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Nisar-data-processing
April 15, 2026 – Present
This project processes NISAR Level-2 Geocoded Polarimetric Covariance (GCOV) data to detect water and vegetation using SAR backscatter, filtering, thresholding, and K-Means clustering.
View ProjectASK_Chipathon_and_Knowledge_Hub
March 27, 2026 – Present
ASK_Chipathon_and_Knowledge_Hub is a two-part project that combines a documentation-driven knowledge base with an RAG AI-powered question answering system for Chipathon and OpenROAD learning resources.
Chitathon_Knowledge_Hub
March 20, 2026 – Present
Chipathon Knowledge Hub is a structured documentation platform designed to help participants understand, implement, and debug OpenROAD-based chip design flows. It provides guides, debugging playbooks, artifact explanations, and chatbot support for quick assistance.
View ProjectANPR-ATCC-Infosys
October 13, 2025 – November 20, 2025
Automatic Number Plate Recognition (ANPR) & Traffic Classification (ATCC) system using YOLOv10 and Tesseract OCR. Real-time vehicle detection, license plate extraction, and data storage in SQLite. Infosys Springboard Project.
View ProjectCarClaimAssistant
October 12, 2025 – October 12, 2025
A self-contained ML app built with Streamlit and TensorFlow to assist Chubb agents in car insurance claim assessments. It predicts claim urgency and generates an Overall Triage Severity score (Low, Medium, High) from car damage data, enabling faster resource allocation and precise adjuster assignment for high-risk cases.
View ProjectTwitter-Sentiment-Investing-Strategy
October 7, 2025 – October 7, 2025
Twitter-Sentiment-Investing-Strategy — GitHub repository
View ProjectGitaGPT
July 23, 2025 – Present
A Streamlit-powered conversational AI that offers philosophical guidance and a space for reflection based on the timeless wisdom of the Bhagavad Gita.
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong inclination towards personal projects, many of which are related to AI/ML and data science. This indicates a passion for the field and a self-starter mentality. However, the lack of team-based projects or professional experience makes it difficult to assess collaboration and broader cultural fit within an organizational setting. The projects are diverse in application, from computer vision to NLP and predictive analytics, suggesting adaptability and a broad interest in data science challenges.
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 new technologies, which suggests a degree of self-motivation and problem-solving ability.