Paul Todorov works at Voodoo and leads an engineering team that leverages massive amounts of data from hundred million monthly users. Before Voodoo, Paul was a Machine Learning Quant at JP Morgan, where he worked on various applications of machine learning to financial markets.
He is also teaching a Machine Learning class to M2 students at Université Paris Dauphine.
When he is not working, he can be found competing on Kaggle, where he achieved the Kaggle Master tier, and ranked top 1% in multiple competitions.
Paul graduated from HEC Paris and also holds a bachelor of applied mathematics from Université Paris 1 Panthéon - Sorbonne, as well as a master in Computer Science from Telecom ParisTech.
2015 – 2016
Ms. in Machine Learning / Big Data
2010 – 2014
HEC Paris, Grande Ecole
Master of Science in Management / Economics
2010 – 2011
Bachelor’s degree in applied Mathematics Integration • Statistics • Probability • Optimization
2019 – Today
Voodoo – Data Scientist, Manager, Paris, France
2019 - Today
Paris Dauphine University – Machine Learning Lecturer
JP Morgan – Quantitative Research – Machine learning Associate, London, United Kingdom
BNP Paribas CARDIF - DataLab, Research Data Scientist, Paris, France
Argoz, Head of R&D – Co-founder, Paris, France
Société Générale Corporate & Investment Banking - Equity Capital Markets, Paris, France
2010 – 2013
Mathematics Teacher - Classes for students preparing the competitive examination to enter French Grandes Ecoles, Paris, France