
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
MCPServerFundamentals
December 8, 2025 – December 9, 2025
MCPServerFundamentals — GitHub repository
View ProjectWinnerPredictor
January 31, 2024 – July 28, 2024
A model is made from the data set of 950 cricket match. It can take 19 input parameters and predict the winner team.
View Project189_problems_of_Cracking_Coding_Interview_Book
January 18, 2024 – October 1, 2024
If you are a searching for Standard problems for your coding interview, you may hear the book whose name is 'Cracking Coding Interview'. There are total 189 important problems solved by JAVA. In this repo I will do these using Python
View Projectworking_with_google_Api
September 27, 2023 – September 27, 2023
working_with_google_Api — GitHub repository
View ProjectImage_classification_ANN
September 27, 2023 – September 27, 2023
Image_classification_ANN — GitHub repository
View Projectsimple_scripts_working_with_database
September 27, 2023 – September 27, 2023
simple_scripts_working_with_database — GitHub repository
View ProjectProblem_Solving_with_Python
January 8, 2023 – September 20, 2023
Here is a list of topic-wise 500+ DSA problems: - Array - Searching - Sorting - String - Recursion - Bitwise - OOP - LinkedList, - Stack-Queue which I made by collecting suggestions from different types of people, especially from Kunal Kushwaha. The problems sources: - Leetcode - GeeksforGeeks
View ProjectFaceRecognition
March 29, 2021 – March 30, 2021
This project was built to test and showcase my understanding of computer vision This project was built using OpenCV. OpenCV, face_recognition, Numpy, OS library are used in this project. In this project, we use the OpenCV library of python which is used for analyzing all types of images and videos. From the OpenCV library imread(), imshow(),imwrite(),cvtColor(),waitkey(),resize(),destroyAllWindows() etc functions are used. Many mathematical functions from numpy library are used for this project. face_recognition is a simple library which have been used in this project including functions like - face_encodings(),face_locations(),compare_faces(),face_distance() etc.It is used for real-time face recognition and it is built using a deep learning model of Geitgey. The os module of python is used for interacting with the operating system.
View ProjectCultural Fit Analysis
The candidate shows a strong inclination towards self-learning and personal project development, which can be a positive indicator for initiative. The diversity of projects, ranging from DSA to web development and machine learning, suggests a broad technical curiosity. However, the lack of team projects or professional experience makes it difficult to fully assess cultural fit, especially regarding collaboration and adaptability in a structured environment. The target role is Data Scientist, and while there are relevant projects, the overall breadth might indicate a less focused approach, or a candidate still exploring different domains.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions are primarily technical and do not provide insights into collaboration, communication, or problem-solving approaches in a team setting.