Paul TODOROV

Biography

Paul Todorov works at Voodoo and leads a team of engineers that processes massive amounts of data from hundreds of millions of monthly users. Previously, Paul was a "Machine Learning Quant" at JP Morgan, where he worked on various machine learning applications for financial markets.

He also teaches a machine learning course to master's students at Paris Dauphine University.

When he's not working, you can find him on Kaggle, where he has achieved Kaggle Master status and ranked in the top 1% of winners in several competitions.

Paul is a graduate of HEC Paris and holds a bachelor’s degree in applied mathematics from Paris 1 Panthéon-Sorbonne University, as well as a master’s degree in computer science from Telecom Paris.

Education & Degrees

Year	University	Degree/Position
2015–2016	Telecom Paris	Master's in Machine Learning / Big Data
2010–2014	HEC Paris, a Grande École	Master of Science in Management / Economics
2010–2011	Panthéon-Sorbonne University	Bachelor's Degree in Applied Mathematics, Statistics, Probability, and Optimization

Professional experience

Year	Function
2019 – Present	Voodoo – Data Scientist, Manager, Paris, France
2019–Present	Paris Dauphine University – Assistant Professor of Machine Learning
2018–2019	J.P. Morgan - Quantitative Research - Machine Learning Associate, London, United Kingdom
2017–2018	BNP Paribas CARDIF - DataLab, Research Data Scientist, Paris, France
2016	Argoz, Head of R&D – Co-founder, Paris, France
2012	Société Générale Corporate & Investment Banking - Equity Capital Markets, Paris, France
2010–2013	Math teacher at a preparatory school, Paris, France

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