R-Analysis: Identifying high value customers and low value of customers using RFM modelling

YouTube Shorts & TikTok Trends 2025 — EDA tutorial: creators/hashtags insights, platform & country breakdowns, Pareto effect, and trend lifecycle patterns.

Analyse the customer purchase behaviour to optimize inventory cost

PostgreSQL retail revenue and customer analytics using CTEs, window functions, and Pareto analysis

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

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

The primary objective of this project was to conduct a break-even analysis for the product's first year. The business team needed to understand at what point the product would begin generating profits after covering all associated costs.

Customer profitability and segmentation analysis using Python, SQL and Power BI, identifying high value customers and revenue concentration using Pareto analysis.

Customer segmentation using abc analysis.

Multi-branch retail analytics dashboard built with SQL (Star Schema) and Power BI — inventory rotation, Pareto analysis, branch performance and KPI tracking.

"An operational dashboard designed to track production efficiency, analyze repeat fail rates, and identify bottlenecks in repair processes using Pareto analysis."

Análise exploratória de estoque com SQL usando o banco de dados Northwind.

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.

This project aims to help Meesho identify and prioritize the key reasons behind customer complaints using Pareto analysis. By focusing on the top complaint categories contributing to the majority of issues, Meesho can take targeted actions to improve customer satisfaction and optimize operations.

Python sales decline analysis uncovering volume loss drivers across customers, products, markets, and regions.

Salary analysis of all active, permanent employees of Montgomery County, MD paid in 2023. Descriprive Statystics, Histogram, Pareto analysis, Correlation and more.

An end-to-end Business Intelligence solution featuring a high-performance Power BI dashboard. Integrates PostgreSQL data modeling with advanced DAX measures to analyze global e-commerce sales, logistics, and profitability. Includes YTD tracking, Pareto (80/20) analysis, and interactive UX for strategic decision-making.

Beginner Certification Project – Olist E-Commerce Analysis with RFM, Pareto, and customer segmentation