Computer Science and Engineering Student
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Assessing your cultural and operational fit
National Institute of Technology, Calicut
Data Scientist
June 13, 2026 – Present
deepfake-detection
January 19, 2023 – March 6, 2023
Deepfake detection based on audio-visual mismatch | B.tech capstone project
View ProjectAuto-scaling-client-server-application
November 8, 2022 – January 16, 2023
An auto scaling client server application which demonstrates cloud based server management system using libvrt API
View ProjectCIRFL
September 16, 2022 – February 21, 2023
Repository for the official site of Centre for International Relations and Foreign Languages
View Projectquery-engine
July 11, 2022 – July 11, 2022
A SQL Query engine built using python for executing various custom SQL commands
View ProjectXSM-Compiler
April 28, 2022 – April 28, 2022
A Compiler built using LEX and YACC for generating and compiling machine code written in XSM
View ProjectTnP-management-system
October 30, 2021 – November 1, 2021
TnP-management-system — GitHub repository
View Projectattendance-management-system
October 29, 2021 – December 30, 2021
attendance-management-system — GitHub repository
View ProjectWeather_App
October 9, 2021 – November 9, 2021
An Android based weather application with additional features coming soon
View ProjectCultural Fit Analysis
The candidate's projects show a broad range of interests, from web development to compilers and cloud applications. While this demonstrates versatility, the direct alignment with a 'Data Scientist' role is limited to one project ('deepfake-detection'). The current experience lists 'Data Scientist' but is a future start date, indicating no actual professional experience in the role yet. This broad, unfocused project history, combined with no professional data science experience, suggests a moderate cultural fit for a dedicated senior Data Scientist role without further validation.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The psychometric test score is 0, providing no insights.