May 2025 – Dec 2025 · 7 mos · Visakhapatnam, Andhra Pradesh, India

Jun 2024 – Apr 2025 · 10 mos

• In this role, I led monetization and growth strategy via Charges (Delivery charges, Platform fee, Surge fee etc.) for Zomato’s food delivery platform - driving product and business decisions around platform fees, delivery charges and user conversions.
• My work involved defining and executing the product roadmap to align with the quarterly goals of Zomato's growth and profitability.
• Defined and executed the roadmap for platform fee experimentation; drove a 42% uplift on revenue from charges, with minimal drop in conversion rate.
• Reimagined the checkout experience for low-frequency users, directly boosting daily order volume.
• Gathered in-depth competitive intelligence to monitor market movements and conducted multiple A/B experiments to optimise delivery charges for competitiveness.
• Mentored a team of analysts, streamlining experimentation analysis and fostering a culture of speed and ownership.

Jul 2022 – Sep 2024 · 2 yrs 2 mos

• Worked in setting up the new "Healthy" section from scratch within the Zomato app for the first few quarters of this role. Operated in a generalist capacity across functions including analytics, operations, and program management.
• Moved to the charges team later on where the focus was on developing features and strategies to enhance growth and profitability powered by in-depth analytics.
• Also, worked alongside the engineering team to migrate the critical charges infrastructure to microservices architecture, owning the migration from a business standpoint (migrated without any logic gaps and revenue leaks).

Jan 2021 – Jun 2022 · 1 yr 5 mos

Jul 2020 – Sep 2020 · 2 mos · Bengaluru, Karnataka, India · Remote

• Supported category-level growth strategies by identifying business gaps and automating reporting pipelines.
• Analyzed GMV and P&L data to uncover insights and gaps across key business verticals
• Developed dynamic dashboards in google sheets for business teams for daily tracking of key business metrics.
• Developed python scripts to retrieve data from sprinkle for further analysis and for automating spreadsheet reports.

Mar 2020 – May 2020 · 2 mos · Bengaluru, Karnataka, India

• Worked on end-to-end product analytics - partnering with PMs to define metrics, track daily usage, and derive actionable insights.
• Developed dashboards in Looker for generating insights and daily tracking of key metrics based on data of 45 million MAU (monthly active users).
• Developed dynamic funnel and cohort creation modules in Looker to measure the retention across various levels.
• Handled multiple ad hoc data and analysis requests in BigQuery for growth and operations teams.
• Worked on the migration of Clever Tap to Looker with additional functionalities and reduced the costs by > 50%

Jul 2018 – Feb 2020 · 1 yr 7 mos · Bengaluru, Karnataka, India

• Time Series Forecasting - Analyzed the performance data of the servers and developed classical, deep learning and hybrid ensemble models for forecasting.
• Implemented research papers and SOTA algorithms on RNNs for time series forecasting.
• Automated the model selection process by cross-validation, using a single number evaluation
• metric.
• Used SQL to convert data into actionable insights by creating automated dashboards in grafana, to visualize key metrics.
• Reduced the costs of infrastructure inventory management by 6% by helping in making proactive
• decisions.
• Text Classification – Analyzed the IT incident tickets data. Built statistical and deep learning based text classifiers in keras to classify the tickets with 88% accuracy.
• Helped to recover the costs of the resources by automating the whole manual ticket classification process.

May 2017 – Jul 2017 · 2 mos · Bengaluru, Karnataka, India

• Worked on the project "Anomaly detection in the Web Infrastructure System" for a Retail Industry client based in the USA.
• Performed statistical Analysis and visualized the web infrastructure multivariate time series data to detect the servers that caused the anomalies (Order drops).
• Applied supervised techniques like step-wise regressions, random forest and boosting algorithms to predict the orders and detect the anomaly causing variables.

Jul 2016 – Apr 2017 · 9 mos · Bengaluru, Karnataka, India

• Leading the main team of 12 students and entrusted with the responsibility of teaching and guiding other students to learn and improve upon their skills. Responsible for endowing the aspect of "teamwork" and also for maintaining proper discipline and team culture.
• Inter IIT Sports
• A key member of the Gold Medal Winning Basketball Team at the 51st and the 50th Inter IIT sports meet respectively. Secured 1st position in Basketball at Sportech'16 (IIT Delhi).

Jul 2015 – Mar 2016 · 8 mos · IIT Roorkee

• Won the Bhawan level elections and got elected as the Maintenance Secretary of Ravindra Bhawan, IIT Roorkee. Improved a lot on my leadership quality by successfully representing the voice of the students to the college administration. Also gained managerial skills by managing the funds allocated to the hostel. Played a key role as a senator by providing useful ideas for the betterment of the institute.