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Data Analyst with 1.5+ years of experience transforming complex data into actionable business insights. Skilled in SQL, Power BI, Python, and Excel, with expertise in KPI reporting, dashboard development, data quality management, and end-to-end data warehousing. Currently pursuing an Executive PG Certification in Data Science & AI from iHub IIT Roorkee.
I'm a Data Analyst based in Madurai, Tamil Nadu, with 1.5+ years of experience transforming data into actionable business insights. My background in Biotechnology sparked a curiosity for solving complex problems, which led me to pursue a career in data analytics.
At Regenesys Business School and Edunet Foundation, I have built KPI dashboards, improved CRM data quality, and analyzed operational performance to support informed business decisions. Using SQL, Power BI, Python, and Excel, I turn complex datasets into clear, meaningful insights for stakeholders.
End-to-end banking analytics on a $2.6B loan portfolio and $1.75B in deposits. Identified 482 high-risk customers, monitored a 148.4% loan-to-deposit ratio, and built customer segmentation insights for credit risk assessment.
Built a 3-layer Medallion Architecture (Bronze-Silver-Gold) SQL Server data warehouse processing 116K+ records across 6 ERP/CRM tables. Authored 10+ analytics queries with window functions and CTEs for YoY trends and segmentation.
Segmented 10,000+ UK retailer customer records using K-Means clustering and PCA. Built RFM features, a product recommendation engine, and delivered insights contributing to 15% higher engagement and 12% better campaign conversion.
Designed a sales insights dashboard for a pan-India hardware company using MySQL for data analysis and Power BI for visualization. Built a star schema data model, performed ETL using Power Query, and created DAX measures to monitor revenue, profit margins, and regional sales trends. The solution was designed to reduce manual reporting efforts and support faster, data-driven decision-making across sales operations.
Analyzed BlinkIT quick-commerce data across $1.20M in sales, 8,523 items, and an avg. rating of 3.9. Built a Power BI dashboard covering KPIs, fat-content trends, product category popularity, and outlet-level performance to optimize service strategy.
Analyzed a 10,000-respondent survey across 10 Indian cities for a German beverage brand entering India. Used MySQL for demographic and behavioral queries and Power BI for multi-page dashboards covering brand penetration, purchase behavior, competition analysis, and product development recommendations.
NOV 2024 – MAR 2026
Regenesys Business School · Remote
FEB 2024 – APR 2024
Edunet Foundation – EY GDS & AICTE · Remote
iHub IIT Roorkee
Nov 2025 – Present
⏳ In ProgressA beginner-friendly walkthrough of building a Medallion Architecture (Bronze-Silver-Gold) data warehouse in SQL Server — from raw data ingestion to analytics-ready star schema.
▶ Read on Medium →Analyzed India's EV market across 10 cities using 30+ SQL queries and a multi-page Power BI dashboard — covering EV adoption by state, CAGR trends, penetration rates, and strategic recommendations for Atliq Motors.
▶ Read on Medium →A complete walkthrough — from Power Query data cleaning, pivot tables, slicers and DAX measures, to a fully customized dashboard tracking sales by hour, day, product category, and store location.
▶ Read on Medium →A practical guide to the 8 non-negotiable data cleaning steps — removing duplicates, handling nulls, fixing structural errors, managing outliers, ensuring consistent types, and validating integrity across Excel, Python, and SQL.
▶ Read on Medium →1.5+ years in SQL, Power BI, Python & CRM Analytics. Open to Data Analyst, Business Analyst & BI Analyst roles.
⬇ Download Resume(PDF · Last updated Jun 2026)