I'm a B.Tech Electronics and Computer Engineering student focused on Data Analytics and Business Intelligence.
I enjoy transforming raw datasets into meaningful business insights through data cleaning, SQL analysis, cloud data warehousing, and interactive dashboards.
- SQL: Joins, CTEs, Subqueries, Window Functions, Aggregations
- Python: Pandas, NumPy, Data Cleaning, Exploratory Data Analysis
- Power BI: Data Visualization, Interactive Dashboards, KPI Reporting
- Excel: PivotTables, Power Query, Lookup Functions, Data Analysis
- Snowflake: Data Warehousing, Data Loading, SQL Views, Analytical Queries
End-to-end data analytics project analyzing 180,519 supply chain transaction records using Python, Snowflake, SQL, Power BI, and Excel.
Project Workflow
Raw Data → Python Cleaning → Snowflake → SQL Analysis → Power BI → Business Insights
Key Areas Analyzed
- Sales & Profitability
- Customer & Market Performance
- Supply Chain & Delivery Performance
- Late Delivery & Shipping Analysis
- Strategic Business Insights
- Airline Satisfaction Analysis — Power BI analysis of 104K+ passenger records
- Olympics Analytics Dashboard — Analysis of 269K+ athlete records
- Employee Performance Analysis — Python & Pandas data analysis
- E-Commerce SQL Business Case Study — SQL-based business analysis
- SQL Business Case Studies — Collection of practical SQL analysis projects
- Advanced SQL for Data Analytics
- Python/Pandas for Data Analysis
- Snowflake Cloud Data Warehousing
- Business-focused dashboard development
- GitHub: EmmanuelThomas2004
- LinkedIn: Emmanuel Thomas
Open to entry-level Data Analyst and Business Analyst opportunities.