
MLE
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Explore-Libraries
May 8, 2022 – Present
Understanding and implementing NLP and CV libraries with ML standpoint.
View ProjectImage-Classification-PyTorch
July 9, 2021 – April 1, 2022
Learning and Building Convolutional Neural Networks using PyTorch
View ProjectMLWithNumpy
June 25, 2021 – July 28, 2021
A set of Notebooks to write simple and efficient ML algorithms using Numpy
View ProjectMLWithPytorch
April 6, 2021 – November 19, 2025
Objective of the repository is to learn and build machine learning models using Pytorch. 30DaysofML Using Pytorch
View ProjectPytorch-Lightning-Face-Recognition
December 15, 2020 – December 16, 2020
The Objective is to implement Siamese Network for Face Recognition using Pytorch Lightning.
View ProjectN2D-Pytorch
November 16, 2020 – November 30, 2020
Pytorch Implementation of N2D(Not Too Deep) Clustering: Using deep clustering and manifold learning to perform unsupervised learning of image clustering.
View ProjectLearning-PyTorch
July 21, 2020 – September 28, 2021
This Repository contains notebook for learning the Deep Learning Framework - PyTorch.
View ProjectSocial-DIstancing-Using-Deep-Learning-and-OpenCV
April 18, 2020 – May 28, 2020
Considering the unfortunate circumstances due to COVID-19 keeping distance from one person to another is crucial.
View ProjectComputer-Vision
January 22, 2019 – December 16, 2021
Find the implementation of Computer vision-based projects with Python, Deep Learning, and OpenCV
View ProjectUnderstanding-Search-Engine-Using-Cplusplus
February 5, 2017 – July 16, 2020
Understanding Search Engine concepts and implementing the same using C++ and STL .
View ProjectCultural Fit Analysis
The candidate's projects are exclusively personal and heavily focused on academic/learning exercises in machine learning. While this shows initiative, there is no evidence of collaborative work, open-source contributions, or diverse project types that would indicate strong cultural fit for a team-oriented or product-focused environment. The projects align with the technical domain of a Data Scientist but lack real-world application or business context.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's profile primarily showcases technical project work without details on collaboration, problem-solving approaches, or communication in a team setting.