Predictive Modeling & Econometrics: Advanced Machine Learning algorithms, time series forecasting (ARIMA, Prophet, XGBoost, hybrid models and others), econometric analysis, and statistical simulations (Monte Carlo).
Supply Chain & Operations Analytics: Demand forecasting, inventory optimization, safety stock modeling, and automated diagnostic tools. (been working with this for some years now)
Interactive Data Apps & Dashboards: Tailored web applications (Python Shiny, Streamlit, Dash) that turn complex statistical models into decision-making tools.
Automation & Pipeline Engineering: Scalable data pipelines, automated reporting, data processing, and containerized script deployment. (usually on databricks, but could be also on docker and local machines if needed.
Methodological Rigor + Scalable Code: I combine strong academic/statistical foundations (currently taking my doctors degree) with clean, production-ready programming.
Lately i have been working with conformal prediction for time series analysis, and concerning my doctors degree, my research is on SVM for probability density functions.