About
Data Analyst proficient in SQL, Excel, Power BI, and Python, with hands-on analysis of 84,500+ employee records and e-commerce orders across two projects. Skilled in transforming raw data into actionable insights through data cleaning, KPI analysis, business reporting, and interactive dashboards.
Projects3
E-Commerce Sales Analysis
Analyzed 34,500 orders to evaluate revenue, profitability, product performance, and sales trends. Developed an interactive Power BI dashboard to track revenue, profit, average order value, and returns.
Open on github- Python
- SQL
- Power BI
HR Employee Analytics
Analyzed 50,000 synthetic employee records covering attrition, compensation, performance, and engagement. Built an executive dashboard featuring 10 KPI cards and 15 charts for HR reporting.
Open on github- Microsoft Excel
SQL Sales Analysis
Queried relational sales data using JOINs, CTEs, subqueries, and window functions. Developed SQL queries for revenue analysis, business reporting, and performance comparisons.
Open on github- MySQL
Education1
Bachelor of Engineering
2022 — 2026East Point College of Engineering & Technology
Computer Science
Certifications3
Virtual Internship (Job Simulation)
Deloitte Australia
AI Fluency
Anthropic
Innovative Solution Design (Hackathon)
Reserve Bank Innovation Hub