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Computer Science AI/ML @ Stanford | Passionate about AI/ML, SWE, Education and Social Entrepreneurship
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Stanford University
Data Scientist
June 29, 2026 – Present
Classifying-Parkinsons-EEG
December 22, 2025 – December 22, 2025
This project classifies Parkinson’s Disease (PD) from healthy controls using routine EEG signals and machine learning (ML) models, leveraging the unique neural oscillatory patterns associated with PD.
View ProjectFishDetection
September 18, 2024 – December 22, 2025
Evaluated Transfer Learning as an effective tool to detect fish in Ozfish by comparing a pretrained YOLOv7 model, transfer learning model with different amounts of data, and a model trained from scratch on Ozfish.
View Projectcs231n-fish-detection
May 14, 2024 – September 11, 2024
cs231n-fish-detection — GitHub repository
View ProjectPopularity-of-Hiphop-Artists
December 11, 2023 – December 22, 2025
Used Spotify API, Musixmatch API, Wikipedia webscraping, and scikit-learn machine learning algorithms to train a classifier model predicting emerging hip hop artists’ popularity.
View Projectworksheets
July 1, 2023 – July 1, 2023
Web App to access worksheets aligned with Telangana's Primary Education Syllabus
View ProjectCultural Fit Analysis
The candidate's projects show a strong inclination towards data science and machine learning, which aligns with a Data Scientist role. However, the experience level is listed as 0, and the only listed 'experience' is a future role at Stanford University starting in 2026, which suggests a very early career stage or student status. This might indicate a mismatch for a senior-level Data Scientist role requiring immediate impact and extensive professional experience. The diversity of projects (hip-hop popularity, Parkinson's classification, fish detection) indicates a broad interest in applying data science techniques.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.