---
title: "Akash Deep - Staff Data Scientist in Bengaluru | Tal"
description: "Meet Akash Deep, Data Science at Nykaa | Ex-Swiggy | M.Tech-AI IISc Bangalore based in Bengaluru. AI stack includes claude code, codex, and gemini."
image: "https://tal.club/meet/akash-deep-4/share-image"
---

# Akash Deep on Tal

## Headline

Data Science at Nykaa \| Ex\-Swiggy \| M\.Tech\-AI IISc Bangalore

## About

Data Scientist at Swiggy\. Trying to solve problems across domains like recommendations, customer profiling and discounting in the e\-commerce industry\.

## Location

Bengaluru

## AI stack

claude code

codex

gemini

kiro

langchain

huggingface

## Work experience

Staff Data Scientist at Nykaa, Apr 2026 \- Present · 6 mos, Bengaluru

Data Scientist III at Nykaa, May 2024 \- Mar 2026 · 1 yr 11 mos, Bengaluru, \- Churn Prediction Framework to identify the right time to act on users at risk of churn\. \- Customer State Transition Models to predict the movement of users from one affluence state to another\. \- Search \- Working on revamping the Query Understanding pipeline to improve candidate generation \- Generated product attributes for improving search using Gemini and GPT models\.

Data Scientist II at Swiggy, Nov 2020 \- May 2024 · 3 yrs 7 mos, India, \- Formulated POCs for identifying and ranking for explore and exploit intents in listing\. \- Formulated a novel MAB based solution for ranking of widgets in Swiggy's new homepage \* Objectives: addressing relevance, combinations and diversity of the page \* Worked closely with the engineering team while leading the implementation efforts\. \- Trust and Safety \- Currently own the Cash on Delivery abuse reduction efforts from DS end\. \* Working closely with business, product, engineering, finance and analytics stakeholders to drive multiple projects end\-to\-end \* Working with highly unbalanced classes and low volumes of reliable data and rapidly evolving customer behavior \* Built solutions for dynamic cart value limits for offering COD option to maximise conversion while keeping cancellation risk in check using uplift modelling\. Published a paper on this subject in ECML PKDD 2023\. \* Coordinated session attribute generation across 6 engineering teams\. These session attributes are used to detect anomalous sessions especially among new users\. \* Built a framework to optimise the cash carrying capacity of delivery executives \- Helped optimise the Instamart hub locations using facility location formulation\. \- Hackathon \- First prize winner in an internal hackathon among Swiggy Data Science and Applied Research team \* Built an end\-to\-end flow for a cart\-building voice assistant in Swiggy Instamart \- objective was to deliver the kirana store experience for users \* Built or used open source components wherever possible for modules like ASR, NER, TTS, Search and Ranking and tied them all together to give a hassle\-free flow over a span of 3 days with 4 team members\.

Data Scientist at Swiggy, Nov 2018 \- Oct 2020 · 2 yrs, Bengaluru, Karnataka, India, \- Built domain knowledge inspired solutions for Customer Churn prediction \- Worked on the early stages of building a robust experimentation platform for Swiggy \- Revamped the listing recommendations charter \* Formulation and modeling of listing as point\-wise classification, and later other LTR methods \* Simple to complex solutions for multiple business objectives in listing \- conversion vs delivery cost, different levels of funnel conversion \(menu conversions vs cart conversions \- MTL\), cold start, etc\. \* Working on complex engineering challenges like huge data volumes, cost\-effective inference strategies, monitoring and alerts on business and model metrics, and RCAs on escalations\. \* Delivered significant business impact and DS improvement over this period\.

Business Analyst at Swiggy, Jun 2018 \- Oct 2018 · 5 mos, Bengaluru, Karnataka, India, \- Built different customer segments to help the growth team run targeted ads on Facebook \- Studied discounting with a PhD Scholar and worked on Uplift Modelling to identify the right users to offer discounts and cut down discounting costs\.

Data Science Intern at Swiggy, Jul 2017 \- Dec 2017 · 6 mos, Bengaluru Area, India, \- Deliver useful business insights around customer ordering patterns \- Built ETA prediction models using different boosting and bagging methods \- Built a simulation tool using Anylogic to visualise the order assignment logic in action \- Built a simulation tool in Python to visualise traffic at different stages in users' app journey modelled using State Transition Matrix

Advisor at Enactus, May 2016 \- Mar 2017 · 11 mos, BITS Pilani Goa Campus

Head, Workshops and CSR at Quark 2017, Apr 2016 \- Mar 2017 · 1 yr, Goa, India\., Quark has been a wonderful experience in the past two years\. Teamwork and leadership are the core values that I learnt here\. In my role as Head, Workshops and CSR I had the following accomplishments: • Managed a team of over 60 students\. • Increased revenue while decreasing expenditure substantially compared to previous editions • Improved workshop quality by bringing companies in like Mathworks, TI, NVIDIA, Zerodha etc\. to deliver workshops\. • Organised multiple nation\-wide Blood Donation\-cum\-Organ Donation \- RED campaigns across India\. • Secured UNESCO Patronage for the festival 'whY Chromosome' \- a Women Empowerment Campaign\.

## Education

Master's degree, Artificial Intelligence, Indian Institute of Science \(IISc\)

Bachelor's Degree, Electrical and Electronics Engineering, Birla Institute of Technology and Science, Pilani \- Goa Campus

[View the original profile](https://tal.club/meet/akash-deep-4)

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