Teaching
My teaching philosophy goes beyond traditional instruction. I focus on bridging academia and industry through applied, data-driven projects. This approach is now evolving into a broader Talent Foundry initiative aimed at aligning advanced quantitative education with the realities of today’s job market.
Business school Courses Taught
Machine Learning & AI for Finance and Marketing
MSc-level course taught in English for finance and marketing students, combining theory and project-based applications using Python, scikit-learn, XGBoost, and transformers.
Data Analysis & Visualization
Course focused on Python, SQL, descriptive statistics, exploratory analysis, and business-oriented data storytelling.
Financial Modeling & Risk Management
Course covering valuation, scenario analysis, stress testing, and Value-at-Risk.
Applied SQL for Finance and Marketing
Course covering analytical queries, KPIs, joins, subqueries, and CTEs using SQLite and BigQuery.
Previous University Teaching (Engineering School)
Statistical and Mathematical tools, Differential Equations, Stochastic Calculus, and Optimization.