Predictive Revenue Engine & Shark Detector | Recovering Unattributed Luxury Segment Income via Algorithmic Lead Scoring (Random Forest) and LTV Regression. Built with BigQuery, Parquet, and Streamlit.

A system dynamics engine that models compounding cohort decay to help users predict future user retention, estimate required marketing or network subsidy costs, and model value extraction across different business models like SaaS, Web3 networks, and autonomous AI economies.

An end-to-end data science pipeline that measures ad campaign effectiveness via statistical A/B testing and predicts Customer Lifetime Value (LTV) using probabilistic machine learning.