A Third Year Computer Science student who's a team-oriented individual with strong research and statistical analysis skills, interested in the field of ML.
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Shreyas-Vedpathak-HP-ML-Hackathon
June 6, 2022 – June 6, 2022
This repository contains my submission to HP Machine Learning Online Hackathon 2022.
View Projectloan-management-api
July 8, 2021 – August 10, 2021
loan-management-api — GitHub repository
View Projectshreyasvedpathak.github.io
June 26, 2021 – September 2, 2022
shreyasvedpathak.github.io — GitHub repository
View ProjectNano-Satellite
May 1, 2021 – June 16, 2021
Object Detection & Image Segmentation on Satellite Images
View ProjectGenerative-Adversarial-Networks
February 27, 2021 – June 22, 2021
The DeepLearning.AI Generative Adversarial Networks GANs Specialization provides an exciting introduction to image generation with GANs, charting a path from foundational concepts to advanced techniques through an easy-to-understand approach. It also covers social implications, including bias in ML and the ways to detect it, privacy preservation, and more. Build a comprehensive knowledge base and gain hands-on experience in GANs. Train your own model using PyTorch, use it to create images, and evaluate a variety of advanced GANs.
View ProjectData-Structure-Python
January 30, 2021 – June 21, 2021
This repository contains my implementation for performing Searching and Sorting Algorithms as well as the implementation of basic Data Structures in Python 3.
View ProjectTensorflow-Advanced-Techniques-Solutions
January 13, 2021 – June 22, 2021
This repository contains my solutions for the Coursera course TensorFlow: Advanced Techniques Specialization. Expand your knowledge of the Functional API and build exotic non-sequential model types. Learn how to optimize training in different environments with multiple processors and chip types and get introduced to advanced computer vision scenarios such as object detection, image segmentation, and interpreting convolutions. Explore generative deep learning including the ways AIs can create new content from Style Transfer to Auto Encoding, VAEs, and GANs.
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and academic in nature, focusing heavily on machine learning and deep learning. While this aligns with a Data Scientist role, the lack of diverse project types (e.g., collaborative, production-oriented, or business-focused applications) and professional experience limits the assessment of cultural fit for a senior role. The projects indicate a strong learning orientation but do not provide insight into team collaboration or real-world problem-solving in a professional setting.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.