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Vellore Institute of Technology
Data Scientist
June 21, 2026 – Present
Disaster-Survivor-Detection-System
April 9, 2026 – Present
A YOLOv8-powered 'eye-in-the-sky' that detects survivors at 74 FPS, optimized for real-time edge deployment on rescue drones
View ProjectReal-Time-Webcam-Depth-Map
March 31, 2026 – Present
This project turns a normal webcam feed into a live depth-style view using Intel's MiDaS model. In simple words: it estimates which parts of the scene are closer or farther, then shows that as a color heatmap.
View ProjectEntity-Recognition-for-Student-Resumes
February 23, 2026 – Present
An end-to-end Natural Language Processing (NLP) project that builds a custom Named Entity Recognition (NER) system to automatically extract structured information from student resumes.
View ProjectVendora-AI-Powered-Service-Marketplace
October 30, 2025 – Present
Vendora is a web platform connecting local service providers (barbers, mechanics, plumbers, etc.) with customers in India. Vendors create professional pages where customers can discover and book appointments. 👥 Target Users
View ProjectML-Engineering-Practice
August 11, 2025 – Present
A structured and comprehensive repository of Machine Learning and Deep Learning projects.
View ProjectData-Science-Projects
July 22, 2025 – October 9, 2025
Centralized hub of my data science projects: notebooks, scripts, and datasets with clear, repeatable workflows.
View ProjectTempestRx
April 3, 2025 – September 11, 2025
The Drug Interaction Predictor is an AI-powered tool that identifies potential risks between two medications. It determines the severity, provides explanations, and suggests safer alternatives, helping doctors, pharmacists, and patients make informed decisions. 🚀
View ProjectWeatherPlay
August 1, 2024 – August 8, 2024
A Flask-based web app that predicts match suitability using a Gaussian Naive Bayes model. It integrates a pre-trained machine learning model into a multi-page web interface with HTML and CSS
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong interest in applying data science to real-world problems, including social impact (Disaster-Survivor-Detection-System) and practical applications (TempestRx, Vendora). The diversity of projects suggests adaptability and a willingness to explore different domains. However, the candidate's experience level is listed as 0, and the only listed 'experience' is a future role, which makes it difficult to assess cultural fit in a professional setting.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions indicate a proactive approach to learning and applying various data science techniques.