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Data Analyst with 2+ years in SQL, Python, Power BI & GenAI
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Results-driven Data Analyst with 2.8 years of experience delivering end-to-end BI solutions using SQL (MS SQL Server, MySQL), Python, Power BI (PL-300 Certified), and Tableau. Built executive dashboards, HR analytics tools, and e-commerce intelligence platforms - reducing reporting effort by up to 90% and improving data accuracy from 85% to 97%. Skilled in ETL automation, DAX modeling, KPI decomposition, customer retention analysis, cohort analysis, and revenue driver analysis for SaaS and e-commerce environments. Integrates Gen AI tools (Claude, ChatGPT) with prompt engineering to accelerate analytics workflows by 40%, generating optimized DAX expressions, SQL templates, and data validation scripts.
Savitribai Phule Pune University
M.Sc. Computer Science · Computer Science
August 1, 2020 – June 30, 2022
Savitribai Phule Pune University
B.Sc. Computer Science · Computer Science
August 1, 2017 – June 30, 2020
AI Variant India
Data Analyst
November 1, 2024 – May 1, 2025
Pune, Maharashtra, India
Cognizant Technology Solutions
Programmer AI & Analytics
April 1, 2022 – June 1, 2024
Pune, Maharashtra, India
4-Layer Executive Business Analytics Dashboard
June 24, 2026 – Present
Built executive-style Power BI dashboard across 4 layers: Executive Overview (Revenue, Orders, AOV, MoM Growth), Revenue Diagnosis (driver analysis, channel/region breakdown, refund impact), Customer & Unit Economics (New vs Returning, Retention Rate, CAC, LTV, LTV:CAC), and Validation & Risk Monitoring. Applied KPI decomposition, driver-based revenue analysis, DAX context transition management, and filter logic validation — used AI tools to optimize complex DAX measures and refine dashboard storytelling.
E-Commerce SQL Analytics — 10,000 Orders
June 24, 2026 – Present
Performed end-to-end business analytics on 10,000-order dataset - calculated Total Revenue, AOV, city/category-wise trends, repeat customer rate, cohort analysis, and anomaly detection using Advanced SQL (Window Functions, Views, Stored Procedures).
HR Attrition Analytics Dashboard
June 24, 2026 – Present
Built HR analytics dashboard on 1,000-employee dataset revealing 27.3% overall attrition — segmented by age group, department (Sales & Operations), salary band, and tenure; translated findings into actionable retention strategy recommendations.
Interactive E-Commerce Analysis Dashboard
June 24, 2026 – Present
Built dynamic Power BI dashboard analyzing category, regional, and payment method impact — KPIs include Total Sales, Profit, Quantity, and Orders with MoM trend visuals; engineered DAX measures for Profit Margin, Delivery Days, and Payment Mode performance.
Customer Revenue & Cohort Analysis
June 24, 2026 – Present
Performed advanced SQL analysis to evaluate customer revenue contribution - identified top 10% revenue-contributing customers, quantified revenue concentration, and delivered data foundation for targeted retention and upsell strategy.
Microsoft Certified: Power BI Data Analyst Associate (PL-300)
Microsoft
April 1, 2026 – April 1, 2027
Google Data Analytics Professional Certificate
April 1, 2026 – Present
Tata — GenAI Powered Data Analytics Job Simulation
Forage
April 1, 2026 – Present
SQL (Advanced) Certificate
HackerRank
March 1, 2026 – Present
SQL (Intermediate) Certificate
HackerRank
March 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, ranging from e-commerce analytics to HR attrition dashboards and executive business dashboards, indicates a broad applicability of their skills across different business domains. Their experience in both AI Variant India (remote) and Cognizant Technology Solutions suggests adaptability to different work environments. The certifications from Microsoft, Google, HackerRank, and Forage demonstrate a proactive approach to continuous learning and skill development, aligning well with a culture of growth and innovation. The target role of Data Analyst aligns perfectly with their professional experience and project portfolio.
Soft Skills & Operational Fit
The candidate demonstrates strong operational fit through their experience in leading requirements gathering, UAT, and translating business needs into technical solutions. Their ability to reduce manual reporting effort by 90% and improve data accuracy from 85% to 97% highlights a results-oriented and efficient approach. The use of GenAI tools for workflow automation also points to an innovative and adaptive mindset. The candidate's project descriptions indicate a clear understanding of business impact and the ability to communicate findings effectively.