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health-intelligence-platform
January 22, 2026 – Present
An applied machine learning project demonstrating end-to-end healthcare analytics, including data ingestion, logistic regression–based risk prediction, NLP summarization of clinical notes, trend analysis, and a multi-modal inference pipeline.
View Projectproduct-discovery-chatbot
December 3, 2025 – December 5, 2025
product-discovery-chatbot — GitHub repository
View ProjectCredit-Risk-Modelling-Reinforcement-Learning
November 25, 2025 – Present
Privacy-Preserving Credit Risk Modeling using Synthetic Data, Clustering, and Reinforcement Learning
View Projectseo-content-detector
November 3, 2025 – November 3, 2025
SEO Content Quality & Duplicate Detector - ML pipeline for analyzing web content, extracting NLP features, detecting duplicates via cosine similarity, and scoring content quality with Random Forest classifier
View ProjectTechyMart-AI-Customer-Support-System-
September 3, 2025 – September 19, 2025
TechyMart-AI-Customer-Support-System- — GitHub repository
View ProjectIndustrial-Defect-Detection
August 13, 2025 – September 4, 2025
Industrial-Defect-Detection — GitHub repository
View ProjectAutomated-defect-detection-
August 1, 2025 – August 13, 2025
Automated-defect-detection- — GitHub repository
View ProjectReal-Estate
July 15, 2025 – July 30, 2025
This project aims to predict real estate prices and trends in India. It will achieve this by scraping real estate listing data from various sources and enhancing the predictions with public sentiment extracted from Twitter conversations related to real estate in India.
View ProjectAutomated-Report-Generation-System
May 14, 2025 – May 31, 2025
Automated-Report-Generation-System — GitHub repository
View Projectvectorization_python
June 10, 2024 – July 19, 2024
vectorization_python — GitHub repository
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong inclination towards personal projects, indicating self-motivation and a passion for applying machine learning. However, the lack of professional experience or team-based projects makes it difficult to assess collaboration or adaptability in a professional setting. The projects align well with a Data Scientist role, demonstrating a proactive approach to learning and application.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's project descriptions indicate an ability to conceptualize and initiate diverse technical projects.