busineess-intelligence

End-to-end Customer Churn Intelligence system using Python, Machine Learning, and Power BI. Includes data cleaning, statistical analysis, feature engineering, risk-based customer segmentation, predictive modeling (Logistic Regression, Random Forest, XGBoost), and dashboard-ready analytics for proactive retention strategies.

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.

End-to-end Business Intelligence analysis of the Olist Brazilian E-Commerce dataset using Python, covering data cleaning, feature engineering, exploratory data analysis (EDA), KPI analysis, and actionable business insights.

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.

End-to-end UPI operational intelligence platform using Python, PostgreSQL, Docker, Power BI DirectQuery and Isolation Forest.

Interactive Tableau dashboard analyzing Netflix content distribution, genre trends, country-wise content, and release patterns through data visualization.

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

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.

Interactive Healthcare Analytics Dashboard developed using Microsoft Power BI

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

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.

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

Interactive Power BI dashboard analyzing UK road accident and casualty data — tracking trends by vehicle type, road type, weather, and location to support data-driven road safety decisions.

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

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

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

End-to-end cloud analytics project using AWS S3, Snowflake, SQL, Power BI, and DAX to analyze Amazon product performance, pricing, customer engagement, and category insights.

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

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