Vivike Lapoutre is a data scientist with eight years of industry experience translating complex data into actionable insights, having moved from a PhD in plasma physics to high-speed trading at Optiver and now consulting across sectors at EIFFEL. He specializes in Python and SQL-driven analysis, visualization and dashboarding to improve algorithmic trading and operational data quality, and has hands-on experience extracting and validating messy historical datasets. Comfortable jumping into new domains, Vivike pairs rigorous scientific thinking with practical delivery—whether improving quoting algorithms, predicting auction outcomes, or reconstructing payment histories. Based in Eindhoven, he also channels his mathematical enthusiasm into organizing and supervising summer camps for talented teenagers, revealing a long-standing commitment to math education and mentorship.
8 years of coding experience
10 years of employment as a software developer
MSc, Chemistry, MSc, Chemistry at Radboud Universiteit Nijmegen
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
Contributions:4 pushes, 2 branches in 26 days
pythondatalabeled-datamanipulationdataframes
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