This repository contains a Power BI solution for AtliQ hardware, enabling comprehensive analysis of sales trends, informed decision-making, and revenue growth in the brick and mortar business.

3-in-1 Excel dashboard analyzing sales, profit, and revenue dynamics for B&J Biscuit, powered by macros and automated analytics.

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

This project analyzes monthly product performance using a commercial dataset. The goal is to identify missing values, compute average profits, and detect the most stable products in terms of profit across months.

This project demonstrates a complete workflow for analyzing sales data with missing values. It includes data cleaning, feature engineering, aggregation, and visualizations using Python libraries such as Pandas, NumPy, and Matplotlib.

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

Supermarket Management System Project

Serverless Amazon product research automation system using AWS Step Functions and Lambda. Automated profit analysis pipeline processing competitor pricing, sales history, and market data to identify profitable opportunities.

A comprehensive data modeling and analysis project for the 🌍Global Super Store, focusing on database design 🗃️, sales data analysis 📊, and interactive visualizations 📍 using MySQL 🖥️ and Tableau 📈.

Bandhan Kirana: A robust platform to simplify and decentralize the onboarding process for Kirana Stores of Tier 2, 3 ,4 cities, through a self-onboarding platform. It aims to digitize the business of Kirana Store owners of the smaller towns and provide them with a platform to expand their business digitally, in partnership with ONDC.

📈 Excel dashboard project analyzing e-commerce sales performance with KPIs, charts, and slicers.

In this project, I have analyzed the data related to a super market using dataset such as customer, sales, profit, product tables by solving 20 analysis questions in PostGreSQL -open source RDBMS tool.

This project investigates customer churn and its impact on profitability. By analyzing factors like tenure, payment methods, and service usage, it builds predictive models to estimate churn probabilities and financial projections of customer lifetime value and revenue impact. The project helps prioritize retention efforts and optimize profit.

This project is an exploratory data analysis EDA of the Superstore dataset, examining sales, profit, customer, and regional patterns. The goal is to gain data-driven insights to support business decisions

This DAX-based eCommerce dashboard provides a real-time snapshot of a business's financial position, aiding FP&A by highlighting key metrics for better decision-making. It handles large datasets from 2019 to 2021, visualizing KPIs like cumulative sales, profitable customers, and profit trends.

Analysing impact of discounts purchase to profits via interactive Tableau story. The visualization displays customer profitability analysis; visualized discount impact on net profit and ranked customers by discount-to-profit ratio & revealing negative ROI patterns.

Power BI dashboard analyzing Superstore sales, profit, and customer behavior from 2014 to 2017. Includes insights on discount impact, product performance, and regional trends.

Performing Profit Simulation using Breakpoint Method and Profit Optimization using Optimise Function in R given the uncertain demands with unknown data for a hypothetical company named GWS.

📊 Developed an interactive Power BI dashboard using Sales Performance dataset to analyze revenue, profit, and order pipeline. Includes KPI cards, sales vs. profit insights, customer and regional performance, and pipeline trends for actionable business intelligence.

Economics in Data Science Final Project Welcome to the repository for my Economics in Data Science final project, where the focus is on generating a profit from 1,000,000$ in various investments, with a specific target on October 2024.