Robust data-driven control for nonlinear systems using imperfect digital twins and LMI-based quadratic funnel certificates.

Country & customer analytics on UCI Online Retail 2011 — cohort, R×F, LTV dashboards (Python + Tableau).

Cohort CAC/LTV model for GTM analytics. DuckDB SQL executed from Python. Exports Excel + PNG for decision-ready unit economics.

An analytics project that combines Google Ads + Meta Ads data and translates it into finance metrics.

SQL + Python проект анализа LTV, churn и поведения клиентов финтех-сервиса.

Data Analytics, PnL, LTV & retention analysis with Django

Caso de Marketing — cohortes, LTV y retención con Python + SQL (modelo analítico y KPIs).

Brand-agnostic prestige fragrance GTM toolkit—LTV on gross margin, CAC payback, promo economics, Prestige Protection Index, Markdown/HTML reports + Flask preview.

Shutterfly Python LTV

End-to-end ecommerce funnel, retention, LTV & revenue optimization analysis using DuckDB, SQL & Python (66M+ events)

Analyze user retention from raw event data. Cohort tables, churn curves, and LTV projections in Python.

"AscentPAY" product analytics case study for a fintech digital wallet analyzing activation, retention, LTV, CAC payback, and revenue concentration using SQL, Python, and Tableau.

GMD is a lightweight SaaS metrics dashboard that gives founders instant clarity on their business performance. Track MRR, ARR, churn, CAC, LTV, and more through automated data ingestion, Stripe integration, and CSV uploads in an all in one clean, easy-to-use interface.

🧴 Calculate LTV, promo economics, and more with Prestige Fragrance GTM, a versatile toolkit for prestige fragrance analysis and reporting.