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Using-Deep-Reinforcement-Learning-For-Imbalanced-Data-Classification
December 21, 2020 – December 21, 2020
Using-Deep-Reinforcement-Learning-For-Imbalanced-Data-Classification — GitHub repository
View ProjectFlappy-Bird-Bot--NeuroEvolution-Q-Learning-
November 16, 2019 – November 16, 2019
Flappy-Bird-Bot--NeuroEvolution-Q-Learning- — GitHub repository
View ProjectHyperclique-Pattern-Mining
October 27, 2019 – October 27, 2019
A Python Implementation Of Hyperclique Pattern Mining Paper
View ProjectContests-Kaggle_Analytics-Vidhya
September 19, 2019 – October 10, 2019
Contests-Kaggle_Analytics-Vidhya — GitHub repository
View ProjectDMG-2019-Data-Mining
September 16, 2019 – September 16, 2019
DMG-2019-Data-Mining — GitHub repository
View ProjectCSE-643-Artificial-Intelligence
September 16, 2019 – May 10, 2020
CSE-643-Artificial-Intelligence — GitHub repository
View ProjectSecure-File-Storage-Using-Hybrid-Cryptography
July 17, 2018 – July 17, 2018
A flask web app to upload, encrypt and store file using Hybrid Cryptography.
View ProjectJavaScript-Clock
March 1, 2018 – May 10, 2020
A simple Analog Clock designed in Javascript with few additional features.
View ProjectSpam-Detection
February 2, 2018 – October 27, 2018
Spam Detection with Linear Support Vector Machine and Multinomial Bayesian Classifier using Sklearn ML library.
View ProjectTicTacToe-MiniMax
February 1, 2018 – February 15, 2021
A python implementation of Tic-Tac-Toe using MiniMax Algorithm.
View ProjectCultural Fit Analysis
The candidate shows a strong initiative in personal projects, particularly in the Data Science and AI domain, which aligns with a target role in Data Science. The diversity of projects, from game AI to cryptography and spam detection, indicates a broad interest in applying technical skills. However, without professional experience or team-based projects, assessing cultural fit beyond individual drive is challenging.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's profile primarily lists technical projects without details on collaboration, problem-solving approaches, or communication in a team setting.