Data Scientist II at Swiggy

Part of the Market Fulfilment Platform team, I worked on the post order experience and fulfiment of orders across 3 verticals.
InstaMart - Quick Grocery:

• Built and deployed multiple real-time delivery prediction models for Swiggy Instamart throughout its journey, scaling it from 30,000 orders to 500,000+ orders a day. These models are consumer facing and power the assignment and logistics systems at the company.
• These models utilized machine learning techniques and neural nets to analyse and transform millions of rows of data. Enhancements made across releases captured tail events better significantly reducing delayed orders from 5% to 2% and reducing early deliveries from 40% to 17% driving value and setting the right delivery expectations to customers.
• I owned and took responsibilty for the compliance of Instamart Orders while managing and monitoring these models.

• I served as a mentor to a junior Data Scientist, helping her to create the first consumer-facing model for Genie, our pickup-and-drop service at Swiggy. This model was Ensemble-based and included components predicting different stages of the journey. Doing so, we reduced delays from 18% to 6% as well as being more accurate (+3pp) in the process.
• The model was designed to be built upon for use in other areas like assignment and logistics as well as providing the tracking and estimated time of arrival of delivery executives.

Research Scientist Intern at Swiggy

• Designed and built a BERT-based category classifier from the free text description of items provided by customers. Classifying these customer transactions into multiple categories helped us understand the market needs for different customer segments.
• Submitted a study on Active Learning for multi-class text classification to understand its potential use throughout the organisation in reducing annotation costs by 85%.

BI Analyst Intern at Solar for Schools

• SFS provides services that enable schools to go Solar by not only providing a plant to them, but also providing sustainable energy education to students.
• Gathered, organised and structured core-generation and financial data of over 150 plants around Europe and Asia
• Performed quantitative and qualitative business analysis to provide useful insights in the form of metrics, visuals and reports.
• Also prepared a “one stop shop” of information for remote management and maintenance of assets.

ABM Research Group @ IIITS

Abhisarga, IIITS’ Annual Techno-Cultural Fest