Perhaps because of my background in risk management, I have worked for several of GoDataDriven’s financial clients. I also worked on a project for a publishing company. They were looking for tooling that could automatically take their English content, translate it to Dutch and then make summaries of that content in an automated fashion. They wanted to reduce the degree of human intervention in this process as much as possible, and they wanted whatever we were going to build hosted in the cloud.
For instance, today I was stuck on a small difference between the ways two versions of Python handle text – particularly how they encode it. I was banging my head against the wall for a few hours. But just before this interview, I figured it out and the code ran correctly. So now this won’t be on my mind all weekend.
Machine Learning Meetup
A few years ago I attended a Meetup about machine learning co-organized by GoDataDriven. I was impressed by the company’s maturity, and we stayed in touch. Now, I’m happy to say I’ve been working here for a number of years.
GoDataDriven is a good fit for me. My colleagues are all highly talented individuals and social at the same time. Everyone is willing to share their knowledge, so it’s also a great place for technical growth if you are less experienced in some areas. I also like how working as a consultant accelerates your soft skills development.
Gensim, Elasticsearch and Flask
The assignment started with a proof of concept. My approach, as always, was to build a prototype tool quickly. Once I had shown that what the client wanted was possible, then I iterated upon this PoC to improve its output.
To that end, I took advantage of some pre-existing technologies. I used Gensim, which can perform automatic text summarization and the Google Cloud Translation API. I also used Elasticsearch to provide a prototype recommender system with which users of the platform are supposed to find relevant articles. And I used Flask to create a front-end for demonstration purposes.
After trying out some code in Jupyter notebooks, I rewrote everything as Python scripts and set them up to run periodically from a Google Cloud Compute Engine using some ops experience I picked up from a previous assignment. I was pleased that all the pieces came together so well, and the client was impressed by the result.
My audience is not always very technical, and I need to think carefully about the order and presentation of ideas.
We develop and deliver our training on the Python data science ecosystem and use machine learning and natural language processing.
All of these provide ongoing opportunities for me to refresh my knowledge base and work on my communication skills.
Giving a successful presentation, talking to a satisfied student after conducting a course, or finally resolving an issue I’ve been stuck on- these are the things that make me happy in a working day.
In addition to my consulting and training work, I enjoy interviewing and assessing potential colleagues. I appreciate that management places trust in us as consultants to make hiring decisions. Providing positive and negative feedback is an invaluable soft skill to have.
Interested in working alongside Robert?
Your passion is data and analytics. You help our clients with uncovering, organizing, and making sense of their data. You feel comfortable operating in the sweet spot between analytics translation, data science, and data engineering. After unearthing the needs of the business, you make sure the right data is available for creating a valuable solution with analytics. Your beautiful data visualizations allow for a quick understanding, providing the business with direct, actionable insights.
As a machine learning engineer, you work together with data scientists and data engineers on the team to build production-ready, scalable applications driven by data and AI in the Amsterdam area.
You’re a scientist or engineer who is not afraid of maths and who understands how to take models into production. Bringing something from laptop to cluster takes skill and courage and you’re not afraid to do just that.
You are passionate about helping organizations drive their success with Data & AI. You feel comfortable operating at the sweet spot between UX, Tech and Business. And, after uncovering the needs of the business, you’re not afraid to take ownership and make sure the right solution goes into production.
You’re an engineer at heart with a pragmatic attitude and the responsibility of someone maintaining production systems. You easily switch between scripting and structured programming in typed languages. You understand failure modes in distributed systems and you’re passionate about provisioning and automation. And you know how to build robust systems.
A role as data engineer sounds great but there are a lot of new skills and technologies to master and you do not have the time. However, you already have more than two years of experience in a job as a software engineer or dealing with data in another way that is not Excel. We offer you the chance to start as a data engineer at GoDataDriven, kicked off by a month-long intensive boot camp with a lot of 1:1 training with our very own data engineers.
We are looking for senior data scientists who feel at home at the intersection between science, mathematics, machine learning, business, and coaching. You have experience in building value from data through ML and software.
You’re a true leader in marketing with a proven track record in writing, designing and producing compelling content and events. You see, hear and feel stories that need to be shared and make it happen. You find it hard not to share your excitement about new technology with anyone you meet.
Are you ready to take responsibility for the digital campaign management of this AI consultancy boutique? Does your mind fizz with result-driven ideas and do you walk your talk? Then this might be the role for you.