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Subclinical-Mastitis-Detection-using-Multiple-ML-Models
January 7, 2025 – January 7, 2025
This repository contains a comprehensive machine learning pipeline for detecting subclinical mastitis in dairy cows. It evaluates multiple ML models to find the best-performing approach based on milk composition, production parameters, and CMT results.
View ProjectPatient-Monitoring-System
November 25, 2024 – March 9, 2025
A project demonstrating a wearable IoT device based on the ESP32-C3, designed for patient rehabilitation. Features include accurate step counting using gyroscope data, fall detection with emergency notifications, and a web dashboard for real-time data visualization. Includes firmware, circuit schematics, and server code.
View ProjectLibrary-Management-System-OSGi-Framework
March 5, 2024 – March 5, 2024
Library-Management-System-OSGi-Framework — repository
View ProjectFullStackFables
February 10, 2024 – July 28, 2024
A collection of step-by-step guides for full-stack development using Node.js, AWS, Docker, Express, and TypeScript.
View ProjectReact-Node.js-Express-MSSQL-CRUD-Example
November 28, 2023 – December 1, 2023
Example CRUD TODO app using React, Node.js, Express, and MSSQL.
View ProjectGarment-Factory-Management-System
January 4, 2023 – January 4, 2023
Garment-Factory-Management-System — repository
View ProjectCultural Fit Analysis
The candidate shows a diverse range of personal projects, from full-stack web development to IoT and machine learning. This breadth suggests curiosity and a willingness to explore different technical domains. The 'Subclinical-Mastitis-Detection-using-Multiple-ML-Models' project directly aligns with the 'Data Scientist' target role, indicating a focused interest. The variety of technologies used across projects (JavaScript, TypeScript, C++, Java, Kotlin, Jupyter Notebook) demonstrates a broad technical curiosity, which can be a positive cultural fit for dynamic environments.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions are clear but do not provide insights into collaboration, problem-solving approaches, or communication style.