Development of a complete pipeline for extracting tabular data from scanned bank documents using computer vision and OCR.

– Developed a recommender system within the R&D initiatives of the Global Market Division(GMD) aimed at recommending bonds to investors using Neural Matrix Factorization (NeuMF) and a transformers based model – Utilized interaction history data from both primary and secondary markets to enhance

Evaluation and improvement of a deep reinforcement learning modelfor the planning of condition-based maintenance operations in alarge-scale industrial system

•Optimized acoustic wave propagation code via parallel computing toachieve significant performance improvements.• Validated optimization strategy through experiments, demonstratingenhanced computational efficiency and accuracy

• Observation of a Data Center Administrator• Proper implementation, racking and servicing of the equipment in theData Center

• Prototyping system to store, treat, optimize and distribute irrigationwater• Optimization of distributed water using a mathematical modelreinforced by a Machine Learning model