Mar 2025 – Nov 2025 · 8 mos · Gurugram, Haryana, India · On-site

• Partnering with Google to build Generative AI-driven automation for their internal feedback review systems, leveraging Advanced SQL, Python and data analysis techniques to integrate LLM-based solutions that reduce manual intervention and enhance scale, accuracy and consistency.
• Developing AI-assisted workflows powered by Python scripts and SQL logic, automating feedback classification and validation while applying data-driven insights to streamline review pipelines.

Dec 2021 – Mar 2025 · 3 yrs 3 mos · Noida, Uttar Pradesh, India

• Redesigned the complete backend of a complex legacy Tableau dashboard, achieving a 90% reduction in backend job runtime, enhancing operational efficiency 12-fold, and significantly mitigating the risk of SQL job failures by consolidating over 20 disparate SQL components into a single SQL procedure and table.
• Optimized Tableau dashboard performance significantly, reducing dashboard size by 25% by streamlining the entire dataflow and converting redundant calculations into LOD expressions. Eliminated crashes, ensuring uninterrupted usage and better dashboard responsiveness.
• Automated crucial monthly and quarterly Excel reports via Tableau and SQL views, reducing generation time from multiple days to merely 2-3 hours. Dramatically improved efficiency, minimizing human errors, and ensuring timely insights for stakeholders.
• Facilitated complex, ad hoc data requests during the US-based annual enrollment period, providing concise and clear insights to stakeholders. Demonstrated proficiency in generating intricate data sets, ensuring timely, accurate responses during critical business periods.

May 2021 – Oct 2021 · 5 mos · Gurugram, Haryana, India

• Partnered closely with the Central Analytics team to perform advanced data analysis using SQL and Tableau, resulting in data-driven insights that informed key strategic decisions across multiple projects, including sales forecasting and customer segmentation.
• Transformed diverse datasets for the Investor Relations team, implementing SQL, Tableau, and Excel. Enhanced data quality and visualization, improving efficiency by 30% through streamlined processes and interactive dashboard creation.
• Constructed SQL queries to extract diverse datasets for more than 10 different verticals, including customer behavior, store operations and supply team performance, retention data, and other key performance indicators. Delivered reports daily, weekly, and monthly, offering crucial insights to stakeholders on timely basis.

Aug 2020 – May 2021 · 9 mos · Pune Division, Maharashtra, India

• Contributed effectively to design and implement migration rules to convert data from source database tables into the required format for the target database, utilizing SQL scripts for efficient and accurate database transitions.
• Accomplished a 45% reduction in data reconciliation time and a 30% decrease in post-migration support tickets, ensuring data accuracy and minimizing post-migration issues.

Jan 2020 – Jul 2020 · 6 mos · Pune Division, Maharashtra, India