Product-focused technology leader with 16+ years of experience spanning AI/ML, Generative AI, and Academic Program Management. Currently working as a Lead Data Scientist, driving end-to-end delivery of AI-powered products in healthcare, insurance, and consulting domains. Certified AI Product Manager (Udacity) with proven expertise in Agentic AI, Generative AI, and LLM-driven solutions. Adept at bridging business needs and technical execution, defining product strategy, and leading cross-functional teams using Agile/Scrum and Jira methodologies.
Overview
15
15
years of professional experience
1
1
Certification
Work History
Lead – Data Scientist (AI/ML Product Delivery)
EXL (Inductis India Pvt Ltd)
12.2021 - 01.2025
Roles and Responsibilities:
Defined product roadmaps and translated business requirements into AI/ML-powered solutions including claim summarization, bid management, and GenAI chatbots.
Applied Agentic AI ( LangGraph, Crew AI) & Generative AI frameworks (RAG pipelines, LLM orchestration with LangChain/LlamaIndex) , Deep Learning (Tensorflow and pytorch) and CNN to design scalable enterprise solutions.
Partnered with business stakeholders, engineers, and clients to prioritize features, manage backlogs in Jira, and track delivery through Agile ceremonies.
Designed KPIs, dashboards, and storytelling sessions to measure product success and communicate insights to executive leadership.
Delivered multiple POCs into production, ensuring alignment with client goals and demonstrating strong product ownership mindset.
Owned end-to-end product lifecycle for multiple AI/GenAI initiatives including claim summarization, bid management system, and financial chatbots on cloud deployment.
Gathered and translated business requirements into clear product roadmaps, user stories, and acceptance criteria.
Partnered with business leaders, clients, and engineering teams to prioritize features, groom Jira backlogs, and manage sprint planning.
Defined KPIs, created dashboards, and provided executive-level reporting to monitor product performance.
Championed stakeholder alignment by facilitating weekly storytelling sessions and collecting feedback loops.
Delivered POCs and scaled them into production-ready solutions, driving efficiency in healthcare, insurance, and consulting projects.Anticipated key milestones in advance to enhance project timelines.
Analyzed existing software for optimization opportunities in upcoming releases.
Identified technical limitations contributing to strategic application optimization.
Authored maintenance guides for application to optimize user experience.
Coordinated quality testing with assurance team and partnered on resolving defects.
Project for Health Care:
Claims Summarization and Question Answering Bot using GenAI.
Project for Consulting Firm:
Bid Management System using GenAI.
Chatbot for financial firm.
personal Assistant for Marketing Strategies and sales portfolio
Projects for Home Insurance:
Building Segmentation, Roof Segmentation, Roof Classification, and Material Detection.
GIS & AI Expert
Vibrant - Ernst & Young
04.2021 - 11.2021
Roles and Responsibilities:
Requirement gathering to solve the business problem.
Cleaning of large datasets to provide strategic direction to the project.
Used Different spatial formats like KMZ and KML.
Used queries to extract India geographic data and display the data on the map.
Performing geographic data analysis, data conversion, and data management.
Designing the Agriculture map using folium, IPyWidgets, Open Layers, QGIS, and leaflet library.
Designing of different workflows to meet business needs.
Development and deployment of multiple models by deep learning frameworks and algorithms on premises.
Developed Proof of Concepts (POC) for agriculture department of India.
Programming in python to develop a machine learning algorithm and API.
A/B Testing and Integration testing of different versions of models coded in python.
Testing and debugging of programs.
Resolved bugs, improved operations, and provided client support.
Presentations, documentation, testing, implementation and user support for client reporting.
Projects for Agriculture Department of India:
Machine Learning (Time Series forecasting) for crops. • Plagiarism Detection using Natural Language Processing. • GIS map creation for Disease Surveillance. • AIML techniques on Plant Pathology & Live stocks.
Communicated with clients, determining project objectives, gathering data and providing project updates.
AI Engineer/ Data Analyst
CE Info Systems Limited, MapmyIndia
08.2019 - 01.2021
Gathered business requirements by collaborating with teams.
Conducted research for comprehensive understanding.
Cleaning Large Datasets: Processed and cleaned data to ensure accuracy and relevance.
Prepared datasets for strategic project direction.
Workflow Adaptation: Customized and designed workflows to align with business needs.
Improved efficiency and effectiveness of processes.
Deep Learning Model Development: Designed and developed models by using deep learning frameworks like tensorflow, keras and pytorch.
Utilized GPU machines for improved model performance.
Proof of Concept (POC) Development: Translated business questions into actionable POCs.
Demonstrated feasibility and impact of proposed solutions.
Python Coding for ML and APis: Coded machine learning algorithms and APis in Python.
Developed solutions for data analysis and integration.
Unit and Integration Testing: Conducted tests on models for quality assurance.
Ensured smooth interaction between components.
Testing and Debugging: Identified and resolved system issues and anomalies.Ensured programmed functionality and stability of solutions.
Problem Resolution and Client Support: Provided in-house support to address client concerns.
Enhanced operations and user satisfaction.
Analysis and Documentation: Analyzed system performance and documented findings.
Supported knowledge sharing and future reference.
Platform Transition Support: Assisted in platform transitions, ensuring minimal disruption.
Provided user support for successful implementation.
Projects for inhouse client:
License Plate Detection, Recognition (OCR), and Blurring with Single and batch APIs on server-side deployment and Automation.
Land Cover / Land Use classification for Green Areas, Water Bodies, and Waste land.
Building footprints detection and Road Footprints (Image classification and Segmentation) through satellite images with REST APIs deployment and Automation.
Building height measurement by using sun shadow.
Face Detection, Face blurring with Single and batch APIs on server-side deployment and Automation.
Data Analyst
Palin technologies
01.2017 - 12.2018
Requirement Gathering which was analysing extensive datasets using tools like Python.
R, SAS, and Tableau to gain insights guiding the project's strategic path.
These insights are translated into valuable risk management strategies.
Designing for creating customer satisfaction reports through Python-based sentiment analysis and crafting compelling visual narratives using tools like Tableau, Python Libraries and R.
The identification of opportunities within complex datasets shapes growth-oriented data-driven strategies.
Developing for the implementation of supervised and unsupervised algorithms, such as Linear/Logistic Regression.
Time Series Forecasting, and Natural Language Processing (NLP) techniques using Python.
Coding for using analytical tools such as Python, R, SAS, and Tableau to extract insights from datasets, particularly related to customer sentiment and behavior Algorithms like Linear/Logistic Regression, Clustering, and Decision Trees are also applied Programming further integrates Python, R, SAS, and Tableau to gain strategic insights and create impactful visualizations for business proposals.
Both supervised and unsupervised algorithms play a role in this phase.
Debugging was on identifying and resolving programming bugs to enhance system performance, ensuring data accuracy by meticulously compiling and validating data, and presenting structured data solutions to clients.
Testing of data accuracy, conducts thorough A/B testing and integration testing of various model versions, and enhances program operations by identifying and resolving programming bugs while providing essential client support.
Projects:
Text Classification, Sentiment Analysis & Text Summarization.
Credit Card Fraud Detection.
Loan and Salary prediction.
Program Manager and Assistant Professor
SDDGPI
08.2011 - 11.2016
Directed academic operations for 14 institutes, leading curriculum planning, admissions, and faculty management.
Designed and executed large-scale projects (curriculum delivery, admissions cycles, community engagement programs).
Defined goals, tracked progress, and reported outcomes to senior leadership.
Supervised cross-functional teams of teachers, telecallers, and coordinators, ensuring smooth program execution.
Experience here reflects project/program management, stakeholder handling, and team leadership, directly transferable to IT product roles.
Lecturer
M.M University
08.2009 - 07.2011
Education
MBA - Information Technology
NMIMS
Mumbai, India
12-2026
Master of Science - Information Technology
KSOU
Mysore, India
08-2013
Bachelor of Science - Computer Engineering
Kurukshetra University
Kurukshetra, India
08-2008
Skills
Product Management: Product Roadmapping, User Story Mapping, Backlog Grooming, Agile/Scrum, Jira
AI Product Expertise: Agentic AI(Crewai, Langgraph), Generative AI (LLMs, RAG, Prompt Engineering), AI Product Lifecycle, Deep Learning(Tensorflow, Pytorch, Keras)