Data Scientist | ML & DL Research & Solutions
Focused on Machine Learning and Deep Learning, bridging research and practical solutions to solve complex problems.
Combinatorial Optimization & Metaheuristics. Implemented three algorithmic approaches to solve the NP-hard 2D Strip Packing problem: Exhaustive Search, Greedy Algorithm, and Genetic Algorithm.
End-to-end data warehouse solution for aviation performance analysis. Designed a star schema optimized for OLAP queries, achieving 40-50x query speedup. Implemented rigorous data quality controls.
Binary Classification & Healthcare Analytics. Developed supervised learning models to classify liver disease patients. Mitigated class imbalance using weighted ensembles and optimized for F1-score.
Geospatial Analysis & Algorithms. Developed a route generation engine combining GPS trajectory analysis with graph theory. Identifies optimal paths to medieval monuments across Catalonia.