About Me

Thomas Schmitt

Data Scientist

My Career

Data Scientist at Youboox

Create and deploy the Recommender System for the Youboox application. Using Python, Airflow and BigQuery

Mars 2021 - Now
Data Scientist

Research Engineer at INRIA

Working as a team support and contributing to the Scikit-Learn library. Implementing algorithms to handle missing values and writing tutorials on machine learning.

Aug. 2019 - Dec. 2020
Research Engineer

PostDoc at Nara / Japan

Neural network for text documents embedding

Jan. 2018 - Jun. 2018
Post Doc

PhD at Paris-Saclay / INRIA

Recommender System coupled with Natural Language Processing and Deep Learning. My Ph.D. title is Collaborative Matching of Job Openings and Job Seekers. During my Ph.D. I learned an ad hoc text representation which take into account the collaborative filtering information to improves recommendation for cold start problem. The main model was a Siamese Neural Network trained on hundreds of thousands text documents, improving the content based-recommendation.

Sept. 2014 - Dec. 2017
PhD Student

Master 2 - Mathematics for Life Sciences

Master degree at University Paris-Sud XI. Received Researcher Excellence Grant from Hadamard Foundation for 10k€

Sept. 2013 - Jun. 2014
Master 2 - Mathematics for Life Science

Agrégation de Mathématiques

National competitive examination for teaching mathematics in high-school.

Sept. 2012 - Jun. 2013
Agrégation de Mathématiques

My Skills

My Projects