buisness-analysis

SQL analysis of the Netflix dataset using PostgreSQL to solve real-world business questions.

A comprehensive SQL-based customer churn analysis project using MySQL. This project explores customer behavior, identifies churn patterns, calculates revenue loss, and provides actionable business insights through real-world SQL queries.

SQL-based E-Commerce Sales Analytics project analyzing sales, customers, and business performance.

Turnover AI provides indicative company turnover estimates using publicly available signals and data-driven inferences., serving as a starting point for financial evaluation of a company.

PostgreSQL analysis of retail inventory data to evaluate product pricing, discounts, stock availability, estimated revenue, product value, and inventory distribution.

This is a retail analysis dashboard on Power BI built with a star schema data model to analyze sales, products, shipping performance, and other necessary statistics

End-to-end SQL analytics on 500K+ e-commerce transactions using CTEs, Window Functions, and advanced aggregations

End-to-end Pizza Sales Analysis project using SQL and Power BI, featuring KPI reporting, interactive dashboards, and actionable business insights.

Gene Therapy Pipeline Tracker using Excel, SQL, Power BI, PowerPoint, Figma, BRD and FRD documentation.

Deloitte data analytics virtual experience

This project focuses on analyzing enterprise operational, financial, and risk-related data to generate meaningful business insights. The dataset was cleaned, processed, and analyzed using Python, Pandas, and data visualization techniques. Exploratory Data Analysis (EDA) was performed to identify operational trends, financial performance, and potent

SQL analysis of 1M+ Amazon transactions - CTEs, window functions, business insights

Recruitment funnel analysis using SQL & Power BI — identifying hiring inefficiencies across 300 candidates, 6 departments and 6 sourcing channels.

AI-powered Sales Analytics Dashboard built with Streamlit, Plotly, Pandas and Groq LLM.

Interactive HR Attrition & Workforce Analytics Dashboard built using Power BI, Power Query, DAX.

Power BI dashboard analyzing loan approvals, applicant profiles, rejection patterns, and credit risk insights.

A complete MySQL Data Analytics project demonstrating SQL fundamentals, business analysis, EDA, CTEs, Joins, Views, and Window Functions.

Customer Churn Analysis project using Python to analyze 7,043 telecom customers, uncover key churn patterns across tenure, contracts, services, payment methods and demographics, identify high-risk customer segments, and provide data-driven recommendations to improve customer retention.