Experienced Machine Learning Engineer with over 7 years of expertise in implementing Big Data ML solutions, managing cross-functional teams, and delivering solutions to global clients. Seeking to leverage my skills in a dynamic and challenging role.
Overview
8
8
years of professional experience
1
1
Certification
Work History
Lead Data Science Engineer
Dunnhumby
06.2023 - Current
Architected a robust framework for deploying production-ready code, creating a cookiecutter module with seamless CI/CD integration, reducing the average timeline for production from 6 months to 1 week
Designed and created a feature generator module that reduced feature extraction runtime by 70%, dynamically creating features on-the-fly to significantly shorten machine learning project cycles.
Lead Research Data Scientist
Dunnhumby
10.2021 - 06.2023
Developed an algorithm to improve the existing recommender system using search data and an NLP module, resulting in a 0.34% improvement in top slots
Created a customer product sales forecaster that allocated offers based on predicted sales, achieving a 20% higher uplift compared to the baseline solution using gradient boosted trees (Spark Mllib).
Senior Research Data Scientist
Dunnhumby
07.2020 - 10.2021
Provided solutions to South Africa's largest retailer in category management and customer insights, developing customer segmentations including price sensitivity and loyalty
Developed an online pricing dashboard for the world's largest retailer, extensively used by clients to set product prices.
Senior Applied Data Scientist
Dunnhumby
07.2018 - 07.2020
Developed and deployed an acquisition recommendation engine, improving precision@k by 80% and decreasing runtime by 90%, achieving a 155% redemption rate during A/B testing
Created an offer creator tool deployed via Voila, significantly reducing the resource requirement and enabling market leads to create offers seamlessly
Deployed a DIY/Non-Food recommendation engine to production, increasing product reach by 150% and buy rate by 50% using LightGBM and ALS for candidate generation
Reduced new product recommender solution runtime from 3 days to 4 hours, optimizing Spark workflow and reducing data volume through feature selection and sampling.
Business Analyst
Analytics Quotient
09.2017 - 07.2018
Responsibilities and achievements related to this position]
Associate Consultant
Capgemini
07.2016 - 07.2017
Responsibilities and achievements related to this position]
Education
B.Tech - Chemical Engineering
Indian Institute of Technology (IIT)
Skills
Machine Learning & Data Science: Recommender Systems, NLP, Deep Learning, Supervised Learning, Unsupervised Learning
Big Data Technologies: Python, PySpark, SQL, Spark
MLOps & System Design: Docker, GitLab CI/CD, Airflow, MLflow
Other Skills: Applied Mathematics, Data Analysis, Project Management