
Data Science | Machine Learning | Deep Learning | Natural Language Processing | Computer Vision | LLMs
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Research-Paper-Implement
April 22, 2020 – April 24, 2020
This repositary contains all research paper which I implemented on Time series forecasting.
View ProjectMachine-learning-projects-deployment
October 31, 2019 – November 22, 2022
This repository contains machine learning model deployment into third party applications.
View ProjectMachine-Learning-Projects
July 9, 2019 – November 22, 2022
It contains some projects of machine learning, Deep learning, and Deployment as an API.
View ProjectComputer-Science-Programs
June 24, 2019 – November 3, 2019
A full list of all programs of some subjects of Computer Science of Engineering
View ProjectData-Structure-and-Algorithm-with-Python
June 10, 2019 – August 7, 2023
Collection of Data structure implementation in python from scratch + All Top LeetCode problems Easy+Medium+Hard for all topics. Spread some ❤ by giving ⭐.
View ProjectMachine-Learning-from-Scratch
April 20, 2019 – April 29, 2023
🤖 Python implementations of some of the fundamental Machine Learning models and algorithms from scratch with interactive Jupyter demos and math being explained.
View ProjectChallanges_Codes
April 20, 2019 – June 24, 2022
This repositary contains all codes of online Hackhathon or Challenges in Python language like GeeksforGeeks, HackerEarth, HackerRank and CodeChef
View ProjectPython-Beginner-to-Advance
April 8, 2019 – November 15, 2019
This repositary contains full introduction of python from beginner level to advance level
View ProjectJU-library-App
March 26, 2019 – September 14, 2019
This repositary contains all the information regarding JU Library Application
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong individual initiative in learning and implementing various technical concepts, particularly in Machine Learning and Data Structures. The diversity of projects, from core ML algorithms to deployment and competitive programming challenges, suggests a proactive and self-driven learner. However, the lack of team-based projects or professional experience makes it difficult to fully assess collaboration and broader cultural fit within a team environment. The projects align well with a Data Scientist role, indicating a focused interest in the domain.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions are brief, and there are no psychometric or English test results to evaluate communication or work attitude.