Meet the team

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

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

Arjan has over 10 years of experience in consultancy, data and analytics from a variety of roles and industries. Before joining GoDataDriven, Arjan was involved in establishing and extending data science teams. He helped organizations growing the data science teams in terms of size, quality, maturity and impact. Empowering organizations to become data-powered and information-driven.

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.

Bas has a MSc degree in Computer Science and has been gaining experience in software consultancy since early 2011, having worked at Capgemini and Xebia Software Development before joining GoDataDriven.

He is passionate about building maintainable high-quality data products. He helped to optimize timetables and employee scheduling for the public transport of Amsterdam, built distributed data-pipeline systems for Wehkamp ecommerce platform with Scala, Akka and Kafka and processed large amounts of data with Spark to help Nuon make better informed decisions.

Bas is a Data Engineer at GoDataDriven. Before joining the team he finished a Master's in Computer Science cum laude. His goal is to build zero maintenance data-driven products for real-world solutions. His current interests lie in the cloud and containerised world as he believes it brings the fastest end user value and best software. He has an open source and start-up mentality and is always looking for challenging ways to learn and improve.

Clients include: Booking.com, Unilever Food Solutions, Knab, Yolt (by ING), ANWB, and the Dutch Police

Bas has years of experience with Data warehouses, ETL jobs and Reports, but the most fun he has had was building a Security platform which was used for ingesting security related log data from different customers to discover in real-time security threats in their network. After being the only Big Data Engineer at an earlier job, he decided to continue his career at a company which has Big Data as its core business with many enthusiastic people to share knowledge, work together on awesome projects and enjoy discussing related topics. And here we are at GDD!

At GoDataDriven, he is always on the lookout for the best solutions as Big Data Engineer. In his free time he plays soccer, trains at the gym, goes on adventure holidays, and watches movies and tv series'.

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, relationships, and above all, insights that are 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.

Daniël is a Machine Learning Engineer at GoDataDriven. He has experience building data-driven solutions at companies such as bol.com.

As a Machine Learning Engineer, he bridges the gap between data engineers and data scientists. He enjoys creating solutions that bring value out of data using scalable and maintainable software.

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

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.

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.

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 a data scientist at GoDataDriven. 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.

Clients include: Heineken, Dynniq, and Webbtraders.

Gert-Jan is GoDataDriven Academy's Director of Sales, responsible for all customer and sales related activities of our Academy. For over 7 years Gert-Jan has been working in the IT Recruitment industry as a manager and director. He is experienced within the IT industry and was responsible for the the setup of several learning journeys for IT professionals.

Gert-Jan obtained his Masters degree in Corporate Communications and has a publication in the Public Relations Review.

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 Lead Data Scientist who builds AI products and AI teams.

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, and Heineken

James is passionate about using data and AI to have a positive impact.

Having engaged in a number of commercial and academic Machine Learning projects, James is now 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, as well as 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.

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

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

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

I live in Utrecht with my family; two kids Juliette (5) and Maxime (3) and my partner Michael. The last 10 years I’ve been working at VodafoneZiggo, in different B2B marketing communication roles and the last few years as a Content Strategy Manager. More info you can find here linkedin.com/in/lobkecastelijn

My mission as Chief Marketing at GoDataDriven is to help GoDataDriven become an authority in the world of data science/AI by claiming thought leadership and create accessible, relevant content, campaigns and events to show organisations how we can help them become more data driven.

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.

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.

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

Mark Schep is an entrepreneurial industrial engineer with a passion for data science. His ambition is to build data driven products that add value to organisations. To get there, he leans on his background and experience as a data scientist which he uses to translate business problems into data solutions.

Mark will help you identify valuable data science applications, as well as how to make them work, make them better, and get them to scale.

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!

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.

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!

Noel Kippers is a Machine Learning Engineer at GoDataDriven. While working on e-commerce platforms, he developed his skills by building machine learning models related to marketing, finance, and recommender systems. He holds a Ph.D. in Mechanical Engineering from the University of New Brunswick, and his research focussed on building mathematical models to describe random processes. Noel dislikes surprises, and as a Machine Learning Engineer, he strives to build robust systems that ensure results are accurate and on time.

In addition to addressing technical problems, he values the importance of relating Data Science and Machine Learning to the business' needs.

While proficient with Python, R, and various frameworks/libraries related to Data Science, he has deployed Machine Learning pipelines and models using Azure and Google Cloud Platform.

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

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 is GoDataDriven's Chief Operations, where he is responsible for the day-to-day running of the company and the continuous improvement of the services offered to GoDataDriven's clients.

He 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, when some of the current aspiring Chief Operations were still in high school.

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.

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

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.

Clients include: DuPont and ING

Training Courses:
Deep Learning Applied to NLP Training

Robert Rodger is a data miner, analyst, visualizer, and scientist at GoDataDriven.

Academically, his background is in mathematics and theoretical physics, having earned a B.Sc. at Stanford University and an M.Sc. cum laude at Universiteit Utrecht. Professionally, though, his background is in risk measurement and management, first at a large American investment bank before he saw the light and moved to a machine learning-based FinTech shop in Amsterdam.

Robert’s interests aren’t limited to the financial world, though! He’s curious about all manner of big data use cases, and in particular he’s eager to hear about what you are doing with big data.

Read more about a day in the life of Robert

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

• Google Cloud Certified Professional Data Engineer
• Certified Kubernetes Application Developer
• Certified Docker Associate
• Certified Neo4j Developer

Ruben is a data scientist at GoDataDriven. He holds a MSc degree in Econometrics and Operations Research and obtained a PhD degree in mathematics on data-driven optimization. Most of his academic work evolves around (dynamic) pricing and data-driven scheduling. Prior to joining GoDataDriven, he gained experience in FinTech, risk management, and health care IT.

You can ask him anything about data-driven optimization!

Clients include: Heineken

With 15 years of experience in hospitality, Sander is the go-to guy if you have any questions about hospitality or the facilities in the Amsterdam office.

Whether it's planning an event or the building needs some TLC, Sander will help you with a smile.

Without Sander and his hospitality colleagues, there would be no great coffee, tasty lunch, or snacks to battle the mid-afternoon slump. Sander is not only great at making awesome coffee, he is also GoDataDriven's sandwich artist in residence.

Sarah Parinussa is a Data Scientist at GoDataDriven. Before joining GDD, Sarah worked as a researcher and data scientist on diverse projects ranging from time-series studies to medical CT-image analyses to building production ready ML pipelines. She is keen on extracting relevant insights from data and linking those to business value. Experience has taught her that you often have to look beyond the data to find the deeper meaning in your results.

Sarah has a broad interest in diverse topics and is always eager to learn, this in combination with her diverse background in Neuroscience and Artificial Intelligence gives her the ability to view problems from a different perspective, and thus create out-of-the box solutions.

A curious mind, a positive vibe and a handful of creativity are essential to make any project work.

Current client: Atradius

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 beliefs 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: Randstad, ING, Heineken, Transavia, KLM, Vattenfall, Eneco, Schiphol, NPO, EO, AppAnnie, and Interpolis.

Tünde Alkemade is a Big Data Hacker at GoDataDriven, where she focuses on installing, interconnecting and tuning systems and also on implementing software needed for data driven solutions.

Fascinated by the challenges that distributed systems can pose, she developed her skills by obtaining a MSc in distributed computing and decided to apply her knowledge to production systems. She gained her consulting skills at KPMG, where she acted as an architect for several large corporations.

At GoDataDriven, she finally found the perfect combination of helping clients and hands-on work. She is involved in setting up secure Hadoop clusters, optimizing search results, creating recommendation systems, and giving advice to customers.

Clients include: Booking.com, Knab, NS, ING, Vattenfall (Nuon), RTL, Bakkersland, Schiphol, Wehkamp, Sonepar, KPN, KLM, Kamer van Koophandel, Reed Business, and IMC

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 is a Solution Sales Professional, with 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!

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

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.