
Learner and love to solve complex problems by applying domain knowledge.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Machine_Learning
January 2, 2023 – February 17, 2024
Exploring Machine learning with its supervised and unsupervised algorithm and subtypes also.. All algorithm implemented in python With proper description of each Dataset used.
View Projectmatplotlib_python
December 24, 2022 – May 22, 2024
This is all about matplotlib library and its all method which we use for visualization in graphical way.
View ProjectPandas
December 19, 2022 – January 6, 2025
The library is widely used in data science and machine learning for data cleaning, preparation, and analysis.
View ProjectNumpy
December 17, 2022 – April 4, 2023
Repository about Numpy and all its method with proper description
View Projectpython_basic
November 20, 2022 – December 29, 2023
This repository include python snippet from basic to advance. Also Added Assignment. Also detail description about each method of module used.
View Projectpython_application
October 20, 2021 – October 25, 2021
python_application — GitHub repository
View Projectlearning_c
March 3, 2021 – May 28, 2021
Repository for c program practice from basic to advance with assignment
View Projectleetcode_solution_Python
November 24, 2020 – May 31, 2024
This repository include Leetcode solution on python programming language
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and focused on foundational data science and programming concepts. While demonstrating initiative, there is no evidence of team collaboration or diverse project types that would indicate strong cultural fit for a collaborative professional environment. The projects align with the target role of Data Scientist in terms of technical focus.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.