Asia Lebot

• • Development and evaluation of AI models (ML and Deep Learning) for predicting the risk of cardiovascular pathologies from behavioral and lifestyle data (diet, physical activity, consumption, sleep, BMI, etc.).

• • Backend design (Python, FastAPI): web services and APIs for data exploitation; implementation of the complete pipeline (pre-processing, Random Forest/XGBoost training, post-processing, evaluation).

• • Contribution to Explainable AI (XAI) work: integration of counterfactual methods (DiCE) and ICE visualizations to interpret predictions.

• • Results visualization (Matplotlib, Seaborn); participation in the writing of technical documentation and scientific manuscripts.

Seasonal positions over three consecutive summers: autonomy, reliability, teamwork in an industrial environment.

Leading and supervising a group of children: sense of responsibility, group management, adaptability.