Summary
Overview
Work History
Education
Skills
Certification
Timeline
Generic
Divya Gupta

Divya Gupta

GURGAON

Summary

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)
  • Technical Stack: Hugging Face (BERT, RoBERTa, T5, FinBERT), LangChain, LangSmith, LlamaIndex, Vector DBs (Pinecone, FAISS, Chroma),CNN, VAE, GAN, API, Image Processing, Computer Vision
  • Cloud & Tools: AWS SageMaker, Bedrock, Textract, lambda GCP, Vertex AI, Docker, GitHub, Gitlab, MlFlow
  • Data & Visualization: Python, SQL, Tableau, PowerBI, GIS Tools (ArcMap, QGIS)
  • Leadership & Strategy: Stakeholder Management, Market Research, Business Requirement Gathering, Cross-functional Team Leadership

Certification

  • AI Product Manager – Udacity
  • Agentic AI - Udacity
  • Generative AI - Udacity
  • Six Sigma: Green Belt (PMI)
  • Agile Project Management
  • Advanced Prompt Engineering (LinkedIn)
  • Fraud Detection on Financial Transactions with Machine Learning (Google Cloud)
  • Certificate of Completion - Compute Technical Curriculum, NVIDIA
  • Vertex Pipelines, Coursera
  • Deploy ML Models on AWS Cloud (Coursera)
  • Storytelling with Data (EXL)


Timeline

Lead – Data Scientist (AI/ML Product Delivery)

EXL (Inductis India Pvt Ltd)
12.2021 - 01.2025

GIS & AI Expert

Vibrant - Ernst & Young
04.2021 - 11.2021

AI Engineer/ Data Analyst

CE Info Systems Limited, MapmyIndia
08.2019 - 01.2021

Data Analyst

Palin technologies
01.2017 - 12.2018

Program Manager and Assistant Professor

SDDGPI
08.2011 - 11.2016

Lecturer

M.M University
08.2009 - 07.2011

MBA - Information Technology

NMIMS

Master of Science - Information Technology

KSOU

Bachelor of Science - Computer Engineering

Kurukshetra University
Divya Gupta