Summary
Hamed Razavi is a Principal Data Scientist with nine years of experience applying machine learning and causal inference to real-world problems across marketing, fraud detection, and recommendation systems. He blends academic rigor—PhD in Applied Mathematics and postdoctoral work on human-robot interaction and control at EPFL—with hands-on production ML using PySpark, Scikit-learn, TensorFlow and ensemble methods. At OLX and Booking.com he has led experimentation and incrementality measurement for marketing, while his open projects include rental-price scraping and an Expedia recommender that showcase practical end-to-end delivery. Comfortable moving between C++ control code for humanoid robots and scalable Python pipelines, he favors simple, result-oriented solutions and prioritizes focused, iterative improvement. Based in the Netherlands, he also organizes PySpark workshops and brings a persistent, interdisciplinary mindset that bridges research and product impact.
9 years of coding experience
9 years of employment as a software developer
Master's degree Mechanical Engineering, Master's degree Mechanical Engineering at Shiraz University
Doctor of Philosophy (Ph.D.) Applied Mathematics, Doctor of Philosophy (Ph.D.) Applied Mathematics at University of Michigan
English, French, Persian, Dutch