DEEPAK CHANDRASEKAR
Bengaluru
Summary
Data Science Lead with 16+ years of IT experience, including 10+ years in Data Science. Expertise in Machine Learning, Deep Learning, NLP, and Generative AI. Proven experience in building end-to-end data pipelines, recommendation systems, Graph Neural Networks, and LLM-based applications (RAG, LangChain). Strong track record of delivering production-grade AI solutions and driving business impact.
Overview
17
17
years of professional experience
1
1
Certification
Work History
VP / Individual Contributor
JPMC
Bengaluru
03.2025 - Current
- Project: Merchant Funded Offer (MFO)
- Built Light Ranker to enhance offer retrieval based on customer transaction history
- Developed Dense Ranker to effectively score and rank top 50 offers for improved targeting
- Delivered personalized recommendations using MAP, Precision@K, Recall@K
- Project: Doppelganger (Customer Similarity)
- Built Graph Neural Network (GNN) using DGL across 5 behavioral dimensions
- Applied TransE and cosine similarity for embedding generation
- Designed rank fusion strategy to integrate multiple models for optimized recommendations
- Developed seed quality and customer profiling metrics
Lead Data Scientist / Manager
Optum (UHG)
07.2022 - 02.2025
- Project: Dialogue Summarization
- Implemented summarization with DialogLED (Longformer) and GPT-3.5-16k, enhancing dialogue clarity
- Successfully deployed into production
- Project: Upholds Letter Generation
- Developed GPT-4-32k based RAG architecture with few-shot learning for improved context generation
- Evaluated using edit rate and ROUGE metrics
- Led development of RAG-based chatbot, integrating SOP data and chat history for responsive interactions
- Developed RAG-based chatbot using GPT-4 Turbo
- Improved claims processing efficiency
Senior Associate Consultant
PwC
02.2020 - 06.2022
- Project: Question Answering System
- Developed pipeline integrating Random Forest (paragraph classifier) and ALBERT QA model to enhance question answering capabilities
- Led implementation of semantic search functionality, improving information retrieval and user experience
- Developed embedding-based search using FastText and hashing
- Performed EDA, preprocessing, and hyperparameter tuning
- Project: signature detection and verification
- Used YOLOv5 for detection, CycleGAN for preprocessing, VGG for verification
- Deployed using Docker and Airflow
- Built Streamlit-based application for querying
Data Science Consultant
Wells Fargo
01.2014 - 01.2019
- Project: Recommendation Engine (E-commerce)
- Developed KNN-based recommendation system to enhance personalized shopping experience
- Project: Algorithmic Trading
- Created regression-based time-series forecasting models for algorithmic trading, enabling data-driven investment decisions
- Project: Credit Defaulter Prediction
- Developed Logistic Regression, Decision Tree, and Linear Regression models
- Applied GridSearchCV and validation pipelines
- Enhanced credit risk prediction accuracy through model optimization and validation techniques
Product Developer
DXC/CSC
01.2011 - 01.2014
- Designed ER and physical data models to support efficient data storage and retrieval
- Managed data modeling projects to align data architecture with business requirements
- Supported implementation, testing, and performance tuning to enhance system reliability and performance
Project Engineer
Wipro
01.2009 - 01.2011
- Executed end-to-end data migration to RBS systems, ensuring seamless integration and minimal disruption
- Led project for Lloyds Bank data migration
- Analyzed, designed, tested, deployed, and supported various processes to enhance operational workflow
Education
PGPDM - AI & ML
University of Chicago / Jigsaw Academy
01-2019
B.E - Mechanical Engineering
Anna University
01-2008
Skills
- GPT-4
- GPT-35
- Llama3
- Phi-3
- LangChain
- RAG
- LLM Fine-tuning
- Agentic AI
- LangGraph
- Python
- R
- SQL
- MySQL
- SQLite
- Regression
- Classification
- Clustering
- PCA
- Docker
- Airflow
- Kubernetes
- GitHub
- AWS
- Azure
- Tableau
- Jupyter
- SQLite
Certification
TensorFlow Developer Certification, Google
Personal Information
- Date of Birth: 11/19/86
- Gender: Male
Languages
- Tamil
- Malayalam
- English
Valid Passport
Yes (B1- US/UK visa holder)
Timeline
VP / Individual Contributor
JPMC
03.2025 - Current
Lead Data Scientist / Manager
Optum (UHG)
07.2022 - 02.2025
Senior Associate Consultant
PwC
02.2020 - 06.2022
Data Science Consultant
Wells Fargo
01.2014 - 01.2019
Product Developer
DXC/CSC
01.2011 - 01.2014
Project Engineer
Wipro
01.2009 - 01.2011
PGPDM - AI & ML
University of Chicago / Jigsaw Academy
B.E - Mechanical Engineering
Anna University