Rachad Nasr

Data Scientist @Capgemini Engineering

Paris, FR

Optimization and Acceleration of Bioproduction Processes through Advanced Data Science and Machine LearningMethodology:Integrating knowledge from data science and life sciences to address challenges in bioproduction- Machine Learning: Applied Gaussian Processes, Bayesian Optimization, Reinforcement Learning, and Symbolic Regression for predictive modeling and decision-making-Modeling and Simulation: worked on parameterized metabolic network models to simulate and refine bioproduction workflows- Data Analysis: Conducted exploratory data analysis, clustering (e.g, UMAP), and feature extraction to identify critical insights- Visualization & Reporting: Created comprehensive visualizations and HTML-based reports to ensure clarity in presenting results- Collaboration & Communication: Worked with cross-functional teams in academia and industry.Communicated complex technical insights through impactful visualizations and presentations.

Ironhack

Data analyst, Data

Université Claude Bernard Lyon 1

PhD, Molecular Biochemistry

Université Claude Bernard Lyon 1

Master's degree, Biochemistry

University of Montpellier

Bachelor's degree, Biology/Biological Sciences, General