Headline

Senior Manager Analytics @ Swiggy | Driving Data-Driven Decision Making

About

With 11 years in Analytics and data science, currently serve as Senior Manager Analytics at Swiggy, where I lead a high-performing team focused on product and revenue analytics. My work centers on driving data-driven decision-making to support multi-city expansion, improve pricing efficiency, enhance supply availability, and scale the ads platform to optimize advertiser outcomes. Leveraging my expertise in reporting tools and large language models, I focus on developing AI-driven analytics frameworks to improve customer value and operational efficiency. My efforts are geared toward building intelligent systems that enable affordability, growth, and impactful business insights within Swiggy's dynamic and fast-paced environment.

Location

Bengaluru

AI stack

claude code

claude

langchain

manus

Work experience

Senior Manager Analytics- Food at Swiggy, Apr 2025 - Present · 1 yr 5 mos, Bengaluru, Karnataka, India, 1. Led and scaled an analytics team across product and revenue growth, driving a strong culture of data-driven decision making 2. Owned end-to-end product analytics for the affordable segment, supporting multi-city expansion and strong order growth 3. Improved supply availability, pricing efficiency, and conversion through data-led frameworks and experimentation 4. Led analytics for the ads platform, scaling revenue and improving targeting, transparency, and advertiser outcomes 5. Drove affordability and growth initiatives across the platform, improving order contribution and customer value 6. Built models and frameworks to improve item selection, engagement, and average order value 7. Led the shift to AI-driven, self-serve analytics with tools for automated insights, faster decision making, and reduced dashboard dependency

Senior Manager Analytics at Porter, Mar 2024 - Apr 2025 · 1 yr 2 mos, Bangalore Urban, Karnataka, India, Led Analytics team (9 analysts), driving data-led decision making across functions. Built and launched data science–driven supply planning model to optimize fleet allocation and capacity planning. Implemented Mixpanel analytics, enabling feature tracking and onboarding of multiple product use-cases. Redesigned data architecture & schema for the platform, improving scalability, consistency, and data accessibility. Launched automated underpayment system: Reduced tickets per order by ~50%. Delivered ₹9L/month reduction in bad debt.

General Manager analytics at Dunzo, Oct 2022 - Jan 2024 · 1 yr 4 mos, Bangalore Urban, Karnataka, India, ►Leading Business/Product/ B2B Logistic analytics team of 10-15 analysts. ►Coupon feature : conversion by 2 bps and reduced the burn by 5 Rs. per order. ►Recommendation Engine for cross sell at Search and Checkout pages - AOV Increased by 20-30 Rs ►User delivery fees personalisation- Overall GM increased by 9 RS which helped at order level Profitability. ►Part of Hiring strategy plan and increased the team size from 15 to 40 People in 4 months time period. ►Lead the IPL Project to work on growth/ ULM streams which helped in generating 5M orders from 1M in a 2 month time frame. ►Worked on User economics model to divide the user into actionable buckets and drive the PNL from -12 to -6 Rs per order and become order level profitable for 7 cities. ►Lead the project of revamping the whole checkout flow and worked on coupon code features which had increased conversion by 2 bps and reduced the burn by 5 Rs. per order. ►Worked with data engineering team to setup the floor plan of Data lake which can help in reducing the cost of Big-query by 60% and reduce the TAT to create new segments and offers by 6 hours. ►Worked on an automated alerting system to get real time alerts over Slack/ Phone/ Emails for data mismatch/ operational business flow using python and big-query cloud function. ►Co creation of weekly business review for Leadership team / creation of user product review documents for all features and drive insight and decision making.

Analytics Team Lead at Dunzo, May 2021 - Oct 2022 · 1 y 5 mo, India

Senior Product Analyst at upGrad, Apr 2020 - May 2021 · 1 yr 2 mos, ► Worked on Visitor to lead journey and optimized it. increased the V2L from 8.54% to 16%. ► Optimised Lead to Payment Funnel and created the smooth transition through various stages and solved recurring issues to save 1.6CR Rs/Quarter ► Setup the Analytics from scratch over Android/Web/iOS to track user activities using clever-tap and Google Analytics. ► Setup base dashboards at org level in Tableau for easy access and better user journey across platform*Channel. ► Worked on setting up an efficient attribution model for leads and payment distribution. ► Defined the "Engagement Score" across platforms for engagement from base and help platforms to increase the DAU up to 56%. ► Worked on creating Lead Scoring model for daily leads generated using logistic regression and weighted average of correlation for each feature. ► Worked on freemium product drop off rate with the help of engagement and learning activity on platform performed by user and predict which user will not complete the certificate or course.

Data Analyst at upGrad, Mar 2019 - Apr 2020 · 1 yr 2 mos, Mumbai, Maharashtra, India

Data Warehouse Analyst at Infosys, Jul 2015 - Mar 2019 · 3 yrs 9 mos, Bengaluru Area, India, • Taking parts in agile sprint planning meetings to have a discussion over different user stories and making an effective plan for successful sprint planning. • Creating tools for data extractor for raw data input using SQL and Excel macros. • Converting raw data into useful and processed data using ETL technologies and using advanced excel formulas • Analyzing the processed data with the help of reporting tool to gather useful information and converting data into visuals. • Testing over the migration of data from one server to another and verifying the column values.

Education

Executive Master of Business Administration, Indian Institute of Management Udaipur

Bachelor's Degree, Chemical Engineering, Vellore Institute of Technology