Dileep Menon is a Data Science Manager at Booking.com, where he leads experimentation, performance reporting, and strategic insights in digital marketing. He earned a PhD in Mathematics with research interests in causal inference, experimentation, machine learning, probability, and statistics. He holds a BS in Mathematics from The University of Chicago and a Master of Advanced Study in Pure Mathematics from the University of Cambridge. Based in Amsterdam, Netherlands, he combines leadership with hands-on data science and advanced mathematics to translate theory into scalable solutions. In addition to his industry work, he contributes to open-source Python science software, notably as a back-end developer for PySPH, implementing shallow water equations and tsunami modeling components and improving code quality. This blend of rigorous mathematics, practical experimentation, and open-source collaboration informs a leadership style that turns abstract theory into tangible impact.
10 years of coding experience
9 years of employment as a software developer
Master of Advanced Study - MAst., Pure Mathematics, Master of Advanced Study - MAst., Pure Mathematics at University of Cambridge
University of Illinois Urbana-Champaign
Bachelor of Science - BS with Honors, Mathematics, Bachelor of Science - BS with Honors, Mathematics at The University of Chicago
A framework for Smoothed Particle Hydrodynamics in Python
Role in this project:
Back-end Developer
Contributions:12 commits, 1 PR, 3 comments in 3 months
Contributions summary:Dileep contributed significantly to the `pysph` repository, focusing on the shallow water equations module. Their work involved implementing equations for solving shallow water problems and updating the particle array. They also added various equations and classes related to shallow water flows. Furthermore, the user refactored code and fixed Pep8 issues, improving the code quality and readability. The user also added an example for the Okushiri Tsunami.
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