Ruben Mak
Lead Data Scientist
Utrecht, Utrecht, Netherlands
Summary
👤
Senior🎓
Top SchoolRuben Mak is a Lead Data Scientist based in Utrecht with a decade of experience applying econometrics and Bayesian methods to advertising and causal inference problems. He has progressed from founding a data science team to leading multi-team departments, shaping ad-tech products like conversion attribution and real-time bidding systems. Ruben is a seasoned speaker and PyData co-chair whose conference talks chronicle practical advances in hierarchical models, instrumental variables, and the causal effects of ad overexposure. He combines rigorous academic training in econometrics (cum laude) with hands-on engineering across cloud analytics, localization systems, and look‑alike modeling. Notably, he blends product ownership with deep statistical modeling—turning complex causal questions into deployable solutions that influence the future of the advertising ecosystem.
10 years of coding experience
10 years of employment as a software developer
Bachelor, Econometrics and Operational Research, 75%, Bachelor, Econometrics and Operational Research, 75% at Universiteit van TilburgVWO, Nature an Technique, VWO, Nature an Technique at Bisschop Bekkers CollegeExchange, Business, 88%, Exchange, Business, 88% at Peking University
English, Dutch, Chinese
Github Skills (14)
location10
notification10
near10
whenever10
slack8
bluetooth5
hardware4
hardware-designs3
firmware2
iot2
python1
inference1
causal-inference1
causal1
Programming languages (2)
Github contributions (5)
rubenmak/PokemonGo-SlackBot
Jul 2016 - Feb 2022
Receive Slack notification whenever a Pokémon spawns near a given location
Contributions:14 commits, 12 PRs, 42 pushes in 5 years 7 months
monslacklocationnotificationwhenever
rubenmak/create_jupyter_notebook_venv
Mar 2020 - Apr 2020
Contributions:8 pushes, 1 branch in 18 days
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