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Data Analyst with 1+ years in Power BI & SQL.
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Assessing your cultural and operational fit
Results-driven Data Analyst with hands-on experience turning messy, million-row datasets into board-ready dashboards and revenue-relevant insights. Delivered end-to-end BI solutions—from raw SQL extraction to interactive Power BI and Tableau dashboards across e-commerce, fintech, and crowdfunding domains. Google-certified with dual SQL credentials; equally at home writing complex subqueries and presenting findings to non-technical stakeholders.
Savitribai Phule Pune University
M.Sc. Analytical Chemistry · Analytical Chemistry
N/A – June 30, 2016
Al Variant
Data Analyst Intern
December 1, 2024 – June 1, 2025
Bengaluru, Karnataka, India
Smart Nanoz Pvt Ltd
Research Assistant
March 1, 2017 – August 1, 2019
Pune, Maharashtra, India
Crowdfunding Platform Analysis Dashboard
June 1, 2026 – Present
Processed and modeled 370,000+ campaign records (2010–2019); identified that campaigns with goal ranges of $1K–$10K achieved 3x higher success rates than campaigns over $50K. Designed a 5-KPI dashboard (Amount Raised, Backers, Avg Duration, Success %, Goal Achievement Rate) with dynamic slicers for Year, Month, State, and Quarter—cutting stakeholder analysis time from hours to minutes. Delivered actionable insight: Category and goal-setting account for the majority of campaign outcome variance, enabling data-driven campaign planning recommendations.
Zomato Restaurant Data Analysis
June 1, 2026 – Present
Cleaned and modeled 9,600+ restaurant records using SQL and Power Query; removed duplicates and nulls to produce a 100% analysis-ready dataset. Built a multi-metric dashboard (Total Restaurants, Avg Rating, Total Votes, Service Index, Cuisine Diversity) segmented by City, Cuisine, Price Bucket, and Rating Category. Uncovered that premium-priced restaurants outperform mid-tier counterparts by 0.4 rating points on average—a finding directly actionable for vendor partnership prioritization.
Financial Fraud Detection
June 1, 2026 – Present
Queried and analyzed 104,000+ financial transactions using optimized SQL (filters, aggregations, conditional logic, window functions) to detect fraud patterns across transaction types and customer segments. Calculated fraud rate, repeat-fraud frequency, and transaction anomaly scores; discovered all identified fraud cases were isolated (non-clustered), ruling out coordinated fraud rings and narrowing the investigation scope.
Google Data Analytics Professional Certificate
Coursera
June 1, 2026 – Present
SQL (Basic)
HackerRank
June 1, 2026 – Present
Data Analytics
ExcelR
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity (financial fraud, crowdfunding, restaurant analysis) and exposure to different domains (e-commerce, fintech) suggest adaptability and a broad interest in applying data analytics. The focus on delivering actionable insights and improving decision-making aligns well with a results-driven culture. Their continuous learning through certifications (Google Data Analytics, HackerRank SQL) indicates a proactive and growth-oriented mindset, which is a strong cultural fit for dynamic analytical teams.
Soft Skills & Operational Fit
The candidate demonstrates strong analytical thinking, problem-solving, and attention to detail, crucial for data accuracy and insight generation. Their experience in presenting findings to stakeholders indicates good communication and collaboration skills. The ability to automate reporting and reduce manual effort suggests an efficiency-oriented mindset. The research assistant role highlights a commitment to documentation and process consistency, which are valuable operational traits.