A deep, plain-English overview of our services so any reader—founder, marketer, or small-business owner—can quickly understand what we do, how we do it, and what to expect. Share it, fork it, or use it as your internal playbook.

This repository contains a collection of SQL scripts demonstrating various analytical techniques, such as changes over time, cummulative, performance, data segmentation, part-to-whole analysis.

Excel dashboard analyzing EV adoption trends in the U.S., covering BEV vs PHEV distribution, CAFV eligibility, state-wise insights, and brand performance using real-world data.

End-to-end Retail Business Intelligence project using SQL, Python, and Power BI to analyze sales, customers, product performance, payment methods, and delivery insights.

AI-powered stock analysis platform that merges technical signals, ML predictions, risk modeling, and real-time sentiment into a unified, explainable trading score.

Power BI dashboard analyzing insurance data including customer demographics, claim trends, and policy performance insights.

Interactive Excel Sales Dashboard with KPIs, slicers, charts, and maps for analyzing business performance.

Data analytics project for the DIO Creative Challenge. Applying GenAI and advanced prompt engineering techniques to extract strategic insights, mitigate churn risks, and optimize customer experience in the financial sector.

Interactive Healthcare Analytics Dashboard developed using Microsoft Power BI

Interactive Power BI Sales Analytics Dashboard using DAX, Data Modeling, Drill Through and Advanced Visualizations.

Sales analysis project for Ferns and Petals (FNP) — uncovering gifting trends, top products, and customer behaviour using Excel

Full-stack customer analytics platform built with React, FastAPI, and data-driven churn prediction, segmentation, and retention insights from CSV datasets.

Interactive Power BI dashboard analyzing Blinkit sales with filters, category insights, and outlet performance trends.

Exploratory data analysis and business insights using Excel and Python. Includes data cleaning, pivot tables, and visualizations.