End-to-end retail analytics using SQL and Power BI. Analyzed $2.27M retail revenue using SQL and Power BI to uncover customer behavior, retention patterns, product performance, profitability drivers, and sales trends.

Interactive Tableau dashboard for analyzing Superstore sales, profit trends, top products, customer segments, and regional performance.

Interactive Tableau dashboard for analyzing Superstore sales, profit trends, top products, customer segments, and regional performance.

This repository features the Retail sales and customer insights dashboard demonstrating data cleaning and analysis using Excel, Python, and SQL, along with interactive visualization in Power BI. Explore the code and reports to gain insights into sales performance, customer behavior, and product trends. A complete end-to-end data analytics workflow

Statistical and machine learning analysis of coffee bean prices using R. Includes EDA, ANOVA, and Lasso regression to understand how origin, roast, and ratings influence pricing.

Proyecto de análisis de ventas de tiendas para Alura Latam con Python y visualización de datos.

A basic end-to-end retail data analytics and machine learning project using Python, including data cleaning, visualization, business insights, and quantity prediction

End-to-end Exploratory Data Analysis (EDA) project on Superstore Sales dataset including data cleaning, feature engineering, outlier handling, customer segmentation, and business insights using Python, Pandas, Matplotlib, and Seaborn.

📖Datamart Analysis with Machine Learning [ML] 🤝Shared ⭐R Shiny 🌐App📚Learning ✅Deployed

E-Commerce Sales Analysis

Excel data analysis project: cleaning retail sales data, creating pivot tables, and building an interactive dashboard

Confidence interval comparison for average Apple prices across two cities using Python.

SQL-based retail sales analysis project using MySQL to explore sales trends, customer behavior, and business insights.

Superstore Sales Analysis project using Python, Pandas,Matplotlib, Seaborn, KPI Analysis, EDA, Customer Segmentation, and Business Insights

Power BI Portfolio

This Power BI project explores the story behind retail sales data, transforming numbers into insights. The dashboard reveals key trends in sales performance, revenue growth, and customer demographics, helping decision makers identify profitable channels, boost customer retention, and optimize business growth.

An End-to-End Data Analytics project demonstrating data cleaning, SQL analysis, KPI development, and interactive Power BI dashboard creation.

Interactive Store Sales Analysis Dashboard built using Power BI to analyze sales performance, profit trends, category insights, and regional distribution for data-driven business decisions.

A SQL-based deep dive into Zepto's retail data to optimize inventory, pricing strategies, and revenue forecasting.

This project explores retail chain performance in New Zealand by combining sales forecasting, regional sales analysis, and supply chain insights. Using real data and Python (including Prophet for forecasting), it uncovers patterns and helps identify areas for improvement in inventory and operations.