retention-analytics

Self-hosted, open-source mobile app analytics & ASO dashboard for Google Play Store and Apple App Store.

Next-generation analytics & ML-powered churn prediction for Solana gaming. Self-training models predict player churn 14 days in advance. Live dashboard + REST API analyzing 60M+ on-chain transactions across 12 games.

A customer intelligence engine that predicts subscription probability, models purchase frequency, and computes a unified loyalty risk score. Includes explainability, segment insights, and a scenario simulator, all integrated into an interactive Streamlit dashboard.

A deep exploration of loyalty as a multi-dimensional behavioral system shaped by intent, habit, and sensitivity. This article introduces a geometric framework for modeling customer behavior, predicting churn trajectories, and designing ML systems that understand loyalty as a dynamic state, not a metric.

🔒 Proprietary AI Recruitment Suite by Shakeel Qureshi | Automates: sourcing → engagement → screening → retention using LLM/NLP (spaCy, custom models) | TalentSync™, EngageIQ™, FitScore™, TalentRisk™ | Contact: shakeel.techrecruiter@gmail.com

End-to-end data science project predicting SME credit card churn using statistical testing, ML, and causal inference. Identifies $2.5M+ revenue at risk with interactive Tableau dashboard and 16 SQL queries.

Customer value intelligence and retention analytics platform with CLV prediction, RFM segmentation, monitoring, reporting, and executive dashboards.

End-to-end SaaS churn analysis project with SQL preparation, EDA, feature engineering, modeling assessment, and Power BI dashboards.

End-to-end Data Analyst project using SQL, Python, and Power BI to analyze the Olist e-commerce dataset across sales, geography, category performance, delivery, customer segmentation, cohort retention, and cross-sell opportunities.

Your database, VM platform or application knows how to create its backup.　　　　　　　　　　　　　retnd knows how to get that backup safely off the machine before it fills the disk.

Clean-room synthetic retention-intervention learning loop for financial-services analytics, including ML prioritisation, treatment logging, governance checks, and visual reporting.

AI-powered customer intelligence and retention analytics using Power BI, predictive churn modeling, FastAPI, and Ollama.

Customer churn prediction and retention analytics project using Python, SQL, Power BI, and Random Forest.

AI-powered customer retention intelligence platform with churn prediction, revenue-at-risk analytics, customer risk scoring, predictive retention workflows, and interactive business intelligence dashboards.

Tarang Goyal’s full-stack Box retention analytics case study and operations workspace

Subscription growth & retention analytics (MRR, NRR, churn, cohorts) with a Power BI-styled dashboard.

Retention intelligence project using App Store reviews to identify churn drivers, benchmark competitors, and build lifecycle marketing strategies.

End-to-end churn ML platform: calibrated XGBoost/LightGBM, CLV-weighted business metrics, decile lift, segment analysis, SHAP drivers, and an interactive campaign ROI simulator. Live Streamlit demo.

End-to-end Customer Segmentation & Retention Analytics Dashboard built with PostgreSQL, SQL, Power BI, and DAX. Features RFM-style customer segmentation, profitability analysis, revenue contribution, and retention insights.

Customer churn, retention and revenue risk analytics project using PostgreSQL, SQL, Power BI and DAX.