Work History

Quantum + AI Scholar

Womanium

Jun 2024 -  Present

Online

- Solve NP-hard problems such as Travelling salesman, max cut graph problem, graph coloring problem with quantum annealing on D-wave hardware. - Deployed simple algorithms such as phase flip, multi-controlled gate, circuit optimization using Classiq. - Won "QHack 2023: Victory" Badge on Pennylane. - Working on automatically identifying the defects in welding production using Quantum Machine Learning.

Lead ML Engineer

Dunnhumby

Dec 2023 -  Present

Gurgaon, India

- Led a team of 15+ engineers working across 20+ countries around the world, owning 12+ personalization solutions. - Optimized spark code resulting in a 65% reduction in run times and costs. - Reviewed peer codes and prepared deployment documentation to ensure adherence to coding standards and best practices. - Collaborated with cross-functional teams to gather requirements and translate them into scalable software solutions.

Senior ML Engineer

Dunnhumby

May 2021 -  Nov 2023

Gurgaon, India

- Deployed scalable spark ML pipelines with comprehensive logging and unit test cases resulting in a 40% reduction in system downtime and errors in production. - Automated CI/CD pipelines for automation of unit testing, build new release tag and deploy on production environment. This resulted in 25% less manual efforts and 56% less manual errors.

Global Quantum Scholar

Womanium

Jun 2023 -  Aug 2023

Online

- Learnt and deployed quantum circuits using Qiskit and Cirq. - Deployed Max cut graph algorithm using Grover Search. - Deployed QKD algorithms for secure network. - Solved Travelling Salesman Problem using QUBO formulation. - Wrote a novel on wattpad to spread knowledge of quantum in fun and easy way.

Senior Applied Data Scientist

Dunnhumby

Jun 2019 -  May 2021

Gurgaon, India

- Designed targeted marketing campaigns for giant retail companies and suppliers such as Tesco, Coca-cola, etc. yielding 6X ROI. - Effectively conveyed complex technical concepts and findings to stakeholders with clarity and brevity, resulting in a 35% increase in stakeholders’ engagement score.

Applied Data Scientist

Dunnhumby

Apr 2018 -  Jun 2019

Gurgaon, India

- Created segmentation to identify the time slot when frequent shopping is done, saving 20% cost, and yielding 4X ROI when campaign done for identified time slots. - Developed customer journey identifying touch points for customers to better target them, contributing to 43% more profit.

Attended Events (6) Communities (20)

GDG New Delhi

55271 members

GDG Cloud New Delhi

48635 members

WTM Delhi

18988 members

Women in Machine Learning and Data Science, Delhi

3911 members

Women Who Code Delhi

5918 members

Aeologic - Building Innovators

4841 members

View More (14)

Cookies

This website uses cookies to improve your online experience. By continuing to use this website, you agree to our use of cookies. If you would like to, you can change your cookie settings at any time. Our Privacy Notice provides more information about what cookies we use.