Thomas Dias Alves

Senior Data Scientist at HP

Deploy worldwide models to optimize pricing for printers. Establish best practices for Data Science in a growing data team.

Data Scientist at HP

Create data pipelines and ML models for European ‘Sales and Channel’ teams: estimate sales quota, predict inventory, opportunity optimization for call centers and product recommendation.

Ph.D. in Machine Learning for Medicine with TIMC and INRIA

Design and implement algorithm of local clustering available in Python and R (GitHub)

Teaching Assistant at ENSIMAG

Teacher at ENSIMAG for three years: Algorithmic, Numerical Methods, Language C.

Internship at Microsoft

Build a deduplication pipeline in Microsoft’s Big Data analysis platform (COSMOS) with NLP.

Internship at FLORALIS

Estimate of breast cancer overdiagnosis using simulations and Bayesian methods.

MS in Computer Science ENSIMAG

School of Computer Science and Applied Mathematics. Mathematical modeling, Image and Simulation.

Preparatory classes: a two-year undergraduate intensive course in mathematics and physics. (Rouen, France)

MPSI - MP*