Passionate about technology and continuous learning. Exploring AI, data analytics, web development, and building creative projects through coding & innovation.
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Karpagam College of Engineering
Data Scientist
June 21, 2026 – Present
AI-Powered-E-waste-collection-and-recycling-platform
June 13, 2026 – Present
EcoRecycle is an AI-powered e-waste management application that helps users identify e- waste, get recycling recommendations, schedule pickups, and earn rewards. Using AI and ml, the platform promotes responsible e-waste disposal, environmental awareness, and sustainable recycling practices through a simple, smart & user-friendly mobile experience
View ProjectSnake-Ball-A-Modern-Recreation-of-the-Classic-Snake-Game
June 11, 2026 – Present
Snake-Ball-A-Modern-Recreation-of-the-Classic-Snake-Game — GitHub repository
View ProjectResume-Analysis-Using-ChromaDB
June 11, 2026 – Present
In this project, ChromaDB is used to store and analyze the resumes of three team members. The system extracts skills, education, and experience, compares profiles, identifies strengths, and provides insights for role allocation and team formation using AI-powered semantic search and retrieval.
View ProjectImage-Classification-Using-Bidirectional-RNN
June 11, 2026 – Present
In this project, a Bidirectional Recurrent Neural Network (BRNN) is used to classify images from the CIFAR-10 dataset. The model learns visual patterns by processing image data in both directions and predicts the correct object category, demonstrating deep learning and image classification techniques.
View ProjectContext-Aware-Information-Retrieval-using-RAG
June 11, 2026 – Present
In this project, a Retrieval-Augmented Generation (RAG) system combines document retrieval and AI-generated responses. It fetches relevant information from a knowledge base and generates accurate, context-aware answers using NLP and machine learning techniques.
View ProjectRNN-for-MNIST-Digit-Classification
June 11, 2026 – Present
In this project, a Recurrent Neural Network (RNN) is used to classify handwritten digits from the MNIST dataset. The model learns digit patterns from image sequences and predicts the correct class, demonstrating deep learning, training, evaluation, and performance analysis using Python and TensorFlow/Keras.
View ProjectCultural Fit Analysis
The candidate's projects show a strong inclination towards AI/ML and data science, aligning with a Data Scientist role. However, the projects are all personal and lack diversity in team collaboration or real-world business context. The experience level of 0 and a future-dated role suggest a very junior profile, which might not be a strong cultural fit for a senior-level Data Scientist position requiring immediate impact and leadership.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's experience level is listed as 0, and the only listed 'experience' is a future role as 'Data Scientist' starting in 2026, which suggests a lack of professional work experience. No psychometric test results are available.