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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit

Student
Lexient-AI_Powered_Second_Brain
April 25, 2026 – Present
Lexient-AI_Powered_Second_Brain — GitHub repository
View Projectcustomer-segmentation
December 10, 2025 – December 10, 2025
customer-segmentation — GitHub repository
View Projectecellsati-website
July 6, 2025 – July 11, 2025
ecellsati-website — GitHub repository
Iris-Classification-API
June 3, 2025 – June 3, 2025
A FastAPI-based microservice for real-time Iris flower classification using a trained scikit-learn model. Dockerized for easy deployment.
View ProjectMachine-Learning-6thsem
April 24, 2025 – April 24, 2025
This repository contains a comprehensive collection of ML algorithms implemented in python. It include Find s, list then elimination, candidate elimination, supervised and unsupervised learning models such as regression , classification, clustering, and deep learning techniques. Each algorithm is well defined with sample databases and use examples.
View ProjectTrafficSignalOptimization
March 15, 2025 – Present
It is a traffic management system that uses fuzzy logic reduce waiting time.
View ProjectLead-Tracker
August 20, 2024 – August 20, 2024
This is a chrome extension that saves tabs url
View ProjectFrontend-components
March 8, 2024 – June 17, 2024
these are small projects including html css and js
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong inclination towards self-directed learning and exploration across various technical domains, including AI/ML, web development, and system optimization. This indicates a proactive and curious mindset. However, without professional experience or team-based projects, it is difficult to assess collaboration or adaptability within a structured team environment. The target role 'Student' aligns with a learning-oriented individual.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's profile primarily lists personal projects without team context or professional experience.