Python · pandas · scikit-learn · PyTorch
Time-series forecasting (Prophet, SARIMA, gradient boosting) · causal inference and A/B testing · customer segmentation and LTV · evaluation on imbalanced data · MLflow.
Grouped by how I use them, not alphabetically.
Time-series forecasting (Prophet, SARIMA, gradient boosting) · causal inference and A/B testing · customer segmentation and LTV · evaluation on imbalanced data · MLflow.
Window functions and CTEs · Google Ads · attribution modelling · CRO.
Retrieval pipelines, vector databases, LLM-to-SQL, prompt design.
Railway, Vercel, Git and CI · Java, C++ · Django and Flask.
UX writing, responsive design, design-in-browser.