Senior Data Scientist

• Feb 2023 - Present

Senior Data Scientist

• Apr 2021 - Sep 2022

• Developed and deployed an API to leverage a leading healthcare website's users data and provide aggregated insights to multinational healthcare companies • Developed and deployed an API to leverage a leading healthcare website's users data and provide aggregated insights to multinational healthcare companies

Data Scientist

• Jan 2020 - Mar 2021

Part of the NLP expertise• NLP project for the automatization of emails management : developed and industrialized a deep learning classifier to route incoming emails increasing the accuracy to 80% on over 15,000 daily emails.• Open source Python library development (Melusine) : preprocessing, summarizing and classification of emails written in French. Presentations at several major data science events (Big Data Paris, Meetup NLP and DataXDays).• Time Series project for financial ratios forecasting : developed a working capital forecasting model, based on the machine learning and time series techniques, for a major French industrial company beating internal forecasts by 65%.• Fraud detection project : developed a check fraud detection model offering a 90% recall rate at a major french commercial bank• NLP project for the automatization of regulatory watch : web scrap, classify and email regulatory articles to experts at a major french commercial bank• Appointed member of the Natural Language Processing (NLP) expertise and became pre-sale NLP expert. Responsibilities include supporting call for tender preparations and assisting the sales team with client presentations Show less

Junior Data Scientist

• Aug 2018 - Dec 2019

Data Scientist Intern

• Apr 2017 - Oct 2017

• Development of a quantitative investing method as part of the data science team. • Implemented and benchmarked various statistical learning algorithms (XGBoost, Random Forests...) in Python (Scikit-Learn) to maximize the returns of the quantitative strategy. • Development of a quantitative investing method as part of the data science team. • Implemented and benchmarked various statistical learning algorithms (XGBoost, Random Forests...) in Python (Scikit-Learn) to maximize the returns of the quantitative strategy.

Business Analyst Intern

• Feb 2016 - Aug 2016

• Analyzed the transportation expenditures for the EU transportation team • Identified process improvement opportunities and built scalable solutions for correct pricing decisions. • Managed the relationship with the carriers at the European level. • Analyzed the transportation expenditures for the EU transportation team • Identified process improvement opportunities and built scalable solutions for correct pricing decisions. • Managed the relationship with the carriers at the European level.

Project Finance Intern

• Aug 2015 - Feb 2016

• Developed and reviewed financial models to analyze cash flows and credit risks based on market conditions. • Projects included the bond refinancing of a motorway and the financing of a railway project. • Developed and reviewed financial models to analyze cash flows and credit risks based on market conditions. • Projects included the bond refinancing of a motorway and the financing of a railway project.