About
Results-driven Data, Business, and Product Analyst with hands-on experience in SQL, Python, Power BI, and Excel, delivered through 6 end-to-end analytics projects spanning election analytics, retail sales, hospitality, rental revenue, and sports performance. Demonstrated elite analytical reasoning by clearing UPSC Civil Services Prelims 3 times and Mains 2 times. Skilled in EDA, KPI development, DAX modelling, Power Query, customer segmentation, and stakeholder communication. Fully open to relocate anywhere in India.
Skills & Expertise (29)
Work Experience
Data Analyst, Business Analyst, Product Analyst
AP Election Analytics
Jan 2024 - Jan 2025
Collected and cleaned 500+ constituency-level ECI records; built DAX KPIs — Vote Share %, Winning Margin, Seat Conversion Rate, Voter Turnout Deviation — across 175 Assembly and 25 Parliamentary constituencies. Cross-analysed welfare spending vs. vote swing patterns to identify swing constituencies with sub-15,000 vote margins, providing actionable campaign intelligence. Delivered a 16-page drill-down Power BI dashboard with district maps, slicers, and constituency filters enabling instant regional performance insight for decision-makers.
Data Analyst, Business Analyst, Product Analyst
Hotel Booking Performance Analysis
Jan 2024 - Jan 2024
Processed 10,000+ row booking dataset using Power Query; cleaned nulls, standardised channels, and built a star-schema data model for accurate KPI calculation. Surfaced peak cancellation windows and high-risk booking profiles; developed DAX-driven KPIs for occupancy rate, ADR, seasonal revenue trends, and customer segmentation. Delivered a 5-page interactive dashboard enabling stakeholders to reduce cancellations and optimise room pricing strategy during low-occupancy periods.
Data Analyst, Business Analyst, Product Analyst
Movie Rental Revenue Analysis
Jan 2024 - Jan 2024
Queried a 7-table relational database using multi-level JOINs, CTEs, and Window Functions to rank the top 10 revenue-generating customers and highest-grossing rental categories. Revealed that top 5 customers drove ∼23% of total 3-month revenue, directly enabling targeted retention and upsell recommendations to maximise customer lifetime value. Delivered a structured insight report with ranked customer segments and rental category performance breakdown mapped to concrete business growth strategies.
Education
Bachelor of Engineering — Civil Engineering - Andhra Pradesh
- 2021 · Afghanistan
Diploma in Civil Engineering - Andhra Pradesh
- · Afghanistan
Certifications
Data Analytics Essentials
Cisco Networking Academy · 2026
Data Analytics using Power BI
Tech Tip 24 · 2026
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Open to Relocation
Skills (29)
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