Welcome to my data analysis portfolio! This repository showcases my projects in data analytics, demonstrating proficiency in SQL, Python, Power BI, and Tableau. Each project displays different aspects of data manipulation, analysis, and visualization techniques.
- Tools Used: Power BI, SQL, Python
- Dataset: Stack Overflow Survey Data (18,845 responses)
- Key Findings:
- Analyzed workforce demographics across 100+ countries
- Identified 20% gap in job satisfaction across industries
- Automated cleaning of 15,000+ entries
- Tools Used: Power BI, SQL
- Dataset: 10,000+ credit card records
- Key Findings:
- Analyzed spending patterns across 5 key demographics
- Reduced manual analysis time by 40%
- Enhanced user engagement by 30%
- Tools Used: Power BI, SQL, Python
- Dataset: Multi-regional sales data ($2.41B revenue)
- Key Findings:
- Tracked performance across 8 regions
- Analyzed online ($984M) vs offline ($1.42B) channels
- Identified top revenue drivers: Cosmetics ($724M) and Office Supplies ($531M)
- Tools Used: Power BI, SQL
- Dataset: 21K orders ($817.86K revenue)
- Key Findings:
- Engineered 12+ SQL queries for trend analysis
- Tracked KPIs including average order value ($38.31)
- Analyzed category performance (29.02% Classic dominance)
- Programming: Python (Pandas, NumPy, Matplotlib, Seaborn)
- Database: SQL (5★ HackerRank)
- Visualization: Power BI, Tableau
- Data Analysis: Excel, Statistical Analysis
- Version Control: Git
- Masters of Computer Application (CGPA: 8.4) - TECHNO INDIA UNIVERSITY
- Data Analytics Essentials - Cisco Networking Academy
- TATA Data Visualization: Empowering Business with Insights
- Goldman Sachs: Excel Skills for Business
This repository is regularly updated with new projects and analyses. Stay tuned for:
- Time series analysis projects
- Machine learning implementations
- Industry-specific case studies
Feel free to reach out for collaborations or questions about any projects!