Nov 2023 – Jun 2025 · 1 yr 7 mos · Bengaluru, Karnataka, India

• Enhanced Order Fulfilment: Leveraged MQTT events and heartbeat data to develop heuristic
• models for assessing driver availability during allocation. Integrating these data-driven models into
• our operations led to a significant 20% improvement in the delivery of order-related notifications,
• with delivery success rising to 92-95% within 10 seconds. This enhancement contributed to a 2%
• increase in order fulfilment.
• Enhanced Communication Efficiency: Achieved an annual reduction of ~₹2 crore in SMS costs to
• drivers and customers through a comprehensive approach. This involved process refinement, failure
• reduction, content optimisation, and seamless collaboration with the product, business, and
• engineering teams.

Aug 2022 – Dec 2023 · 1 yr 4 mos · Bengaluru, Karnataka, India

• Streamlined Call Center Costs: Implemented a cutting-edge Prophet Forecasting Model to
• accurately predict call volumes, enabling precise manpower planning for the call center. Incorporated
• parameters such as Average Handling Time and Completed Orders to enhance forecasting accuracy.
• Revamped Metrics Framework: Overhauled major dashboards to ensure precise KPI calculations,
• providing unprecedented visibility. Successfully improved dashboard performance from a range of
• 5-10 minutes to less than 10 seconds, enhancing overall operational efficiency.

Jun 2021 – Aug 2022 · 1 yr 2 mos · India

• Product Ranking System: Deployed an automated product sort engine for product listing pages. The
• algorithm looks for historical product CTR, sales velocity, in-stock ratio and few other parameters to
• rank the products in the right order to maximize sales.
• Product Recommendation System: Worked on similar product recommendations as well as cross
• selling products recommendation, these systems contributed 5-6% of total sales .
• Automated Data Driven Emailer System: Built a bulk email automation system, developed using
• Python, Amazon SES service to launch several email campaigns recommending personalized
• products based on user activity, purchase history, and customer segmentation. This system generated
• approximately ₹25 lakh in monthly revenue.
• Qlik Sense Dashboards: Deployed Python scripts which retrieved data from Mysql, Big Query, API’s
• and dumped transformed aggregated data which were then used for developing dashboards to track
• performance metrics or KPIs for different features or sections of our platform.

Jan 2021 – Jun 2021 · 5 mos

• Build a web application for smart KYC processes and management of documents in the reg-tech domain.
• Implementing the backend functions of the platform using the Django framework.
• Worked on the OCR for extracting features/data from different identity cards including PAN, Aadhar and Passport.

Nov 2020 – Nov 2020 · 0 mo

May 2020 – Jul 2020 · 2 mos

• As a Data Analyst my responsibility was to clean, manipulate, and find meaningful insights on various data and apply different machine learning models.