About Me
Data Analyst with hands-on experience across three internships, building SQL- and Python-driven analyses and Power BI dashboards that support business decisions. Comfortable owning a dataset from raw extraction through stakeholder-ready reporting, with a track record of cutting manual reporting effort (30%) and reducing ad hoc data requests (25%) through dashboard automation.
Skills & Technologies
Work Experience
Data Analyst Intern
Cleaned, transformed, and analyzed multiple business datasets using Python and SQL, preparing data for reporting across retail transactions. Engineered 5+ analytical features and built 10+ visualizations to uncover performance patterns, informing customer segmentation strategy. Synthesized 15+ data-backed insights into stakeholder-ready recommendations.
Data Analyst Intern
Designed and deployed multi-page Power BI dashboards with DAX measures, providing senior managers real-time visibility into sales and operational KPIs. Extracted and analyzed large-scale datasets using SQL and Python, uncovering performance trends that informed strategic initiatives. Streamlined recurring Power BI reports and Power Query transformations, improving data accuracy and reducing ad hoc data requests by 25%.
Data Analyst Intern
Ran end-to-end exploratory data analysis in Python and SQL on business performance data, uncovering a regional demand gap. Built Power BI dashboards adopted by 10+ stakeholders to track weekly performance metrics, improving visibility into business health. Automated recurring Excel and Power BI reports, cutting manual reporting time by 30%.
Projects
Ola Driver Attrition Analysis
Analyzed 19,104 records across 2,381 drivers and 29 cities using Python-based exploratory data analysis, identifying an overall 8.46% attrition rate. Delivered recommendations to improve retention and operational performance.
Superstore Sales Dashboard
Built a multi-page Power BI dashboard analyzing $2.3M+ in sales across 793 customers and 38K+ units sold. Developed YoY DAX measures revealing 32% profit growth and optimized SQL queries to improve load speed by 50%.
Credit Risk Analysis Dashboard
Analyzed borrower and loan data to identify credit-risk drivers, revealing an overall ~21% loan default rate. Developed a custom Risk Score to segment borrowers into Low, Medium, and High Risk.
Medical Insurance Cost Analysis
Analyzed 1,338 insurance records to identify healthcare cost drivers. Built an interactive dashboard comparing medical costs across various categories.
Education
PGDM in Financial Management
Master of Arts, Economics
Economics
Bachelor of Arts (Hons.), Economics
Economics