
Vanshi Sethi
@vanshisethi
Machine learning researcher at National Institute of Technology (NIT), Silchar, who reached 92.3% accuracy in stroke gait classification.
What I'm looking for
At National Institute of Technology (NIT), Silchar, I engineered a machine learning pipeline to classify stroke patients and healthy controls using kinematic joint angle data. The models achieved 92.3% accuracy, and I used SHAP and LIME to identify pelvic rigidity and compensatory hip complexity as key prediction drivers.
At Portfolio Vibes, I built a Random Forest model for stock risk and future returns, used the Gemini API for financial-news sentiment analysis, and designed Streamlit dashboards. My projects also include a YOLOv8 model for recognizing Indian food and a portion-based nutrition calculation engine.
Experience
Work history, roles, and key accomplishments
ML Research Intern
National Institute of Technology (NIT), Silchar
Mar 2026 - Oct 2026 (7 months)
Engineered a machine learning pipeline with nested cross-validation for binary classification of stroke patients using kinematic joint angle data. Extracted non-linear complexity metrics and achieved 92.3% accuracy using Logistic Regression, Cubic SVM, and Medium NN classifiers.
Data Analyst Intern
Portfolio Vibes
Aug 2025 - Dec 2025 (4 months)
Delivered three projects including stock market price analysis, interactive dashboards, and a machine learning-based risk management system. Built a Random Forest model to predict stock risk levels and used the Gemini API for NLP sentiment analysis on financial news.
Education
Degrees, certifications, and relevant coursework
Indian Institute of Technology (IIT), Guwahati
B.Sc. (Hons.), Data Science and Artificial Intelligence
2023 -
Grade: 7.56/10
Pursuing a B.Sc. (Hons.) in Data Science and Artificial Intelligence, with a CGPA of 7.56/10 till trimester 9.
University Institute of Engineering and Technology, Kurukshetra
B.Tech, Computer Science and Engineering (AI and ML)
2023 -
Grade: 8.72/10
Pursuing a B.Tech in Computer Science and Engineering with a focus on AI and ML, maintaining a CGPA of 8.72/10 up to semester 6.
D.A.V. Public School, Kurukshetra
Class XII, CBSE Board
2022 - 2023
Grade: 94.2%
Completed Class XII under the CBSE Board with a percentage of 94.2%.
D.A.V. Public School, Kurukshetra
Class X, CBSE Board
2020 - 2021
Grade: 99.4%
Completed Class X under the CBSE Board with a percentage of 99.4%.
Infosys Springboard
Python Certification, Programming
Earned a Python Certification from Infosys Springboard.
McKinsey & Company
McKinsey Forward Program, Business
Completed the McKinsey Forward Program in June 2025.
Google Cloud Skill Boost
Generative AI Skills, Artificial Intelligence
Earned a Generative AI Skills certification from Google Cloud Skill Boost.
University of Colorado Boulder
Introduction to Computer Vision, Computer Vision
Grade: 94.37%
Completed the Introduction to Computer Vision course with a grade of 94.37%.
Imperial College London
Multivariate Calculus, Mathematics
Grade: 94.75%
Completed the Multivariate Calculus course with a grade of 94.75%.
Udacity
AWS Machine Learning Nanodegree, Machine Learning
Awarded a 100% fully-funded scholarship for the AWS Machine Learning Nanodegree after clearing technical assessments and building 2 ML projects.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Portfolio
vanshi18s.github.io/portfolio_vanshiSalary expectations
Social media
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