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Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Bloch-WGAN
April 18, 2026 – Present
This repository contains the official implementation of Bloch-WGAN, a hybrid quantum-classical Wasserstein Generative Adversarial Network designed for learning quantum state distributions in Bloch space. The associated research paper is currently under review.
View ProjectData-Visualization-Case-Studies
March 18, 2026 – Present
Data-Visualization-Case-Studies — GitHub repository
View ProjectGAN
February 27, 2026 – Present
This repository contains implementation of GAN and WGAN in PyTorch.
View ProjectNotes-from-Andrej-s-Videos
January 26, 2026 – Present
Notes-from-Andrej-s-Videos — GitHub repository
View ProjectFacutlyFinder
January 13, 2026 – Present
Fetching the facutly data form the institute websites and applied preprocessing on the collected data.Stired th data in db file using sqlite3 and providing data to Data Scientist for recommendation.
View ProjectStudying-Deep-Learning-Using-Papers
December 13, 2025 – December 13, 2025
Studying-Deep-Learning-Using-Papers — GitHub repository
View ProjectDS603-Group-Project
November 30, 2025 – December 2, 2025
DS603-Group-Project — GitHub repository
View ProjectDS605-Group-Project
November 15, 2025 – November 16, 2025
DS605-Group-Project — GitHub repository
View ProjectDS604-Group-Project
November 9, 2025 – November 9, 2025
DS604-Group-Project — GitHub repository
View Projectresearch-patelkashyap
May 23, 2024 – November 9, 2025
research-patelkashyap — GitHub repository
View ProjectCultural Fit Analysis
The candidate's projects show a strong academic and research-oriented focus, particularly in deep learning and quantum machine learning. This indicates a potential fit for roles requiring continuous learning and innovation. However, the lack of team-based projects (beyond 'Group Project' titles without further detail) and professional experience makes it difficult to fully assess cultural fit in a collaborative industry setting. The projects are diverse within the realm of data science, but lack breadth in terms of different industries or application domains.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's experience level is listed as 0, and there are no completed psychometric or English tests to provide insights into work attitude, stress handling, team collaboration, or communication clarity.