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Thadomal Shahani Engineering College, Bandra(W)
Data Scientist
June 14, 2026 – Present
Cardio-Care-AI-Driven-app-Solutions-for-Accurate-Cardiac-Risk-Assessment
April 30, 2025 – Present
AI-driven healthcare app for accurate cardiac risk assessment using machine learning to analyze patient data and provide real-time heart disease predictions with an intuitive mobile interface.
View ProjectObject-Detection
March 20, 2025 – March 20, 2025
This repository contains an Object Detection Web App that utilizes YOLO model trained on the BCCD Dataset (Blood Cell Count and Detection). The web app is built using Gradio and deployed on Hugging Face Spaces.
View ProjectRisk-Score-Credit-Risk-Modeling-and-PD-Estimation
February 27, 2025 – Present
Credit Risk Modeling and Probability of Default (PD) estimation system using XGBoost, Random Forest, and Logistic Regression, delivering predictive accuracy for data-driven lending decisions.
View ProjectMotionScript-Sign-Language-to-Coherent-Text-Converter
October 12, 2024 – Present
AI-powered sign language recognition app that converts hand gestures into grammatically correct text and speech using computer vision, deep learning, and NLP.
View Projectwhatsappchatanalyzer
October 6, 2024 – October 6, 2024
whatsappchatanalyzer — GitHub repository
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and academic in nature, indicating a strong drive for self-learning and exploration in Data Science. However, the lack of team-based projects or professional experience (beyond a future-dated role) makes it difficult to assess cultural fit in a collaborative, corporate environment. The diversity of project types (web apps, risk modeling, object detection, NLP) shows a broad interest, but also a potential lack of deep specialization in one area. The target role is 'Data Scientist', which aligns well with the project themes.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions suggest an ability to work on diverse technical challenges, but there is no information on collaboration, problem-solving approaches, or communication style.