- Led Machine Learning Industrialization for a Major Automotive Company: Refactored the ML codebase to incorporate industry best practices, developed integration tests, implemented metric tracking using MLflow, and designed APIs with FastAPI to ensure scalable and efficient deployment.- Optimized Predictive Modeling for a Leading Automotive Wholesaler: Directed the improvement of the "days-to-sell" prediction model leveraging demographic, dealer, and inventory-specific features, resulting in a 10% performance increase over the company’s baseline model.- Delivered Actionable Insights for a Major Transportation Firm: Developed data-driven insights to enhance client sales discussions by creating innovative KPIs and client benchmarks integrated into a vehicle fleet management dashboard.- Pioneered a Generative AI Pharmacy Assistant for a Grocery Giant: Designed a proof of concept (POC) chatbot using LangChain and Streamlit for the frontend, which secured full project funding to advance the solution to production.- Created Generative AI solutions for Offer Personalization: Built a POC content studio app with DALL·E and LangChain/OpenAI to create personalized offer cards, alongside an offer assistant chatbot for engaging customers through tailored email campaigns.- Spearheaded Reinforcement Learning Projects for Personalization: Served as technical lead, delivering reinforcement learning-based sales demonstrations, enhancing offer personalization systems, and driving codebase improvements.

General data science in the realm of marketing tech.Data QA, debugging, troubleshooting in a production system that sends millions of personalized mobile offers to Fortune 500 company customers per week.Liaising with clients to improve the quality of their loyalty programs.Developed reinforcement learning models to improve offer personalization.Refined strategies for measurement and experimental design to better diagnose the health and profitability of our loyalty programs

Teaching and course development on a machine learning and big data technologies course in which students learned about basic data analysis and machine learning models in python, mapreduce using Hadoop streaming with Python, and data processing using Apache Hive and Apache Pig.

Data analytics in the realm of e-commerce and journalism.Instructor for the DS12 residency program:- Created and taught machine learning course with tutorials using Scala and Apache Spark- Managed a six-student project where they built a graph layer to ingest Google Waze events.- Developed a model using bayesian graphical networks and belief propagation to predict the likelihood of accidents/traffic jams using Google Waze data. - Developed small scale models for product demos. - Gave regular technical presentations to a high level audience.

Performed data ETL using Spark. Did projects in Hive, Pig,Impala, MapReduce in java and python using Hadoop streaming. Constructed data pipelines using Flume, Kafka and sqoop.

- Taught a data science class with a focus on machine learning techniques using Python. -Students learnt about web scraping, data wrangling using the Pandas library, natural language processing using the NLTK library. We hacked on the MIT reality mining dataset and each student had to build a non-trivial twitter bot.- Developed model using regression, clustering and decisions trees. I have worked on a large education data set to model undergraduate students who are at risk to switch majors out of the math department.

- Research on neutrino physics and dark matter. Used optimization algorithms and solved coupled differential equations, machine learning algorithms for particle identification in the experiment detectors.

Researched neutrino physics models, dark matter and cosmology- Mathematical modeling- Multiple journal and conference publications- Assisted on courses on physics and astronomy