kishu kumar
Data Scientist#Software_Engineer
IndiaMember since June 14, 2026
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
#Software_Engineer
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
bloggera_frontend
July 17, 2025 – Present
Bloggera is a clean and modern blogging Web-App .Built with React_Js &TailwindCss—
View Projecttailwind-css
July 11, 2025 – July 12, 2025
Learning tailwind with framework - Next from scratch .
View Projectcinevault-frontend
May 28, 2025 – May 28, 2025
🎬 CineVault Frontend A responsive frontend web app for the Movie Store API, built with HTML, CSS, and JavaScript. It allows users to browse, search, filter, sort, and paginate through movie listings fetched from a RESTful backend (Node.js, Express, MongoDB). Designed for clean user experience and seamless API integration.
View Projectcinevault-api
May 27, 2025 – May 28, 2025
A full-featured Movie Store REST API built using Express.js and Mongoose. Supports CRUD operations, advanced querying, filtering, sorting, and pagination for managing movie records.
View ProjectDSA
December 31, 2024 – Present
This Repository contains all code_solutions that i have been written during my learning period of DataStructures & Algorithms
View ProjectMERN_Development
November 27, 2024 – June 14, 2025
This contains all my MERN Practical learnings with assignments for each Topics Indepth.....
View ProjectCultural Fit Analysis
The candidate shows a diverse interest in personal projects ranging from web development (MERN stack, React, Tailwind CSS) to AI/ML and DSA. This breadth indicates a curious and self-motivated individual. However, the majority of projects are web development focused, while the target role is 'Data Scientist'. This suggests a potential misalignment in primary focus, though the AI projects are a positive indicator. The lack of team-based projects or detailed descriptions makes it difficult to assess collaboration or broader cultural fit.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions are brief, and no psychometric test results are available.