Headline

Full-Stack Data Scientist | Passionate about helping organizations leverage AI effectively

About

I am a data scientist with more than 10 years of experience in building products and solutions. I have had exposure to a vast variety of problems in multiple domains like Retail, Tech, Finanace and Mortgage across different functions like Supply Chain, Marketing, Websites and Telemetry analytics.

Location

Bengaluru

AI stack

antigravity

codex

langchain

langgraph

mcp

huggingface

Work experience

Senior Scientist at PepsiCo, May 2025 - Present · 1 yr 6 mos, Hyderabad, Telangana, India

Data Scientist at PepsiCo, Mar 2023 - Present · 3 yrs 8 mos, Hyderabad, Telangana, India

Data Scientist 3 at Karbon Card, Nov 2022 - Feb 2023 · 4 mos, Bengaluru, Karnataka, India

Data Scientist at AmeriSave Mortgage Corporation, Apr 2022 - Aug 2022 · 5 mos, Bengaluru, Karnataka, India, 1. Built an algorithmic scoring model to evaluate and tier Loan Originators to assess performance - Created a classification model to rate baseline conversion probability of each connect - Developed a ranking methodology to score Loan Originators based on actual v/s expected performance 2. Developed a propensity model to identify golden leads for home solar implementation

Data Engineer | Data Scientist at Ganit Inc., Aug 2020 - Apr 2022 · 1 yr 9 mos, Chennai, Tamil Nadu, India, 1. Built a pricing engine to automatically set prices for Staples products across pan-India locations - Automated the pricing process for ~80k store-item pairs - Used a neural network based simulation model to calculate item elasticity percentages - Achieved a net margin uplift of ~13% 2. Built a constraint optimization model for labor scheduling - Mathematically formulated the objectives, constraints and variables for the modelling - Tested various linear/non-linear solvers in Python and evaluated the best model as per the performance, size and cost requirements - Client was able to save costs of ~9% due to better workforce management and roster optimization 3. Built an automated ordering system to identify optimal quantities for F&V items - Automated replenishment planning for approx. 2.5 million store-item pairs - The model considered various factors like inventory levels, service levels, shrinkage, resupply etc. - Automated the entire data pipeline and ML workflow using Airflow and Python - The solution reduced stock-outs by ~18% and dump by ~20%

AVP - Platform Engineering at Goals101, Jul 2018 - Nov 2019 · 1 yr 5 mos, Greater Delhi Area, 1. Worked as part of the platform engineering team to design and architect the banking data platform (ALPHA) 2. Responsible for creating scalable and robust data pipelines to serve various products and integrate ML capabilities 3. Built an automated data quality framework that involved automated checks, anomaly detection, quality monitoring logs, alerts and ticketing mechanisms 4. Involvement in the all application development life cycle stages from sprint and milestone planning, rapid application deployment, unit testing, application testing, code coverage and creating detailed documentation of the product 5. Building a reporting framework on top of the data layer to server custom dashboards and metrics for client-facing reports6. Identifying and implementing text algorithms to parse and classify unstructured narration data

Decision Scientist at Mu Sigma Business Solutions, Oct 2015 - Jul 2018 · 2 y 9 mo, Whitefield, Bangalore

Education

Bachelor of Technology (B.Tech.), Mechanical Engineering, Delhi College of Engineering

AISSCE (XII), Physics, Chemistry, Math, Comp Sci., Indian School Al Wadi Al Kabir