Paul Todorov

Paul Todorov

Paul Todorov

Expert Professor, Data Science
Field(s) of expertise
Data Science, Machine Learning, Deep Learning

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.

Year University Diplôme/Position
2015 – 2016 Telecom Paris Ms. in Machine Learning / Big Data
2010 – 2014 HEC Paris, Grande Ecole Master of Science in Management / Economics
2010 – 2011 Panthéon-Sorbonne University Bachelor’s degree in applied Mathematics Integration • Statistics • Probability • Optimization
Year Position
2019 – Today Voodoo – Data Scientist, Manager, Paris, France
2019 - Today Paris Dauphine University – Machine Learning Lecturer
2018 –2019 JP 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 Mathematics Teacher - Classes for students preparing the competitive examination to enter French Grandes Ecoles, Paris, France