R-Analysis: Identifying high value customers and low value of customers using RFM modelling
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Updated
Jun 11, 2020 - Jupyter Notebook
R-Analysis: Identifying high value customers and low value of customers using RFM modelling
An interactive Excel dashboard analysing sales performance across stores, warehouses, and time periods using transactional sales data.
Built a SaaS analytics project using SQL and Python where I reconstructed customer lifecycle from snapshot data and analyzed key metrics like MRR, churn, cohort retention, ARPU, and LTV. I found that revenue growth was driven by customer acquisition rather than pricing, as ARPU declined over time while MRR increased
Analyse the customer purchase behaviour to optimize inventory cost
End-to-end SQL project analyzing e-commerce sales, product performance, and customer behavior
Analyzing Fater company's diaper market potential and enhancing revenue estimation for Naples stores: A Socio-Demographic, Territorial, and Points of Interest Perspective
Data-driven analysis and recommendations for optimizing sales, inventory, and customer experience at 99 Market Mall using business data management techniques.
PostgreSQL retail revenue and customer analytics using CTEs, window functions, and Pareto analysis
Simulation of wealth distribution among a population via kinetic exchange models
This project delivers an end-to-end procurement spend and performance analysis dashboard built in Power BI to support data-driven decision-making for finance, procurement, and senior leadership teams. The dashboard integrates budget and order data to provide a single, reliable view of spend performance and supplier risk.
Aviation MRO audit analytics dashboard with executive reporting, Pareto analysis, automated data validation, and Word/Excel management reports.
A comprehensive SQL analytics project solving real-world e-commerce business problems. Covers advanced concepts like cohort analysis, Pareto (80/20) revenue distribution, anomaly detection, and inventory optimization using SQL (CTEs, window functions, subqueries). Focused on deriving actionable business insights from structured datasets.
Statistical analysis project utilizing ANOVA and Pareto analysis techniques to identify manufacturing defect trends and support quality improvement initiatives.
YouTube Shorts & TikTok Trends 2025 — EDA tutorial: creators/hashtags insights, platform & country breakdowns, Pareto effect, and trend lifecycle patterns.
The primary objective is to identify high-value customers, improve customer retention, and support data-driven marketing decisions.
End-to-End data analytics project diagnosing logistics bottlenecks, delivery delays, and customer experience friction in the Brazilian E-Commerce sector using Python, Pandas, and Plotly.
Reproducible manufacturing OEE and production-loss diagnostic dashboard using Python, Streamlit, SQLite, Pareto analysis, and deterministic engineering insights.
Python implementation of Simulated Annealing for VLSI floorplanning using Normalized Polish Expression, slicing floorplans, cooling-rate experiments, and Matplotlib visualizations.
🧹 Advanced academic Linux system optimization tool — Bloom filter dedup, Shannon entropy, linear regression, Pareto analysis, 18 modules, multi-language
An end-to-end Pareto (80/20) analysis solution. Features robust data cleaning of messy CSVs using Power Query (M) and a fully dynamic ranking engine using advanced DAX parameters.
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