Data Analytics Intern
Computer Science Engineering graduate with hands-on experience in Python, SQL, Power BI, Tableau, Excel, data cleaning, exploratory data analysis, dashboard development, KPI reporting, customer segmentation, and business intelligence.
SmartBridge (APSCHE)
Six months
Completed a six-month internship focused on Tableau, Excel, and data analytics; cleaned and validated datasets, performed exploratory data analysis, created dashboards, documented findings, and presented actionable business insights.
Deloitte Australia & Tata (Forage)
Completed analytics, visualization, and business insight projects using realistic datasets; developed dashboards and communicated recommendations through data storytelling.
Bachelor of Technology, Computer Science Engineering
April 2026
CGPA: 8.35/10. Relevant coursework: Database Management Systems, Statistics, Data Structures, Data Mining, Data Visualization, Machine Learning Fundamentals.
Cleaned and analyzed retail transaction data using Python and SQL; performed RFM analysis to segment customers and identify high-value groups; evaluated revenue trends, customer behavior, and product performance; designed an interactive Power BI dashboard with KPIs to support business decisions.
Analyzed 21,000+ transactions generating $817K+ revenue; used joins, CTEs, window functions, and aggregate queries to uncover insights; identified top-selling products, peak sales hours, and demand patterns; applied Pareto analysis to prioritize high-impact revenue drivers.
Built an interactive Power BI dashboard tracking sales, revenue, profit, and year-over-year growth; implemented KPI cards, filters, and drill-through reports for business reporting.