Data Analytics, PnL, LTV & retention analysis with Django
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Updated
Apr 14, 2022 - Python
Data Analytics, PnL, LTV & retention analysis with Django
🧴 Calculate LTV, promo economics, and more with Prestige Fragrance GTM, a versatile toolkit for prestige fragrance analysis and reporting.
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.
Country & customer analytics on UCI Online Retail 2011 — cohort, R×F, LTV dashboards (Python + Tableau).
SQL + Python проект анализа LTV, churn и поведения клиентов финтех-сервиса.
Robust data-driven control for nonlinear systems using imperfect digital twins and LMI-based quadratic funnel certificates.
An analytics project that combines Google Ads + Meta Ads data and translates it into finance metrics.
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.
Caso de Marketing — cohortes, LTV y retención con Python + SQL (modelo analítico y KPIs).
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