Paul TODOROV

Senior Lecturer, Data Science | Data Scientist, Manager – Voodoo
Paul TODOROV

Biography

Paul Todorov works at Voodoo and leads a team of engineers who analyse vast 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 applications of machine learning to financial markets.

He also teaches a machine learning course to Master’s students at Paris Dauphine University.

When he’s not working, he can be found on Kaggle, where he has achieved Kaggle Master status and ranked in the top 1 per cent of winners in several competitions.

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

Education & Qualifications

YearUniversityQualification/Position
2015 – 2016 Telecom Paris Master’s in Machine Learning / Big Data
2010–2014 HEC Paris, Grande École Master of Science in Management / Economics
2010–2011 PanthĂ©on-Sorbonne University Bachelor’s Degree in Applied Mathematics – Statistics – Probability – Optimisation

Work experience

YearRole
2019 – Present Voodoo – Data Scientist, Manager, Paris, France
2019 – Present Paris Dauphine University – Senior Lecturer in Machine Learning
2018–2019 JP Morgan – Quantitative Research – Machine Learning Associate, London, United Kingdom
2017–2018 BNP Paribas CARDIF – DataLab, Research Data Scientist, Paris, France
2016Argoz, Head of R&D – Co-founder, Paris, France
2012SociĂ©tĂ© GĂ©nĂ©rale Corporate & Investment Banking – Equity Capital Markets, Paris, France
2010–2013 Mathematics teacher in preparatory classes, Paris, France

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