Naga Budigam
ML EngineerAI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Agentic Engineering @ TVS Motor Company | IITH | IIMA | Ross - UMich
Naga is a data science leader with a strong track record of leading the development and deployment of cutting-edge AI products and solutions. Currently leveraging Agentic AI to enhance the customer experience, optimize the sales process, and improve market share for TVS Motor Company globally, across India and international markets. His mission is to drive innovation and excellence in data science and AI, creating value for customers, stakeholders, and society. He has built and led high-performing global teams that have delivered scalable and robust AI products and services. He is passionate about leveraging and contributing to open-source technology. He has open-sourced multiple tools and has received several awards and honors for his work.
University of Michigan - Stephen M. Ross School of Business
Global Program for Management Development (GPMD), Executive Leadership (Sponsored by TVS)
February 1, 2026 – Present
Indian Institute of Technology Hyderabad
M.Tech, Data Science
N/A – Present
RGUKT Basar
B.Tech Dual Degree, Major: Computer Science, Minor: Business Management
N/A – Present
Indian Institute of Management Ahmedabad
Exec Leadership - Emerging Leaders Program, (Sponsored by TVS)
N/A – Present
Databricks
Product Advisory Board Member
January 1, 2026 – Present
TVS Motor Company
Enterprise AI Innovation & Acceleration
April 1, 2025 – Present
TVS Motor Company
Divisional Manager - Data Science
April 1, 2024 – March 1, 2025
TVS Motor Company
Associate Divisional Manager - Data Science
April 1, 2023 – March 1, 2024
TVS Motor Company
Principal Data Scientist
April 1, 2022 – March 1, 2023
Scaler
Data Science Expert Mentor
January 1, 2021 – March 1, 2021
TVS Motor Company
Lead Data Scientist
August 1, 2020 – March 1, 2022
iNeuron.ai
Data Science Expert Mentor
May 1, 2020 – August 1, 2020
India
Scaler
Data Science Career Coach
July 1, 2019 – December 1, 2021
Career3S.com
Applied Machine Learning Course Instructor
February 1, 2019 – April 1, 2020
Tekion Corp
Data Scientist
August 1, 2018 – August 1, 2020
Bengaluru, Karnataka, India
Packt
Technical Reviewer - Machine Learning Projects using TensorFlow
July 1, 2018 – August 1, 2018
Packt
Technical Reviewer - Reinforcement Learning
June 1, 2018 – August 1, 2018
CANGRA Talents
Data Science Interview Panelist
January 1, 2018 – July 1, 2020
Verizon
Analyst
November 1, 2017 – August 1, 2018
LearnChase
Applied Machine Learning Course Instructor
October 1, 2017 – March 1, 2018
Bengaluru, Karnataka, India
Verizon
Software Engineer
August 1, 2016 – October 1, 2017
Cognizant Technology Solutions
Programmer Analyst
July 1, 2014 – July 1, 2016
Chennai Area, India
Twenty19.com
Campus Ambassador
August 1, 2013 – July 1, 2014
Basara
University of Hyderabad
Research Intern
May 1, 2013 – July 1, 2013
Greater Hyderabad Area
Question and Answering System for Restricted Domains
September 1, 2013 – June 1, 2014
The aim of this project is to provide correct responses to the questions posed by the user in a human like manner, by generating point to point and accurate answers. It can be achieved by incorporating various modules which can work on the user query and extracts the best information needed to search the answer. The scope of this project includes various application areas like Search Engines, Railways, RTC and Call centers. It can be integrated with the speech module so that one can interact with the system through the speech and can get the desired output in same the way.
Integrating Telugu Spellchecker with OpenOffice
May 1, 2013 – July 1, 2013
Developed an extension to OpenOffice, which extends functionality of the Hunspell to carry out the Telugu spell-check. It contains a word-list of 2,04,493 words and 160 affix classes with 45,478 affix rules. It can generate up to 15 possible suggestions for detected error and allows user to append words to the dictionary.
The State of AI and Copyright
June 25, 2026 – Present
Julia for Data Science
JuliaHub
June 25, 2026 – Present
Machine Learning Engineer Nano Degree
Udacity
June 25, 2026 – Present
Introduction to Julia
JuliaHub
June 25, 2026 – Present
Certified SAFe® Practitioner
SAFe by Scaled Agile, Inc.
June 25, 2026 – Present
Becoming an AI-First Product Leader
June 25, 2026 – Present
Reinforcement Learning Specialization
University of Alberta
June 25, 2026 – Present
Python (Basic) Certificate
HackerRank
June 25, 2026 – Present
Problem Solving (Basic) Certificate
HackerRank
June 25, 2026 – Present
Julia Scientific Programming
University of Cape Town
June 25, 2026 – Present
Deep Reinforcement Learning Nano Degree
Udacity
June 25, 2026 – Present
Cultural Fit Analysis
The candidate demonstrates a strong commitment to continuous learning and professional development through numerous certifications and executive leadership programs. Their diverse experience across industry (automotive, telecom), education, and mentorship roles suggests adaptability and a broad perspective. The long tenure and progression at TVS Motor Company indicate loyalty and ability to grow within an organization. The involvement in personal projects and technical reviewing roles shows initiative and a passion for the field, which aligns well with a culture of innovation and expertise.
Soft Skills & Operational Fit
The candidate's experience as a mentor and instructor (Scaler, iNeuron.ai, Career3S.com, LearnChase) suggests strong communication and teaching abilities, which are valuable for team collaboration and knowledge sharing. Their progression into leadership roles at TVS Motor Company implies strong organizational, project management, and strategic thinking skills. Participation in SAFe certification indicates familiarity with agile methodologies, which is beneficial for operational fit in dynamic environments.