A modern relational spreadsheet 🌈

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

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

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.

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.

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.

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

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

Analysis of dog racing data to improve team performance

A Sales Dashboard using Microsoft PowerBi.

Northwind Traders Sales Analysis project, which analyses sales data for a fictitious company. It utilises the Northwind Database and includes SQL queries to provide insights on employees, products, suppliers and revenue. The project aims to help the company gain valuable information for business decision-making.

Practice Data Visualization and create Business Dashboard with Tableau, provide business insights by working on Airbnb data in Japan.

An interactive Tableau dashboard that provides insights into various key performance indicators (KPIs) and allows users to filter the data based on different dimensions.

🚀 Complete e-commerce sales data analysis project demonstrating business intelligence skills with Python, Pandas, Matplotlib, and Seaborn. Includes customer segmentation, revenue analysis, and actionable business insights.

The project explores the career aspirations and workplace expectations of Gen Z to uncover what drives their employment choices, value alignment, and need for growth, guidance, and recognition.

An interactive Excel dashboard project for coffee sales analysis, showcasing end-to-end data cleaning, transformation, and visualisation using pivot charts and slicers for insightful business decision-making.

Completed Tata iQ’s GenAI-Powered Data Analytics Virtual Experience Program — focused on EDA, predictive modeling, stakeholder communication, and AI-driven automation using GenAI tools.

🪔 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.

An end-to-end data science project in R identifying key drivers of customer churn. Delivers actionable business insights from EDA and predictive models (Logistic Regression, Random Forest) with ~81% accuracy.