Research
Data science projects
Applied modelling work — the problem, the data, the method, and what the result means. Shorter than the case studies; the point is the reasoning.
NYC taxi fare prediction and commuting patterns
Smart Commute Analytics: EDA, feature engineering and three model families on NYC TLC trip data — and why the best-scoring model was the one to distrust.
Human activity recognition from smartphone inertial sensors
Classifying six daily activities from waist-mounted accelerometer and gyroscope signals — five classical models under grid search, a deep-learning pass, and what the subject split teaches about validation.
Small language models: where they earn a place in an agentic stack
A working note on sub-10B models in 2026 — what they do well, where they break, and the three places in my own products where one would change the economics.