Computer Science & Engineering
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Assessing your cultural and operational fit
National Institute of Technology
Data Scientist
June 24, 2026 – Present
FullStackLearning
November 19, 2021 – November 19, 2021
FullStackLearning — GitHub repository
View ProjectMicroMouse-based-on-A-pathfinding-Algorithm
February 10, 2021 – February 10, 2021
MicroMouse-based-on-A-pathfinding-Algorithm — GitHub repository
View ProjectCreating-a-Registration-and-Login-System-with-PHP-and-MySQL
December 5, 2020 – December 5, 2020
Connecting Frontend and Backend Using Xampp
View ProjectHouse-Sales_in_king_county
February 4, 2020 – February 4, 2020
House-Sales_in_king_county — GitHub repository
View ProjectYouTube-Recommender-System
February 4, 2020 – February 4, 2020
A recommender system, or a recommendation system (sometimes replacing 'system' with a synonym such as platform or engine), is a subclass of information filtering system that seeks to predict the "rating" or "preference" a user would give to an item.They are primarily used in commercial applications.
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a focus on personal learning and exploration across various technical areas, including data science, web development (PHP/MySQL), and algorithms. This indicates a self-starter mentality. However, the projects are primarily personal and lack detailed descriptions of collaboration or impact, making it difficult to fully assess cultural fit in a team-oriented professional environment. The single listed 'experience' as a Data Scientist at National Institute of Technology with a future start date and no end date, marked as current, is unusual and lacks detail, making it hard to evaluate professional alignment.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The psychometric test score is 0, providing no insights.