Python||Machine Learning || Computer Vision & NLP || Deep Learning
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Resnet18-on-Tinyimagenet
April 19, 2020 – April 19, 2020
Resnet18-on-Tinyimagenet — GitHub repository
View ProjectS-12_B-K-Means-and-Anchor-Boxes
April 19, 2020 – April 19, 2020
Applied K means to find the best Anchor Boxes For YOLO.
View ProjectApplying-Grad_CAM-
March 21, 2020 – March 22, 2020
In this repository I have applied Grad Cam Algorithm for visualizing the activation maps on CIFAR-10 dataset using Resnet18 Architecture
View ProjectWorking-of-Sigmoid-Neuron
August 26, 2019 – August 26, 2019
This repository shows the working of a sigmoid neuron from scratch (no TensorFlow or Pytorch used) in order to get the better insight about the concepts behind this fundamental unit of Deep Neural Networks.
View ProjectBasic-NLP-Techniques-Practically
July 24, 2019 – July 24, 2019
In this notebook i have shown the practical implementation of Term frequency,Type Token Ratio,Zipf's Empirical Law Practically.
View ProjectLogistic_Regression
June 30, 2019 – June 30, 2019
Applied logistic regression on the donors_choose dataset to determine if a particular project gets accepted or not.
View ProjectTSNE_for_data_visualization
June 6, 2019 – June 6, 2019
I have tried some data visualization using t-sne on Donors Choose Dataset.
View ProjectPandas_Basics
June 5, 2019 – June 5, 2019
Consist of basic operations on data using pandas library.
View ProjectExploratory_data_analysis
June 5, 2019 – July 27, 2020
Couple of exploratory data analysis techniques over the Haberman's cancer survival data set.
View ProjectCultural Fit Analysis
The candidate's projects are exclusively personal and heavily focused on foundational machine learning concepts, primarily using Jupyter Notebooks. While demonstrating initiative, there is no evidence of team collaboration, diverse project types (e.g., production systems, open-source contributions), or engagement with broader software development practices. This suggests a potential gap in experience with collaborative, production-oriented environments, which might impact cultural fit in a team requiring extensive interaction and diverse skill application beyond pure ML experimentation.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions are concise but do not provide insight into collaboration, problem-solving approach, or communication style in a team setting.