
Highly driven individual. Final year at VIT-Vellore. Aspiring Software Developer. Data Science enthusiast.
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Tumour-Segmentation-with-U-Net
November 5, 2024 – November 23, 2024
Tumour-Segmentation-with-U-Net — GitHub repository
View ProjectSklearn_Templates
June 28, 2024 – June 28, 2024
This is just an archive in case need to refer sklearn code for the most common ML models.
View ProjectGoogle-data-analytics-course-demonstrations
June 8, 2024 – July 9, 2024
Place holder to store the demonstrative notebook used in the Advanced Google Analytics Certification, as this content is not available forever.
View ProjectFormula1_predictions
June 4, 2024 – June 25, 2024
An attempt to create an ML model that will predict the finishing positions of drivers based on their lap times in free practice sessions and qualifying sessions. Should help strengthen core Tensorflow / PyTorch.
View ProjectACCIDENT-DETECTION
April 11, 2024 – April 21, 2024
Accident detection using a convolutional neural network.
View ProjectShort-Video-Auto-Generation
February 1, 2024 – January 30, 2025
This is an attempt to automate generation of short videos. It contains a compilation of videos from a certain subreddit merged together.
View ProjectLitCoder
November 26, 2023 – April 1, 2024
Primarily Python and C++ files for the LitCoder labs and contests.
View ProjectSignature-Forgery-Detection
March 14, 2022 – March 29, 2024
Uses TensorFlow and Opencv to implement a Convolutional Neural Network
View ProjectCultural Fit Analysis
The candidate's project portfolio indicates a strong self-starter mentality and a passion for learning new technologies, particularly in the ML/AI domain. The diversity of personal projects, from video generation to medical image segmentation, suggests a broad interest and willingness to explore different applications of data science. This aligns well with a culture that values initiative and continuous learning.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.