A modern relational spreadsheet 🌈

A Data Questioning Tool that tells you the what and the why

From Power BI to Microsoft Fabric 🤔 Introducing Power BI Adoption Framework 🌱

Analyzed sales data to uncover trends, forecast future sales using time series models, and visualize key insights for better inventory and sales management. Utilized Python for data processing, EDA, and visualization.

Backend API + algorithm built for surfacing actionable insights for a small business given a network of other similar small businesses

End-to-end Netflix Data Analysis using Python, Pandas, NumPy, Matplotlib, and Seaborn featuring data cleaning, exploratory data analysis (EDA), business insights, and an interactive dashboard.

End-to-end Flipkart analytics project with Excel cleaning, SQL modeling, and Power BI dashboard. Delivers insights on products, discounts, sellers, and stock.

Pipeline-Genie is an intelligent data pipeline that processes CSV datasets, identifies their schema, and leverages LLaMA 2.0 to extract business insights. Users can select relevant business needs, triggering automated ETL transformations using Apache Spark. The final transformed dataset is stored in AWS S3 and made available for download.

This project involves analyzing AdventureWorks bike sales data to uncover key insights into sales performance by country, customer segments, and products. The findings informed strategies for targeted marketing, market expansion, promotional timing, and product quality improvements.

End-to-end E-Commerce Sales Analysis using Python, Pandas, NumPy, Matplotlib, and Seaborn featuring data cleaning, exploratory data analysis (EDA), and business insights.

Retail transaction analysis using MySQL to uncover customer behavior, product performance, returns impact, and VIP customer segmentation from real-world IKEA sales data.

Exploratory Data Analysis & Modeling to predict whether the shipping deliveries will be received late or on-time by the customers

Analysis of dog racing data to improve team performance

A Sales Dashboard using Microsoft PowerBi.

The Restaurant Sales Analysis project from Maven Analytics is a guided Project which focuses on analyzing transactional data from a restaurant to uncover insights about sales performance, customer behavior, and product trends with EDA

🪔 Diwali Sales Analysis using Python — uncovering customer insights through data cleaning, EDA, and visualization with Pandas, Matplotlib, and Seaborn.

A comprehensive SQL project analyzing sales performance with advanced techniques like CTEs, window functions, and views. Explore insights into customers, products, and sales trends.

End-to-end Power BI data analysis project for an EdTech startup, focusing on KPI tracking, revenue insights, and business intelligence dashboarding.

Customer and product segmentation analysis using descriptive statistics, probability and exploratory data analysis to identify purchase behavior and marketing opportunities.

An interactive sales dashboard developed using Power BI / Tableau to analyze key business metrics, identify trends, and support data-driven decision-making.