Hi 🤗, this is my homepage of an autodidact who's deeply passionate about probabilistic machine learning and forecasting.
- Real-world applications: Demand/Sales Forecasting, Business Problems (Credit Scoring, Customer Retention, Portfolio Optimization, Inventory Optimization).
- Machine learning methodologies: Time Series Forecasting, Bayesian Inference (Approximate Inference), Probabilistic/Statistical Machine Learning.
- Algorithm for optimizations: CVXOPT, CVXPY, GUROBI.
- Programming languages:
,
.
- Machine learning (Deep learning) frameworks:
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, (a little bit Tensorflow and Tensorflow Probability).
- Visualization Libraries:
, ggplot2.
- Editors:
,
.
- Database:
