Side-quests.

Two-part Streamlit project on Maricopa County, Arizona residential property sales using public Assessor data. An interactive dashboard for exploration, plus an end-to-end ML pipeline that predicts sale price (Random Forest: 0.846 R², 13.14% MAPE on 91k test set).

The same handwritten-digit classifier built four ways, from sklearn logistic regression (92%) through a NumPy from-scratch neural net (97%) to a PyTorch CNN (99%+). Deployed as a Streamlit 'draw a digit' demo.

Multi-threaded TCP port scanner and service fingerprinter, written in pure Python with no third-party dependencies. A hand-built alternative to nmap -sT -sV, built to understand what a port scanner actually does under the hood.