Paul Todorov
Paul Todorov
Expert Professor, Data Science | Data Scientist, Manager - Voodoo
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 |