About
Data & Business Analyst aspiring professional with hands-on expertise in Python, SQL, and Advanced Excel, and a strong foundation in data analysis, documentation, and stakeholder collaboration. Experienced in requirements-driven data cleaning, exploratory data analysis (EDA), dashboard development, and KPI reporting through academic projects and internship work.
Projects2
E-commerce Return & Refund Analytics Dashboard
Developed an interactive dashboard analyzing 10,000+ e-commerce orders, returns, and refunds, translating business requirements into a reporting solution design. Built 12+ business KPIs, including Return Rate, Refund Amount, Average Refund Time, Customer Return Rate, and Category Performance. Cleaned and transformed raw datasets using SQL and Power Query to improve reporting accuracy and documented the data pipeline for repeatability. Analyzed customer behaviour, product categories, payment methods, and regional return trends to identify key return drivers and support stakeholder decision-making.
- Power BI
- SQL
- Excel
Sales Performance Dashboard
Designed an executive dashboard to monitor sales performance across regions, products, and customer segments, aligning outputs with business stakeholder requirements. Created KPI cards for Revenue, Profit, Sales Growth, Customer Retention, and Product Performance. Performed data cleaning, transformation, and modelling using Power Query and SQL, with documentation of key data definitions.
- Power BI
- Excel
- SQL
Education2
M.Sc. Computer Science
2023 — 2025MIT Arts, Commerce and Science College
B.Sc. Computer Science
2020 — 2023MIT Arts, Commerce and Science College