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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Employee-Management-System
August 10, 2025 – August 10, 2025
Full-stack employee management app with Spring Boot, React.js, and MySQL – CRUD operations with REST API and responsive UI.
View Projectwecareforfurs
January 21, 2023 – May 30, 2023
This project aims to classify various types of dog skin diseases using deep learning models with images.
View ProjectDevOps-Notes
February 2, 2022 – February 8, 2022
This repository consists of notes for the DevOps bootcamp of Community Classroom
View ProjectLaunching_Webserver_using_TERRAFORM
August 26, 2021 – August 27, 2021
Automation using Terraform.
View ProjectDSA
August 24, 2021 – October 27, 2021
This repository consists of NOTES for the Community Classroom complete Data Structures & Algorithms Java bootcamp.
View ProjectDeploy_Jenkins_on_Docker_Container
July 13, 2021 – July 13, 2021
Deploy_Jenkins_on_Docker_Container — GitHub repository
View ProjectMulti-Node-K8s-Cluster-on-AWS
February 6, 2021 – February 15, 2021
Setting up MULTI-NODE K8s Cluster on AWS Cloud. Here, we will have a single Kubernetes master running on a node all by itself, and then two or more slaves.
View ProjectCultural Fit Analysis
The candidate's projects show a broad interest in various technical domains including DSA, DevOps, Kubernetes, and full-stack development, in addition to a data science-related project. This breadth indicates a willingness to explore different areas, which could be a positive for cultural fit in a dynamic environment. However, the lack of professional experience or detailed project descriptions makes it difficult to assess deeper alignment with specific team cultures or collaborative practices. The target role is 'Data Scientist', and while there is one relevant project, the majority of projects lean towards DevOps and general software development, suggesting a potentially broad interest rather than a focused passion for data science.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions are brief, and there are no completed psychometric or English tests to provide insights into communication or work attitude.