Headline

Data Analyst @ Flipkart & Myntra | Ex-Uber | Revenue Assurance & Finance Analytics | SQL | Python | Databricks | Tableau | GenAI | Claude | Finance | E-commerce

About

Data Analyst at Flipkart & Myntra with expertise in Revenue Assurance, Finance Analytics, Business Intelligence, Automation, and Generative AI solutions. I specialize in leveraging SQL, Python, BigQuery, Databricks, Tableau, and Power BI to uncover revenue leakages, optimize business processes, and build scalable analytics solutions across Finance, Supply Chain, Product, and Category functions. Key Achievements: 1. Identified and drove recovery initiatives for ₹120 Cr+ revenue leakage through large-scale GTA reconciliation and finance analytics. 2. Uncovered ₹10 Cr+ logistics cost optimization opportunities through KPI frameworks and supply chain analytics. 3. Designed and automated 7+ business-critical KPIs across Revenue Assurance, Logistics SLA, OTD, Return Rate, and Seller Performance. 4. Built automated anomaly detection systems reducing issue detection time by 35%. 5. Automated reporting workflows using Python, SQL, and Databricks, saving 4+ hours daily and reducing reporting errors by 40%. 6. Developed dashboards and analytics solutions supporting Finance, Category, Supply Chain, and Business stakeholders. 7. Led a Generative AI initiative at Uber, contributing 70% of project development, reducing query resolution time by 40%. I am passionate about transforming complex datasets into actionable business decisions and building data products that drive measurable business impact.

Location

Greater Bengaluru Area

AI stack

claude

cursor

gemini

grok

openai

ChatGPT Images

Work experience

Data Analyst at Flipkart, Nov 2025 - Present · 11 mos, Bengaluru, Revenue Assurance & Finance Analytics: Identified ₹120 Cr+ revenue leakage through GTA reconciliation by rebuilding revenue calculations across 10+ Cr records using SQL and Python. Designed and implemented reconciliation frameworks that improved finance reporting accuracy and enabled large-scale recovery initiatives. Built and automated 7+ KPIs across Revenue Assurance, Logistics SLA, OTD, Seller Performance, and Return Analytics. Discovered ₹10 Cr+ logistics optimization opportunities through supply chain analytics and KPI monitoring frameworks. Developed anomaly detection mechanisms that reduced issue detection time by 35%. Created executive dashboards in Tableau and Power BI for Finance, Category, and Supply Chain teams. Automated reporting and reconciliation processes using Python and SQL, saving 4+ hours daily and reducing manual errors by 40%. Partnered with Finance, Product, Operations, and Business stakeholders to drive data-backed decisions at scale.

Data Analyst Trainee at Nineleaps, Nov 2024 - Aug 2025 · 10 mos, Bengaluru, Karnataka, India, Developed and optimized SQL queries for data aggregation, improving reporting efficiency by 30%. • Utilized Python (Pandas, NumPy) for data transformation, exploratory analysis, and automation. • Designed and implemented custom KPI metrics for market performance tracking, increasing analysis accuracy by 25%. • Built interactive dashboards in Tableau & Looker Studio, enabling real-time data monitoring for business teams. • Collaborated with cross-functional teams to streamline data-driven decision-making processes. • Led an LLM-based Generative AI project, driving 70% of the development work, performing quality checks on teammates’ contributions, and ensuring successful project delivery.

Data Analyst at Uber, Nov 2024 - Aug 2025 · 10 mos, Bangalore Urban, Karnataka, India, Developed and optimized SQL queries for data aggregation, improving reporting efficiency by 30%. • Utilized Python (Pandas, NumPy) for data transformation, exploratory analysis, and automation. • Designed and implemented custom KPI metrics for market performance tracking, increasing analysis accuracy by 25%. • Built interactive dashboards in Tableau & Looker Studio, enabling real-time data monitoring for business teams. • Collaborated with cross-functional teams to streamline data-driven decision-making processes. • Led an LLM-based Generative AI project, driving 70% of the development work, performing quality checks on teammates’ contributions, and ensuring successful project delivery.

Education

Be computer science engineering, Computer Science, Sri Venkateshwara College of Engineering, BANGALORE