Sheetal Mahesh
Data AnalystAI 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
Senior AI Scientist - Sahamati Labs
Passionate AI Scientist, dedicated to advancing cutting-edge artificial intelligence solutions for secure and efficient data sharing. With expertise in machine learning, deep learning, and data privacy, she is working on developing AI-driven frameworks that empower individuals and businesses while maintaining strict compliance with data protection standards. Earlier, she was an AI/ML scientist at General Motors, developing machine learning methods to create and maintain maps for use in autonomous vehicles. She is a team player who collaborates with software developers and research scientists in an agile environment. She has made significant and important contributions to a number of records of invention (patents and scientific publications). Skills: Machine Learning Toolkits / NLP / Deep Learning / Python / R / SQL
University of Southern California
Master's Degree, Data Science
January 1, 2014 – January 1, 2015
RV College Of Engineering
Bachelor's Degree, Computer Science
January 1, 2010 – January 1, 2014
Christ University, Bangalore
XI-XIIth, Science
January 1, 2008 – January 1, 2010
Sishu Griha High School
ICSE
January 1, 2008 – Present
Sahamati
Senior AI Scientist
June 1, 2026 – Present
Bengaluru, Karnataka, India
Self-employed
Independent Consultant - Sr. AI/ML Scientist
February 1, 2025 – May 1, 2026
Bengaluru, Karnataka, India · Hybrid
General Motors
Senior AI/ML Scientist in Autonomous Vehicle Development
August 1, 2022 – October 1, 2024
General Motors
AI/ML Scientist in Autonomous Vehicle Development
February 1, 2020 – August 1, 2022
General Motors
Associate AI/ML Scientist
August 1, 2017 – February 1, 2020
Cognizant
Associate - Data Scientist
February 1, 2016 – July 1, 2017
Bridgewater, New Jersey
ThinkApps
Intern
June 1, 2015 – August 1, 2015
San Francisco Bay Area
Strand Life Sciences
Project Trainee
January 1, 2014 – May 1, 2014
Bangalore
Microsoft Accelerator
Internship
July 1, 2013 – August 1, 2013
Bangalore
Indian Institute of Management, Bangalore
Internship
August 1, 2012 – September 1, 2012
Bangalore
Rakum School For Blind
Internship
July 1, 2012 – July 1, 2012
Bangalore
Samarthanam Trust for the Disabled
Internship
July 1, 2012 – July 1, 2012
Bangalore
Elevar Equity
Internship
July 1, 2011 – July 1, 2011
Bangalore
San Francisco Crime Classification
November 1, 2015 – December 1, 2015
Objective: To classify the type of crime committed in San Francisco from 2003 to 2015. The dataset was taken from an online analytic platform Kaggle. Technology: Python, Naïve Bayes, Logistic Regression, Decision Trees
AdaBoost Algorithm
November 1, 2015 – Present
Implemented AdaBoost algorithm to boost decision stump tree (depth 1 decision tree) using Python.
K-Means Clustering
October 1, 2015 – Present
Implemented K-Means clustering algorithm in n-dimensional space with Euclidean distance measure using Python.
Crawling & Deduplication
February 1, 2015 – Present
Using Apache Nutch crawled websites to collect data and remove duplicate content.
Graduate Research
January 1, 2015 – December 1, 2015
Objective: Created a home monitoring & evaluation system for patients with Parkinson's Disease using a 3D sensor. • It provided clinical feedback such as step size, swing level of hand, etc. The system demonstrated the effectiveness of our methodology, which opened the way for many related applications. Technology: Microsoft Kinect, Matlab
Logic Inference
November 1, 2014 – Present
Implemented backward-chaining (using Java) to determine whether a query can be inferred from the knowledge base.
Zillow Property Search: Android App
November 1, 2014 – Present
- Developed an Android Mobile application to fetch the property details based on the address and post results on Facebook using Android SDK, AJAX, JavaScript, PHP, JSON and XML. - The property information was fetched from Zillow.com
Adversarial Search in the Reversi game
October 1, 2014 – Present
Implemented Greedy, min-max and alpha-beta pruning (using C++) for the game of Reversi. Using these 3 algorithms the next move is determined.
Uniformed Search
September 1, 2014 – Present
Implemented Breadth First Search (BFS), Depth First Search (DFS) and Uniform Cost Search (UCS) algorithms (using C++) to find different paths from a given source to a destination.
Effect of Social Media in 2014 Elections in India
April 1, 2014 – Present
India witnessed digital campaign in its general elections for the first time. More than 400 million youth voted in India for the first time. Majority of youth in India are on social media. All political parties tried to reach out to the youth via social media. The project looked into the effect of social media in General Elections 2014 in India.
Certified SAFe 5 Agilist
SAFe by Scaled Agile, Inc.
June 24, 2026 – Present
The Data Scientist’s Toolbox
Coursera Course Certificates
June 24, 2026 – Present
Wiley Certified Applied Machine Learning Professional
Wiley
June 24, 2026 – Present
Cryptography I
Coursera
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, ranging from academic implementations of algorithms to real-world applications in autonomous vehicles, healthcare, and social media analysis, demonstrates a broad interest and adaptability. Their involvement in social impact internships (Rakum School For Blind, Samarthanam Trust for the Disabled) suggests a commitment to community and a well-rounded personality. The progression through AI/ML roles at General Motors and the independent consultant role indicate a drive for continuous learning and leadership, aligning with a culture that values innovation and growth. However, the target role of 'Data Analyst' might be a step down from their 'Senior AI Scientist' experience, potentially indicating a mismatch in career trajectory or expectations.
Soft Skills & Operational Fit
The candidate's experience as a Scrum Lead and chair for onboarding indicates strong leadership, collaboration, and communication skills. Their work on ethical and privacy-preserving AI systems suggests a thoughtful and responsible approach to problem-solving. The diverse project background, including social impact initiatives, points to adaptability and a broad perspective.