Meet the team

Afke has a passion for data & AI and is on a mission to help companies generate true value with AI. The bridge between the data science and business world still needs to be build and this is her key contribution to the field. She does this through (strategy) consulting, keynote speeches and as analytics translator trainer.

She believes that to get value, companies need to undergo an AI transformation, which goes beyond the execution of AI projects. With over 10 years of experience in analytics consulting, data science and as analytics team lead, she knows what it takes to bring organizations to the next level of maturity. She leads the programs AI Management and AI Operations at HWZ University of Applied Sciences in Zurich.

Afke holds a Master of Science in Econometrics & Management Science – General Econometrics and a Bachelor’s degree in Mathematics.

Alexander has strong skills in listening and analyzing issues and working out the best solution. He aims to deliver business value that fulfills the client’s needs. However, due to Alexander’s robust software development and deployment skills, he will probably over-deliver. Alexander is a positive, enthusiastic team player.

Alexander has solid experience with the following technologies:

• Backend: JEE and Spring (Core, Batch, Security, Integration,…), Hadoop
• Testing: Fitnesse, Xebium, Selenium, JUnit, Mockito, Easymock, JMeter
• Frontend: SpringMVC, Struts2, JSP, Freemarker, Velocity, JSTL, HTML(5), JQuery, DataTables, Flex
• Communication: Soap, WSDL, JSON, REST, Sockets
• Databases: JPA 2, Hibernate, JDBC, Postgres, MySQL, Oracle10g (RAC)
• Server: Apache, Tomcat, Jetty, Glassfish
• Building: Maven, Ant, shell scrips
• CI: Jenkins with pipeline, promotion, quality-tools, and 1-click deployment
• Tools: IntelliJ, Eclipse, Linux, Subversion, Git

Meet Ali, a talented Data Engineer at GoDataDriven. With an MSc. in Data Mining, Ali has a passion for finding the best possible solution and automating it. His expertise in Data Pipelines, combined with his experience as a Software Developer, ETL Engineer, Big Data Engineer, and Cloud Data Engineer, make him a valuable asset to any team.

I am responsible for all things related to recruitment. Contact me if you’d like to have a chat with us.

Andrew is a Big Data Hacker at GoDataDriven. He is an experienced software engineer with a deep understanding of numerous technologies and languages.

Andrew is a certified Cloudera, Databricks, and Cassandra instructor, and also enjoys sharing his experiences on stage, for example at Goto Conference.

Training Courses:
Data Processing at Scale Training
Streaming Architecture at Scale Training

Barend is a data engineer at GoDataDriven. He has a background in software engineering. He has worked on software ranging from classic enterprise software and desktop apps to mobile apps and data-driven applications. This wide experience makes him very adaptable.

As a programmer he enjoys chipping away at complex programming problems until an elegant solution clicks into place. He is diligent about writing clean, clear and well-documented software.

Alongside his consultancy work he is a trainer at GoDataDriven. He enjoys sharing knowledge and helping others improve their software craftsmanship. Barend is an AWS Certified DevOps Engineer – Professional.

Bram is a natural data enthusiast and problem-solver with a vast amount of experience in analyzing large, complex datasets. His passion is to find patterns, insights, and above all, the value that is hidden within raw data.

Bram holds a Ph.D. in Astrophysics and worked as a research scientist in the United States on data-intensive projects revolving NASA’s James Webb Space Telescope. Before his move to GoDataDriven, he worked as a Lead Data Scientist at an Amsterdam tech scale-up. This made him proficient in building, organizing, and coordinating analytical teams while creating business value through the end-to-end delivery of data products.

Bram is an effective communicator who can translate complex problems to both expert and non-expert audiences and enjoys to democratize the usage of data & AI throughout organizations.

Cor improves business processes with data.

With a background in physics and a MSc in data science, he is well-versed in a wide variety of tools and practices. Cor understands on a fundamental level the techniques that he applies. He converts questions into automated and optimized processes. Simply put: Cor believes that actions lead to insights more often than insights lead to actions.

After laying out a solid data engineering foundation, Cor applies AI techniques to give every project or product an unrivalled edge. He just loves to automate solutions to turn your most daunting business challenges into a walk in the park.

Cristiano is an experienced big data engineering & analytics professional with 12+ years of expertise in high impact data-based solutions in multiple areas such as government, finance, manufacturing, and agriculture.

He has played various roles related to both on-premise and cloud environments, such as data infrastructure engineer, self-service analytics lead engineer, data platform enablement engineer, data engineer, data analyst, big data competence lead, DataOps competence lead, and data architect. This made him capable of actively adding value and shaping the entire lifecycle of a scalable data-driven solution in order to make it successful within an organization.

As a team player, Cristiano always brings a positive, collaborative, and innovative mindset as well as his broad knowledge in terms of technology, processes and business for problem solving.

Daniël is a Data and ML Engineer at GoDataDriven. He has experience building data-driven solutions and architecture design.
As a Data/ML Engineer, hee enjoys creating solutions that bring value out of data using scalable and maintainable software.

He is Arrow PMC member of the Apache Arrow project, a new in-memory format for data analytics. He contributes to the Rust implementation and DataFusion, a next generation embeddable SQL engine in Rust.

Daniël holds an MSc in Computer Science with specific interests in Machine Learning, Big Data, Functional Programming, and Compilers.

Daniël is a data engineer at GoDataDriven. He likes working with data and is passionate about building high-quality data solutions. 

Daniel is a data engineer at GoDataDriven. He enjoys working on high performance distributed computation with Spark, empowering data scientists by helping them to run their models on very large datasets with high performance. He is an Apache Spark and Apache Airflow contributor and speaker at conferences and meetups. In his spare time, he enjoys video games and reading (both fiction and non-fiction) and can sometimes be found trying out new tech on his home-built server.

Daniel is GoDataDriven’s Sales Manager focused on AI consultancy, as well as Solutions, our turn-key data platform.

For the past 11 years, he has developed himself in various consulting and sales roles in the Data domain, starting off working with CTOs and lead devs as a funding & innovation consultant, transitioning into a business development role at an Augmented Analytics startup, and most recently working as an enterprise account executive for Database challenger MongoDB.

Daniel studied at the University of Twente, where he obtained is MSc in Business.

Feel free to reach out if you would like to know more about what GoDataDriven can do for your business.

Daniël is a machine learning engineer at GoDataDriven. He has a broad interest and driven to learn more to enrich his machine learning & data skills. He is fascinated by data & machine learning and the possibilities these topics offer to solve real problems. 

During his studies, he has been involved in a variety of data- and machine learning projects. These projects include determining the optimal racing strategy for a world championship winning solar racing team and performing research into sample-efficient reinforcement learning.

At GoDataDriven, Daniël hopes to combine his interest in machine learning with his enthusiasm for solving real problems through building machine learning and data solutions to help clients.

I joined the company at the beginning of 2023 after multiple years of experience teaching about technical topics, and now I continue delivering trainings and developing materials for the Xebia Data Academy.

I have a MSc in Psychology and during my university years I focused on using mathematical models, statistics and data science to study human behavior.

Dennis is GoDataDriven’s Chief Sales, responsible for all customer and sales related activities. For over 10 years Dennis has been privileged to work in the field of CRM, Data Quality, and Master Data Management. He is an experienced sales manager with a proven track-record in enterprise data management solution selling. Engaging with Marketing, IT, and Business Management, Dennis’ drive is to make leading organizations become truly data-driven.

Dennis obtained his Masters degree in Marketing with research focusing on the psychological drivers of loyalty programs and brand awareness.

Diana is the office manager at GoDataDriven. Before joining the GoDataDriven team, she started as an office manager at Xebia, our parent company.

She likes to be the coördinator of all the processes and procedures. Since joining GoDataDriven, the number of GoDataDriven consultants booking flights to the wrong airport has been reduced to zero.

Diederik Greveling is the CTO at GoDataDriven Solutions. He completed his Computing Science Msc degree cum laude at the University of Groningen where he specialized in machine learning and intelligent systems. He focussed his research on applying Reinforcement Learning in the automotive industry.

He is fluent in Python and Java, has a theoretical background in machine learning, and tries to tackle any data problem which crosses his path.

Currently he drives the GoDataDriven Solutions effort, where we offer turn-key cloud and data solutions for our client.

Diego has joined the GoDataDriven Academy at the beginning of 2022. He has several years of sales experience in different industries, maintaining existing business and creating new business opportunities. In his work, he loves to combine his passion for technology and people to help individuals, teams, or organizations to the next level. Diego is an energetic and positive person with a good sense of humor.

Besides his work, Diego is a true fan of Formula 1 and Football. Unfortunately, he will not be making it into Formula 1 anytime soon. So instead, he now decided to work on his racing career step by step on his race simulator setup.

Want to know more about what GoDataDriven can do for you, your team, or your organization? Don’t hesitate to connect me for a cup of coffee and a chat!

Dumky is an experienced analytics engineer with a background in web and app development and marketing analytics. He has worked with a multitude of clients from the financial sector to goverment agencies, online retail and startups. He is at his best when translating business questions to data models, data infrastructure and code. Dumky enjoys the challenge of leveraging a data platform to make complex questions accesible and insightful.  His goal is to automate the boring stuff so teams can leverage their data to answer valuable and interesting business questions. You will find him regularly sharing his learnings at meetups or his own blog.

Enrico studied Psychology with a focus on Behavioral Data Science, Statistical Methods and Cognitive Neuroscience. Before joining GoDataDriven as a Data Science Educator, Enrico worked on deep learning models that might one day help diagnose neurological and mental disorders using brain imaging data. He continues working on these models to this day. Enrico has also taught and assisted undergraduate and graduate courses in mathematics, statistics, data science and programming at the universities of Lüneburg and Amsterdam for several years.

Eva is passionate about contributing to the innovative character of businesses. She is creative and accepts every challenge with a big smile and great enthusiasm. As a consultant within GoDataDriven she focuses on making organizations more future-proof, by looking at the data challenge that is ahead of them. After identifying the data roadmap, Eva helps with executing this roadmap to make its implementation a reality.

She believes that a data driven mindset can really change the world, as long as the human side of technology is also on board. Guiding, training, and coaching the business is, therefore, one of her focus areas.

Her main goal is to make the client more successful because she believes that if you can contribute to the success of your client, you contribute to your own success as well.

Fanny’s mission is to enable data products and empower analytics teams by making data easy to access, monitor and trust. She leverages on the latest technology to develop pipelines & models that deliver ready-to-use data. She actively promotes data democratization and DataOps principles throughout organizations.

Fanny holds an MSc in Finance and has a multi-disciplinary background. She is experienced in developing end-to-end analytics workflows. She enjoys deconstructing problems, identifying requirements and exploring innovative approaches to design solutions that best meet business needs.

Giovanni has a passion for helping organizations get to the next level. Currently he does so as Managing Director of the GoDataDriven Academy.

With a background in Theoretical Physics, experience in the management consulting department of KPMG, and almost 10 years of experience in the Data & AI field, Giovanni knows what it takes to create successful teams and companies in this space.

Giovanni is regularly invited to speak at conferences and events such as meetups, online seminars, podcasts, and expo’s.

He successfully helped clients such as ING, Booking.com, Uber, Ebay, and KLM.

Guillermo is an Analytics Engineer with a really pragmatic and business oriented approach to Big Data Analytics.

He is a clear example of the evolution of the Data Analyst role towards a more engineering focused role powered by modern data platforms. His skills range from writing production-grade data pipelines to building data warehouses or modelling any type of data. He does this while bringing software engineering best practices into his work, which contributes to building scalable and resilient solutions.

Henk is a Principal Data Scientist who builds AI products and AI teams at GoDataDriven.

He combines an academic background in machine learning with extensive experience in building data products in a variety of industries. Besides building data products, Henk enjoys learning and applying new technologies and teaching people new skills. His goal is to build AI products that deliver value and solve the right problem fast.

Clients include: Costa Cruises, Quby, Nuon, Tele2, Heineken, bol.com

Herbert is a data scientist who believes that successful AI solutions are made by combining good change management with the right technical capabilities. He is fascinated by data & analytics and applying them successfully in organizations.

Herbert holds a Master’s degree in Data Science and Entrepreneurship and a Bachelor’s degree in Industrial Engineering. During his studies, he worked on several data science and machine learning projects. Both during and after his studies, Herbert worked at several organizations as a data scientist.

At GoDataDriven, Herbert strives to help companies get the most out of their data, by facilitating courses on analytics translation and Python with the GoDataDriven Academy.

Iris beliefs that making an ai solution work is not only about developing state-of-the-art models. She experienced that ai projects are actually about creating business value, testing ideas, technical feasibility, stakeholder management and expectation management. Iris enjoys the big picture of data science, making true impact on organisations.

Iris holds a Master’s degree in Systems and Control and a Bachelor’s degree in Mechanical Engineering from Delft University of Technology. During her graduation internship she has developed a deep learning model for image segmentation, which sparked her interest for ai business applications. She has been working as a data scientist at a consulting firm for over four years before she started as an analytics translator at GoDataDriven.

I have work in Europe, Latin American US markets in the heavy equipment manufacturing, farming and Energy industries.

I get energized by implementing solutions in a production environment. I get excited to help organizations harness the power of data to achieve their goals and drive innovation.

By ensuring alignment between domain knowledge and context, I create models that are relevant to business goals. Finding unique angles to place messy data into perspective has allowed me to communicate technical information clearly to technical and non-technical stakeholders alike.

James is working with the GoDataDriven Academy to deliver courses on Data Science and Deep Learning. An experienced educator, James has taught across the globe: from East London to China. He enjoys planning creative and engaging lessons, which are structured such that all learners feel challenged.

James holds a Master’s degree in Artificial Intelligence from the University of Amsterdam (Cum Laude); a Master’s in Educational Leadership from UCL (Merit); and a Bachelor’s degree in Mathematics from the University of Manchester (First Class Honours). He is fluent in Python and its data science libraries, such as Pandas and Sci-kit Learn, and is proficient with the deep learning frameworks PyTorch and TensorFlow.

Training Courses:
Certified Data Science with Python Foundation Training

Jasper Ginn is a data engineer at GoDataDriven. He graduated cum laude from his Master’s degree in Methodology & Statistics at the University of Utrecht. Before joining GoDataDriven, Jasper held several full-time and part-time positions as both a data analyst and data scientist. He deeply believes in life-long learning, and is always seeking to expand his knowledge.

Jasper is fluent in R and Python and is learning Julia. He is enthusiastic about open-source software and has contributed to several libraries in R, python and Julia.

Jelle Jan is a Data Engineer at GoDataDriven. He has a MSc degree in Human Media Interaction (Big Data/NLP track) and has worked on data processing pipelines since 2017.

Jelle Jan is passionate about building high quality, easy to maintain code and systems. He is a creative problem solver who has no problems thinking outside the box. Jelle Jan can however also be very pragmatic when needed. He has taken multiple projects from design to production, and then to maintenance and refinement.

He enjoys working closely with colleagues; coaching/helping people with less experience, and learning from those with more. Also working with two people behind one screen, or designing together on a whiteboard are usually the highlights of his day.

Jelle is GoDataDriven’s Digital Marketer. With almost 10 years of experience in the marketing field, both internally and at an agency for various industries, he knows his way around. He’s an enthusiastic and down-to-earth Digital Marketer with a passion for data, automation, design, and sports. He believes that knowing your audience or end-user and what drives him/her is always key to creating truly resonating messages. Also, he likes to be challenged and overcome these challenges with creative solutions.

Besides his life as a Digital Marketer, he is a true sports enthusiast. Working part-time as a CrossFit coach, bouldering, or driving around in his campervan off to the next best surf spot to practice his surfing or kitesurfing. Are you short on music playlists? Let him know as he has quite a few as a lover of music in many genres. Furthermore, he has been busy with design since he was twelve and is never shy of doing some quick work in Photoshop.

Feel free to reach out to Jelle whenever you feel like grabbing coffee for a quick catchup, your marketing needs, or to know more about GoDataDriven.

Jeroen is a Machine Learning Engineer at GoDataDriven. He holds a MSc degree in Data Science from the University of Groningen with Honors and has been involved in Software Development for many years. Jeroen sold his first software when he was 15, and started a freelance Web Development company a year later.
Jeroen worked as a Web Developer for several start-up companies, in Arnhem, Groningen and Berlin. Jeroen learned to work in a fast-paced environment, where iterations are quick due to the use of agile/scrum methodologies.

Whilst working on his Master Data Science, Jeroen worked on Machine Learning and Big Data related projects. Jeroen worked with Machine Learning frameworks such as TensorFlow, PyTorch and Sklearn, and has lots of experience in data processing libraries in Python such as Pandas and Numpy. Jeroen also worked with Big Data processing technologies such as Spark and Kafka.

Besides his usual work, Jeroen has been active in the Open Source community. Jeroen published several PyPi modules, npm modules, and has contributed to several large open source projects (Hydra from Facebook and Emberfire from Google). Jeroen also authored two chrome extensions, which are published on the web store.
Jeroen calls himself a ‘social nerd’, and is always committed to clear and smooth communication. He positions himself well in diverse or multidisciplinary teams.

Joost is a machine learning engineer with a research background and a passion for technology.

Joost’s curiosity and creativity encourage him to explore and come up with out of the box solutions with a healthy dose of pragmatism. He has a broad knowledge base that enables him to keep track of the big picture and bridge different areas of expertise. In this way he has contributed to complex machine learning engineering challenges.

Joost’s enthusiasm and optimistic nature fuels an inspiring atmosphere with the people who surround him.

Jordi is a Machine Learning Engineer at GoDataDriven, who loves the intersection between software engineering and machine learning.

Jordi completed his Computer Science Bachelors and Masters at the Delft University of Technology. During his Masters, Jordi discovered his passion for sharing knowledge when he helped to teach multiple Bachelor courses. He is also deeply passionate about Machine Learning based automation, and especially, Computer Vision. At GoDataDriven, he combines these two passions in his work by helping organizations to become data-driven.

Jordi is experienced in various programming languages such as Python, Java, and JavaScript.

Juan is GoDataDriven’s first Analytics Engineer and organizer of the Amsterdam Data Visualization Meetup.

His mission is to help data consumers to create reliable production-grade data workflows that are easy to maintain, have been properly tested, and are impeccably documented. Half of the time, he teaches analysts how to apply engineering best practices to their workflows. The other half, he helps engineers to get in the shoes of the analysts.

Additionally, he is experienced with low-code tools like Tableau, PowerBI, Dataiku, and Alteryx.

Training Courses:
Power BI in a Day Training
Microsoft Power BI – DA-100 Training
Advanced Power BI – DAX & Data Modeling Training

Julian is a machine learning engineer at GoDataDriven, who also enjoys dabbling in developing open source software. He previously studied at the Delft University of Technology, where he completed his Bachelor in Computer Science and his Master in Bioinformatics cum laude. After Delft, he spent his PhD exploring breast cancer development and origins of (acquired) treatment resistance at the Netherlands Cancer institute, after which it made sense for Julian to use his skills in a more applied setting at GoDataDriven.

Julian enjoys learning new technologies and finding new ways to apply these technologies to effectively solve real-life problems. In his spare time, he also enjoys developing his own Python packages and contributing to open-source projects. Besides this, he is also co-author of the ‘Data Pipelines with Apache Airflow‘ book, which explains how to effectively use Airflow to build data processing platforms and applications.

Clients include: KNAB and Heineken

Training Courses:
Production Ready Machine Learning Training

Kris is a seasoned and communicative developer with a passion for combining technologies to create new possibilities for the people around him. He started developing with Java and gained vast experience with the development of Geographical Information Systems. Over time, Kris gradually developed a passion for open source solutions.

Over the past years, Kris has been working with distributed systems and graph databases, like Hadoop and Neo4J, for large enterprises.

Clients include: Rabobank, Wehkamp, Dutch National Police, ING, KNAB, Schiphol, ABN AMRO, and Technische Unie

Lasse is an Analytics Engineer at GoDataDriven. He has a BSc degree in Informatics and he has been working in the Data field since 2018. He has all-round experience in cloud engineering, software engineering, web development and creating mobile apps.

Lasse loves exploring and untangling datasets, learning more from stakeholders, and extracting value for the customer. Previously he worked in KLM’s Predictive Maintenance team, creating a production-grade pipeline that transformed aircraft data into analytics dashboards, which drove KLM Engineering & Maintenance to cut costs in aircraft component replacements by hundreds of thousands of dollars.

Lasse is fully committed to DevOps™. By leveraging Git, Docker and CI/CD, automated pipelines and infrastructureas-code can be shared across the company and achieve a replicable and transparent way of working. Lasse likes to explore the vast landscape of (open source) technology in order to implement the latest and greatest, while keeping in mind the customer’s needs for security and granularity.

Lasse loves to learn: he enjoys following courses and earning certifications so he can bring new insights to the client’s projects and his GDD coworkers.

Satori, a term meaning awakening, can be used to describe those moments when you experience a sudden dawning of comprehension. To Lucy, there is nothing better than seeing one of these moments reflected on the face of someone who has realised that the somewhat seemingly impossible is, not only possible, but an opportunity to learn and grow. 

Lucy trained as a teacher before spending four years working for a UK bank building models to generate customer risk profiles. She now feels extremely lucky that she can combine her skills in data and her passion for teaching to share knowledge and support the next iteration of data scientists.

Training Courses:
Python for Data Analysts Training
Advanced Data Science with Python Training

I am responsible for all things related to recruitment. Contact me if you’d like to have a chat with us.

With an increasing number of companies becoming more data-driven, there was never a better time to give your data science skills a boost. Maybe you are just starting out in the field or maybe you are already a more advanced data scientist. Either way, Lysanne will always make sure you get the most from a training.

Lysanne studied neuroscience before becoming a data scientist at a start-up in Amsterdam. During her studies, she taught courses for students taking their final exams and always thoroughly enjoyed helping them grow. She is therefore delighted to be able to combine her data science and teaching skills at GoDataDriven. In her free time, Lysanne enjoys lindy hop dancing, hiking and reading. She is also planning on making her own cheese this year!

Manolis is a Data Engineer at GoDataDriven. He has a master’s degree in Computer Science with a specialisation in Data Science and Technology. Before joining GoDataDriven, Manolis held multiple roles as a Data Engineer and Software Engineer in the Banking and MedTech industry.

Manolis is always passionate about learning new things and applying different technologies in solving complex problems!

Marcel completed a study in theoretical physics, after which he did a PhD in particle physics at CERN. His first non-academic job was for Shell, building a mathematical toolbox for optimisation and data assimilation. After that he joined ASML, working on the design of algorithms that process measurements that have to be accurate to nanometer precision.

Marcel is fluent in programming in Python, C++, and Matlab, knows mathematics relevant for machine learning (probability theory, optimisation, linear algebra) and how to use these in programming.

Outside work Marcel likes to make music (plays electric guitar in his band), or cycle with his racing bike.

Clients include: Bakkersland/Borgesius, Schiphol, and Intergamma.

Mariam’s expertise lies in the optimal use of data as a business asset and in enhancing an organization’s data-driven maturity. According to Mariam, an organization that knows how to make good use of its data is a conscious organization that is aware of its opportunities and possibilities, so that easier and more effective decision-making and management can be achieved.

Mariam obtained MSc in Quantitative Finance and a BSc in Econometrics & Operations research from Rotterdam Erasmus University. Her practical background stems from data science and developed further throughout the years towards (data) strategy. She has been working in Data & AI consultancy for over six years before she started as an AI Strategist at GoDataDriven.

Mariam believes that understanding the impact of Artificial Intelligence on society is inextricably linked to creating trustworthy AI. She is therefore also committed to creating an understanding of the importance of trustworthy AI, not only in terms of data or algorithm quality but also in terms of ethics and regulation. She finds it important that her clients can use AI to create value for people in a sustainable and accountable manner.

Mariam can help you with i.a.:

• Data strategy development and execution
• Data-driven maturity audits
• Data management and data governance
• AI Regulation
• Use case ideation, refinement & validation

Marysia is a data scientist at GoDataDriven. She completed her Master’s degree in Artificial Intelligence at the University of Amsterdam, where she specialized in machine learning. Her research was focused on data-efficient deep learning. Applying this research on medical images at a company kickstarted her career at the crossroads of academia and industry.

This left her with a strong theoretical foundation in machine learning and data science. As well as an understanding of and real-world experience with what it entails to bring a project to production. 

She thoroughly enjoys spreading knowledge to help others to improve their data science skills. Even more so, she is always eager to learn from and be inspired by her peers. To facilitate this, in addition to her work at GoDataDriven, she organises regular Python/data science meetups in and around Amsterdam as well as a yearly conference. The conference proceeds are used to directly support the development of open source tools in the Python scientific computing ecosystem.

Training Courses:
Deep Learning Training

Max is GoDataDriven’s Sales Manager for the Southern region of the Netherlands. Based in Eindhoven he is helping organizations with their data driven ambitions. Max is driven by positivity and believes that every organization can become a more data driven organization. With more than 10 years of experience in the world of data & AI he is able to understand business challenges and how data can be part of the solution to meet these challenges.

Want to know more about what GoDataDriven can do for your business? Don’t hesitate to connect!

Growing up in Siberia, Nelli felt a strong desire to broaden her horizons. It was only a matter of time before she moved away and began exploring. Just like wild animals and sheer heights don’t intimidate her much, she’s not afraid to dive deep into untrodden datasets.

Nelli’s background is in Quantitative Finance and prior to joining GoDataDriven, she spent several years working in banking as a Quantitative Risk Manager where most of her data science experience was with building models for credit and operational risk measurement.

Currently her interests are not limited to financial data, she is interested in all kinds of (big or tiny) data use cases and, in particular, how data science can be applied to solve environmental, sustainability, or social issues.

Nelli will be happy to get in touch with you to discuss how machine learning and data science can be leveraged to improve the world or your organisation!

Nico joined the GoDataDriven Academy in the beginning of 2021. He has several years of sales experience within technical training programs. Learning and development was always one of the key interests within his field of work.

People are the number #1 asset of companies. Helping organizations and their employees developing their skills and knowledge is one of his main drives.

Feel free to reach out to Nico for a cup of coffee to get to know what the GoDataDriven Academy can do to help you to reach your goals!

Niels is Chief of Technology at GoDataDriven and works for a wide range of companies where he engineers features and builds models.

Niels finished his PhD thesis at the Technical University of Delft where he researched into P2P systems, primarily focusing on privacy and cooperation, including applying encryption and anonymization techniques in the P2P domain.

Niels is experienced in various programming languages such as Python, Java, C#, R.

Pádraic is an Analytics Engineer at GoDataDriven. He started his career as a Data Analyst before developing an interest in how best to automate the more technical aspects that support Business Intelligence and Analytics functions.

Pádraic is a problem solver with strong troubleshooting and analytical skills. He has a keen interest in staying up to date with BI and Analytics technologies. He likes to understand and implement these technologies to help customers structure their technology and people for success.

He has worked across several industries including online advertising, conference organisation and telecommunications where he has provided end-to-end data ownership ranging from ingestion from external sources to presentation in reports. He has undertaken projects including ingesting data from API, SQL and NoSQL sources to an Analytics database and setting up BI tools for FP&A reporting.

Pádraic is a strong advocate for learning by doing and so will always try to implement solutions. He likes to identify requirements and compare and contrast solutions to find the best fit

Paulo is bringing 15+ years of experience in I.T. to the table. He has a background in computer networks and has played many different roles over the years: design, development, and supporting both on-prem and cloud (big) data solutions.

Which projects he likes the most? The ones that are technical challenging and where he can transform abstract problems into tangible solution plans.

Peter has find his passion in the intersection of data, architecture and consultancy. He has worked in IT for over a decade, in a variety of different positions over time; IT consultancy, IT manager and Data architect. In recent years his focus has been on the adoption of cloud and SAAS for data and analytics. Helping businesses and (IT)teams making the transition in way of working, knowledge/skills and technology.

By combining a strong curiosity with an analytical and conceptual way of thinking he’s become known for grasping complex architectural topics and solving the tougher problems his stakeholder face. He is able explain these topics in an understandable way to IT-, business- and executive stakeholders on different levels.

Peter is deeply solution-oriented, always thinking a few steps ahead with the end goal or end user in mind. One of his biggest passions is pulling apart tricky problems to deliver simple solutions.

Peter thrives in company environments where he can work with his peers to get projects across the line. Cross-team collaboration is important to him, and his drive to create solutions that support his colleagues, as well as the company, enable him and his team to deliver impact.

A creative problem solver with strong troubleshooting and analytical skills, Peter stays up to date with new technologies. He likes to understand and implement these technologies as well as help customers adjust their analysis platforms accordingly.

Peter enjoys connecting and harmonizing multiple solutions together, because he finds that that is where he can have fun with data science/engineering, software development, and networks and systems architecture.

Peter has solid experience with the following technologies:

• Backend: Slurm, SGE, Docker, Kubernetes
• Big data: Spark, Oozie, Databricks, Airflow
• Cloud: GCP, Azure
• Programming: Scala, Java, Python, Bash, SQL
• Testing: TestNG, Scalatest, Junit
• Frontend: SpringMVC, Struts2, JSP, Freemarker, Velocity, JSTL, HTML(5), JQuery, DataTables, Flex, Spring
• Databases: JDBC, Postgres, MySQL, H2, sqlite, Neo4j
• Building: Maven, Sbt, shell scrips, Make
• CI: Jenkins, Travis, Gitlab
• Tools: IntelliJ, Linux, OSX, Git

Clients include: Booking.com

Puck focuses on all things recruitment. From hiring to employer branding, from events to interviews. She’s everywhere all the time and most likely you can find her searching in communities and expert meetups for that one, inspirational talented professional who can add extra color and flavor to the GDD Team. Chasing happiness by helping you expand and explore your talents and skillsets is as well her hobby as her job.

In her spare time, Puck enjoys studying NLP as a coaching methodology, loves to watch Formula 1, and tries to brew that perfect filter coffee that can change your day.

Ramon is a Data Engineer at GoDataDriven with a background in Software Engineering. After graduating as a Software & Information Engineer at the HU University of Applied Sciences Utrecht, Ramon fulfilled different roles within the IT-space. Starting out at a start-up as a front-end and mobile app developer, Ramon moved on towards back-end and gained more interest in cloud and big data.

Ramon has a passion for Google cloud platform, and loves automating processes using a variety of technologies. From designing and writing code in Python to get data from A to B, to setting-up cloud infrastructure using Terraform. Ramon is a fast learner and loves to gain and share knowledge about the newest technologies. Besides that Ramon enjoys working with teams in an Agile way, to achieve a high level of collaboration and productivity.

Razvan is a Data Engineer at GoDataDriven with a sound background in Software Engineering. He has built and maintained data-intensive microservices for the MarTech industry. These services had to stream, process and store large volumes of data for major European companies.

Razvan enjoys making scalable and reliable solutions by leveraging distributed technologies and cloud platforms. He designs applications thinking about quality, simplicity, having tests in place, CI/CD flows, monitoring and alerting systems and documentation.

He holds a BSc degree in Computer Science Engineering. On top of that, he keeps actively learning the latest big data technologies and best practices.

Renald studied Computer Science at the Twente University, where he focused on Machine Learning and Natural Language Processing. After that, he spent more than a decade as a researcher for the Leiden University, where he got a PhD in the field of the Quantitative Analysis of Science. He has been active in the world of Big Data and Data Science since 2010.

While studying in Twente, his aspirations in building his own computer were squashed when during a Laboratory Class he blew up a transistor in just under a minute and only found out after more than half an hour.

Currently, Renald is helping to set up a global community within Xebia around Data & AI.

Rens graduated cum laude in Econometrics & Operation Research. He has worked as a researcher at the intersection of Business and Machine Learning. At GoDataDriven, Rens builds products that transform data into insights and turn insights into action.

Training Courses:
Deep Learning Applied to NLP Training
Interpretable Machine Learning
AI for Executives

Rob is an experienced director with a proven track-record in technology and data-driven solutions. He has been at the forefront of building the data driven enterprise for years. As a real people’s person, Rob enjoys sharing his experiences with like-minded professionals during conferences, trade-shows, and other events. 

Rob holds a MSc in Marketing

At GoDataDriven Roel is helping customers by building data products so they can enjoy the value of their data. He is using both his scientific skills as well as his computer programming background to deliver high quality software.

He enjoys keeping in close contact with the business side of the company since this really improves the chance of success and impact of his work. It comes naturally to him to pay close attention to the personal aspects of working in a team/organisation.

Over the years he has gained experience in leading companies such as Heineken, KPN, DuPont, Unilever, Tele2, Friesland Campina, Nuon, ING and Ahold Delhaize.

Before joining GoDataDriven, Rogier obtained a PhD in particle physics. Rogier gained hands-on experience with handling enormous quantities of data and processing, or ‘charming,’ them into a manageable format before performing complicated analyses. After his PhD he exchanged physical science for data science at GoDataDriven, where he is now putting his skills to use on more business-driven problems. He likes applying data science to anything; be it his daily commute, improving his photography skills or the contents of his lunch box.

Clients include: Bakkersland, App Annie, Costa Cruises, ING, NPO, Ebay, KLM, and RoyalFlora Holland

Roy is a Machine Learning Engineer at GoDataDriven. He holds a MSc degree in Chemical Engineering and decided to fully switch to software engineering in 2016.

He is a pragmatic engineer interested in the latest technologies that will always choose the tool that best suits the job. He has a passion for building high-quality and highly maintainable software systems. To achieve this he puts great effort in CI/CD, layered testing, monitoring/alerting and special attention to documentation. He takes an agile and incremental approach to software. He goes by the motto: “if your model is not running in production, it does not exist”. It is better to put a model in production that delivers some value, than having none at all.

He is a team player that communicates clearly with both business and technical colleagues. He takes ownership and responsibility of his work and steps up when a situation demands it. He has vast experience in building customer facing software as well as IT-for-IT systems. He emphasises establishing clear domain terminology understood by all parties involved. He always keeps in mind the bigger pictures with a keen focus on architecture and software component design.

With 15 years of experience in hospitality and a bachelor in Leisure & Events Management, Shanon always aims to create a homely hospitality experience with a little bit of added flair.

When colleagues want to organize an event, there are a lot of details to think about, such as the planning, permits, catering, personnel, and of course, the stage setting. Luckily Shanon is an expert in all these details and adds her own personal touch to our events.

If you have any questions regarding our office in Amsterdam about booking a room, organizing an event, or finding the right supplier for your event, Shanon will be happy to help you out.

Steven likes to combine thorough data analysis with strategic business thinking. Being a data science consultant since 2014, he has demonstrated the added value of analytics in several industries now, often redefining business processes using data-driven insights. To make his point Steven has mastered not only R and Python, but also PowerPoint. This makes him an excellent translator who brings value by bridging the gap between business stakeholders and data scientists.

Before becoming a consultant, Steven studied Econometrics at the University of Amsterdam and worked in the financial industry. He decided to become a data scientist after investigating how sentiment derived from social media text data influences financial markets. His work got published in the Journal of Behavioral Finance. Although the algorithm didn’t make him rich, he gained valuable experience in modelling and programming. Something that he now teaches to clients at GoDataDriven.

Steven is a data and travel enthousiast. In his spare time he combines both passions by building a recommendation engine for travel inspiration. Need a suggestion for your next trip? Check out his hobby project Stairway to Travel.

Please feel free to contact Steven if you want to know how Data Science or Big Data could be relevant to your organisation.

Clients include: KLM, Dynniq, and Randstad

Steven believes that data-driven decision-making needs stakeholder involvement as much as it needs a solid data model. He helps companies embed data science beyond its data scientists and engineers, by facilitating business translator and analytics translator courses with the GoDataDriven Academy.

Steven gained extensive experience in facilitating trainings, stakeholder involvement and project team management. He obtained this experience through his work as a management consultant (6+ years) and trainer of various courses (10+ years).

Steven holds a Master’s degree in Econometrics – Quantitative Finance (Cum Laude) and Bachelor’s degrees in Econometrics & Operations Research, and in International Business Economics. Steven is proficient in Python.

Training Courses:
Certified Analytics Translation Training

After graduating Cum Laude in Natural Science, Stijn decided to apply his scientific skills to work in a business environment. Before joining GoDataDriven, Stijn worked on data solutions in the mobile app market and secure transaction industry.

As Chief Strategy & Innovation Officer, Stijn is responsible for keeping GoDataDriven on top of its game when it comes to driving innovation through data science and machine learning. To achieve this goal, Stijn heads several programs that are all about learning today what can be done with the technology of tomorrow. An example of this is our GDD Moonshots initiative which focuses on solving high-impact problems by applying new technology, using uncharted data sets and building cutting-edge products.

In the role of Lead Data Scientist, Stijn helps clients with building smarter and more relevant data products that truly create value for both business and customer. To achieve this goal, Stijn guides organizations in rapidly going from business ideas to data applications running production.

Clients include: Enza Zaden, Albert Heijn, Randstad, ING, Heineken, Transavia, KLM, Vattenfall, Eneco, Schiphol, NPO, EO, AppAnnie, and Interpolis.

Tennyson believes that AI/Machine Learning projects are inherently fun and worth doing, but also that outside of a few select environments, companies want to see clear business value from those projects. He loves helping people to create and see the business value of these projects through facilitating analytics translation courses at GoDataDriven Academy.

In terms of formal training, Tennyson has a master’s degree in business administration from the University of Amsterdam and a bachelor’s degree in Actuarial Science from the University of Cape Town. His prior professional work experience was as a consultant in KPMG South Africa’s Actuarial Services team, assisting a variety of clients in actuarial modelling and other risk management-related projects.

Thomas is an AI generalist with a strong technical background. With the experience that the main challenge on generating value with AI lies in the business integration. Thomas believes a people-driven approach is required to realize the value of AI. By utilizing a curious and critical mindset, Thomas focuses on understanding business needs and taking them along in their AI maturity journey.Backed by an MSC and BSC in Artificial intelligence and 5.5 years of consulting experience before joining GoDataDriven. Thomas experienced first hand how to implement successful AI solutions from different perspectives. From Data scientist to Business analyst, he filled in several roles, with the consistent factor being the linking ping between business and IT.

During his 7+ years in the financial sector, Tim held several different roles, all within the data domain. After setting up infrastructure, building data pipelines, data warehouses, data marts, ML and statistical models, creating dashboards and analyses, you could say he is quite all-round.

While fulfilling these different roles, one pattern emerged: he is always drawn by the technology and fascinated by figuring out how new technology works and how it could help a company accomplish its goals. After having led a team of analytics engineers, Tim decided to follow his heart and expand his knowledge as a Data Engineer.

Being an all-round data professional makes it easy for Tim to communicate and collaborate with professionals of different background and technological prowess.He loves using visualizations to explain complex notions.

Tim is often referred to as machine learning engineer. He has a background in Artificial Intelligence (MSc) and Software Development and as such enjoys building scalable machine learning solutions, feeling comfortable with both data science and data engineering.

His main focus is getting models to production to achieve business value.

Tim is often seen in the gym lifting weights. He also takes the occasional run, bike ride, swim, or crossfit WOD. Ask him anything about food and/or fitness and you’ll likely get a helpful answer.

Training Courses:
Docker & Kubernetes Training
Create Data Science Products Training
Python for Data Engineers Training

Tim has 10+ years of experience in the information technology and services industry, in both small/medium-sized and corporate organizations.

He’s very passionate about people, technology, and the most effective ways to connect the two by sharing his knowledge and experience. Working collaboratively with customers and partners inspires and excites him, especially when the outcome is noticeable valuable to a business and results in real innovation.

Tim studied at the University of Twente, where he obtained his MSc degree and an Executive MBA focused in Business Administration and Management from TSM Business School.

Want to know more about what GoDataDriven can do for your business? Don’t hesitate to connect!

Usman is a Machine Learning Engineer at GoDataDriven. He has a BSc in Physics from Imperial College London and a MSc in Data Science from the University of Edinburgh. He has worked at a professional services company where he developed data solutions for a global userbase and at a startup in the automotive industry where he both developed and implemented data science solutions. He has also worked within the Insect Robotics research group at the University of Edinburgh where he specialised in computational neuroscience and was able to combine his theoretical knowledge and software engineering skills to perform complex simulations of biological processes in the brain.

Usman has great attention to detail and thrives on creating high-quality work from which others can benefit. His educational background has influenced his approach and he strives to abide by a set of foundational principles (often from the software engineering world) that can guide his work.

Vadim combines advanced data science with business insights to make data work with an impact. He sees far beyond what is on the surface and gets to the essence of the problems, discovering innovative long term solutions rather than temporary fixes. Having an academic background, Vadim is always at the frontier of the latest techniques and innovations. This allows him to understand, optimize, and interpret cutting-edge algorithms that may be merely a black box for others.

Vadim is passionate about sharing his knowledge and insights, believing that Data literacy should not be a privilege of a few. And his goal is to be there to make this a reality. Making the intricacies of data analysis intelligible and uncovering the regularities hiding in the data is a major source of inspiration for Vadim.

Beyond conventional Data Science, Vadim is a Reinforcement Learning & Automated Behavior enthusiast. In his spare time, he is curious about discovering applications of automated decision systems in domains such as art and music.
Please feel free to contact Vadim if you want to know how Data Science can provide unconventional solutions for seemingly everyday problems.

Training Courses:
Data Science with Spark Training
Practical Time Series Analysis & Forecasting Training
Bayesian Modeling Training

I am responsible for all things related to recruitment. Contact me if you’d like to have a chat with us.

Wessel helps clients building data-intensive applications. Operating at the intersection of data science and data engineering, he bridges the perceived gap between the two.

As Wessel favors the minimalist and modular approach to software development, Wessel always strives to implement reusable pieces of functionality. Reinventing the wheel could and should become a rarity, he believes.

Before joining GoDataDriven as a Data Engineer, he dedicated his time and effort to building data pipelines and implementing (predictive) analytics applications for clients in various industries.

Yke is a Machine Learning Engineer at GoDataDriven. He enjoys a deep dive into any given problem, breaking down all of its components and working towards the best possible solution to serve the business needs. Yke is self-motivated, highly dedicated, and always carries a positive attitude.

His fascination for complex matters led Yke to pursue a BSc in Astronomy at Leiden University, followed by a MSc in Artificial Intelligence at the University of Amsterdam. During his studies, he acquired hands-on experience with state-of-the-art machine learning models and multiple programming languages.

Yke has worked in various teams on different projects ranging from computer vision to natural language processing. A recent project involved the design and development of a ML solution to detect planets outside our solar system at the European Space Agency.

At GoDataDriven, Yke’s goal is to help companies in the process of becoming truly data-driven. With his strong analytical background and eye for detail, he strives for creating business value and is not satisfied until everyone involved is happy with the output and has learned something new.

Zhou is an Analytics Engineer at GoDataDriven. Worked as a data analyst and consultant previously, it didn’t take her long to realize that the lack of automation is the bottleneck of most organizations’ data-driven journey. She is now a passionate advocate of data democratization and is keen to help organizations optimize their analytics workflow with cutting-edge technologies.

Zhou holds a Ph.D. in Systems & Control from Delft University ofTechnology, where she developed a methodology to optimize the maintenance activities of Dutch railway networks. She is experienced in providing end-to-end analytics solutions in various industrial sectors, including last-mile deliveries, container terminals, transportation, and infrastructures. She is a self-starter and a master in stakeholder management.

Zhou enjoys exploring different technical domains and looking for the latest advances. She is a lifelong learner, who believes that optimization, at both individual and organization levels, is a never-ending journey.