
This repository contains full end-to-end analytics project for FlipMart, a retail store dataset. The purpose of this study is to understand category performance, profitability contribution, key KPIs, and generate actionable recommendations for business improvement.

Built a normalized relational database for clinic operations using MySQL and SQL Server. Designed an ERD, created schema, inserted data, and wrote optimized SQL queries to manage patients, staff, and appointments.

Explored global technology trends using a real dataset from IBM’s Data Analyst Capstone. Performed data cleaning, visualization, and analysis in Python, Excel, and Cognos Analytics.

Analyzed global survey data on compensation, satisfaction, and tool usage among data professionals. Cleaned data using Power Bl Query Editor and built interactive dashboards with bar charts, pie charts, and gauge visuals.

Cleaned and transformed datasets with Pandas, scraped web data using BeautifulSoup. and visualized insights with Matplotlib and Seaborn. Projects include EDA, automation scripts, and a customer behavior analysis.

Analyzed customer purchasing patterns using Excel. Performed data cleaning, used Pivot Tables and advanced formulas, and built an interactive dashboard to visualize trends and insights.

