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

Data Analytics, PnL, LTV & retention analysis with Django

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.

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

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

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

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

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

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.

AI-native customer retention and LTV engine with WhatsApp orchestration, Vapi voice agents, causal retention analytics, and a Neumorphism dashboard.

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

Shutterfly Python LTV

End-to-end SaaS customer intelligence platform — churn prediction, RFM segmentation, LTV modeling, cohort retention, A/B testing, and 4-tab Streamlit dashboard on 10,000 synthetic users

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

D2C subscription pricing simulator for comparing conversion, retention, LTV, revenue, and CAC payback.

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

Cohort retention and revenue-retention analysis on 1M+ Online Retail II transactions (2009–2011) — measuring repeat-purchase quality by acquisition month across 25 monthly cohorts.