Experience

BioSerenity

• France
• Medical Equipment Manufacturing
• 200 - 300 Employee

• Data Science Manager

  • Oct 2022 - Present

  ● Lead the data engineering team of Bioserenity Data Science department● Participate in the design and implementation of an AWS distributed cloud computing platform used to run algorithms on various medical data● Develop algorithms for physiological data analysis with the help of experts from the medical sector

• Lead Data Scientist

  • Feb 2021 - Sep 2022

  ● Lead the Data Science team of the Bioserenity Innovation department● Develop algorithms for physiological data analysis with the help of experts from the medical sector● Participate in the design and implementation of a Google Cloud-based platform used to process data from medical devices developed by Bioserenity Innovation department



NextMind

• Technology, Information and Internet

• Data Scientist

  • Nov 2018 - Jan 2021

  ● Participated in the design and implementation of a modular decoding engine fit for realtime EEG data processing and online adaptation ● Worked on inter-subject transfer learning, decision-making and signal filtering problematics ● Reviewed litterature and implemented novel approaches in the field of BCI ● Participated in the design and implementation of a modular decoding engine fit for realtime EEG data processing and online adaptation ● Worked on inter-subject transfer learning, decision-making and signal filtering problematics ● Reviewed litterature and implemented novel approaches in the field of BCI



PCES

• Région de Paris, France

• Mathematics Teacher

  • Aug 2018 - Mar 2020

  Prepared classes of high-school students over a 6-month period to the mathematical entry exam of French management schools (including Sciences Po). Prepared classes of high-school students over a 6-month period to the mathematical entry exam of French management schools (including Sciences Po).



Ecole normale supérieure

• Research Services
• 700 & Above Employee

• Machine Learning Researcher

  • Jun 2017 - Nov 2018

  Applied machine learning techniques to the development of a Brain-Computer Interface (BCI) within the LSCP lab of the "Département d'Etudes Cognitives" (DEC) of Ecole Normale Supérieure (ENS). Applied machine learning techniques to the development of a Brain-Computer Interface (BCI) within the LSCP lab of the "Département d'Etudes Cognitives" (DEC) of Ecole Normale Supérieure (ENS).



Commerzbank AG

• Germany
• Banking
• 700 & Above Employee

• Fund Derivatives Trader

  • Jul 2015 - Jun 2016

  ● Performed a one-year full-time placement within an Equity Derivatives Trading desk specialised in Mutual Funds. ● Developed a predictive algorithm for the daily net asset values (NAVs) of Mutual Funds, in order to better handle delta hedging, using optimised return-based regression models. The algorithm impacted the whole £2 billion trading book on a daily basis ● Occasionally performed pricing and booking of derivatives products/trades (Options, Swaps) ● Wrote a detailed case-study report on Distributed Ledger Technologies (DLTs), such as Blockchain, and their applications to the financial industry for the attention of the Executive Management Show less



Ekimetrics

• France
• Technology, Information and Media
• 300 - 400 Employee

• Applied statistics group work

  • Oct 2015 - May 2016

  ● Took part in an eight-month project along with three other ENSAE students lead by two managers from Ekimetrics ● Conducted an exhaustive statistical analysis on the retail numbers of a major company of the luxury sector ● Developed a loyalty score and identified groups of customers based on classification models (multinomial ordered LOGIT) ● Took part in an eight-month project along with three other ENSAE students lead by two managers from Ekimetrics ● Conducted an exhaustive statistical analysis on the retail numbers of a major company of the luxury sector ● Developed a loyalty score and identified groups of customers based on classification models (multinomial ordered LOGIT)



Viewsy

• London, Royaume-Uni

• Data-oriented Intern

  • Jun 2014 - Aug 2014

  ● Worked within an international team composed of computer scientists, marketers and sales people for three months. The company provided location analytics to retailers using sensors and computing models ● Developed probabilistic models for various marketing-driven analysis using notably probability theory and ARIMA models ● Worked within an international team composed of computer scientists, marketers and sales people for three months. The company provided location analytics to retailers using sensors and computing models ● Developed probabilistic models for various marketing-driven analysis using notably probability theory and ARIMA models



Safran

• France
• Aviation and Aerospace Component Manufacturing
• 700 & Above Employee

• Company placement

  • Feb 2013 - Mar 2013

  One month company placement on a supply chain One month company placement on a supply chain