Lead-scoring analysis with ranking metrics, precision-recall tradeoffs, and conversion modeling.
This project predicts Customer Lifetime Value (CLV) for e-commerce. It aims at forecasting the revenue a business can expect from a customer over time. I did an explatory analysis. From Linear Regression to Neural Networks, explore how different models perform in predicting CLV.
This repository contains a project that analyzes the impact of media advertising 📺📻📰 on sales 💸 using SQL for data processing and Tableau for interactive dashboards 📊. The dashboard visualizes how advertising spend influences sales and helps optimize marketing ROI 📈.
A/B testing case study using real GA4 data from Google Merchandise Store via BigQuery. Tests CTA button copy across 3 variants — chi-square + Bayesian analysis in Google Colab. Variant B achieved +18.4% CVR uplift at 96.9% confidence.
Budget-constrained retention targeting for a telco churn case: calibrated churn risk, honest uplift bounds on an observational discount flag, exact knapsack across save-rate scenarios, a learn-while-earning control, and a governed pipeline with a critic.
This project examines cart abandonment trends at MagicMade e- commerce , identifying revenue loss, customer behavior, and optimization strategies. It includes key insights, data visualizations, and recommendations to improve checkout experience and boost conversions.
Efficient Frontier — independent third-party profile of a public API surface, by API Evangelist. Efficient Frontier was a digital advertising optimization and search marketing company founded in 2002 that applied algorithmic, finance-inspired bid optimization to manage over $1 billion in annual marketing spend across search, display, and social (no
Next-best-action orchestration across versioned CLV, churn, purchase-readiness, uplift, and economics inputs, with budget and channel constraints.
Percolata — independent third-party profile of a public API surface, by API Evangelist. Percolata is a Palo Alto, California predictive-analytics company that applies machine learning to help retailers optimize labor scheduling and marketing spend. Its platform forecasts hourly sales, in-store traffic, and takeout demand to drive staffing optimizat
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