Student|Tech Enthusiast|Machine Learning|Web-Developer|Explorer
AI is analyzing your overall score…
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
@Nuvama Wealth @IEEE-SRM-Student-Branch @SRM-eClub @nit-karnataka @nitcalicut @Samsung @SRM-IST-KTR
Student
June 12, 2026 – Present
Risk-modelling-urban-infrastructure
June 1, 2026 – Present
Risk-modelling-urban-infrastructure — GitHub repository
View ProjectXAI-Insurance-Major-Project
May 31, 2026 – Present
XAI-Insurance-Major-Project — GitHub repository
View ProjectDynamic-Surge-Pricing-Optimization-Ride-hailing-Mobility
March 29, 2025 – March 29, 2025
Dynamic-Surge-Pricing-Optimization-Ride-hailing-Mobility — GitHub repository
View ProjectBrain-Tumor-EDA-with-Animation--3D-Modeling
June 8, 2024 – July 2, 2024
Brain-Tumor-EDA-with-Animation--3D-Modeling — GitHub repository
View ProjectSemantic-Segmentation-of-Underwater-Imagery-using-YOLOv8
June 5, 2024 – June 6, 2024
Semantic-Segmentation-of-Underwater-Imagery-using-YOLOv8 — GitHub repository
View ProjectIntroduction-to-Pandas-_-Leetcode-Solutions
March 3, 2024 – March 3, 2024
Introduction-to-Pandas-_-Leetcode-Solutions — GitHub repository
View ProjectChatting-Sites-w-Bot
March 1, 2024 – March 1, 2024
Chatting-Sites-w-Bot — GitHub repository
View ProjectMachine-Learning-Based-Robot
February 26, 2024 – March 4, 2024
Machine-Learning-Based-Robot — GitHub repository
View ProjectMorse_Code_Generator
February 23, 2024 – February 26, 2024
Morse_Code_Generator — GitHub repository
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a diverse interest in various technical areas, including machine learning, web development, and data analysis. This breadth suggests adaptability and a willingness to explore different domains. However, without professional experience or detailed project descriptions, it is difficult to fully assess cultural fit beyond technical curiosity.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's experience is primarily academic and project-based, with no detailed descriptions of collaboration or problem-solving in a professional setting.