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Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Reinforcement-Learning
July 27, 2025 – August 11, 2025
Repo contains lecture notes, code examples, and interactive demos for various topics in RL and programming demonstrated in class.
View ProjectApplied-AI-Batch-A
August 8, 2024 – August 30, 2024
Repo contains lecture notes, code examples, and interactive demos for various topics in AI and programming demonstrated in class.
View Projectgraddy
March 20, 2023 – April 17, 2023
A tool for generating class activation maps in deep learning models.
View Projectml-sem5-submission
October 29, 2021 – October 30, 2021
ml-sem5-submission — GitHub repository
View Projecttechnical-indicators
October 17, 2021 – October 17, 2021
A repository for functions of technical indicators used on stocks.
View ProjectCheetahs-or-Jaguars-Image-classification
May 15, 2021 – June 8, 2021
An Image Classification Project that helps distinguish images of Cheetahs from that of Jaguars
View Projectsummarite
December 20, 2020 – May 24, 2021
A web app that summarizes long articles/texts from links
View Projectmnist-pytorch
December 19, 2020 – December 19, 2020
Feed Forward Neural Network to Classify MNIST Digits using PyTorch. Also using visdom to plot the losses in real-time
View ProjectCultural Fit Analysis
The candidate's projects are primarily academic or personal explorations in AI/ML, indicating a strong interest in the field. However, the lack of team-based projects or diverse professional experiences makes it difficult to assess cultural fit or collaboration potential. The projects align with a Data Scientist role, but the breadth of application outside of academic exercises is limited.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's project descriptions are brief, and there are no completed psychometric or English tests to provide insights into communication style or work attitude.