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GOREST---API-AUTOMATION
February 5, 2026 – Present
GOREST---API-AUTOMATION — GitHub repository
View ProjectSmart-Community-Health-Monitoring-and-Early-Warning-System-for-Water-Borne-Diseases
January 13, 2026 – Present
Smart-Community-Health-Monitoring-and-Early-Warning-System-for-Water-Borne-Diseases — GitHub repository
View ProjectThe-AI-Driven-Crop-Disease-Prediction-and-Management-System-
August 19, 2025 – December 3, 2025
The-AI-Driven-Crop-Disease-Prediction-and-Management-System- — GitHub repository
View ProjectSentinelNet
August 18, 2025 – November 23, 2025
The goal of this project is to develop an AI-powered Network Intrusion Detection System (NIDS) capable of identifying malicious network trafic and cyber-attacks in real time. By leveraging machine learning techniques, the system will classify trafic as normal or suspicious based on historical data.
View ProjectJute-Pest-Classification
August 10, 2025 – August 10, 2025
Jute-Pest-Classification — GitHub repository
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong inclination towards personal projects, indicating self-motivation and a proactive learning approach. However, the diversity of technologies across projects (Python, C++, JavaScript, Java, RobotFramework, Dockerfile, HTML, CSS, Powershell, TypeScript) suggests a broad but potentially shallow engagement with each, rather than deep specialization in data science. The 'experienceLevel' is 0, which, combined with the project types, suggests an entry-level or junior profile rather than a senior Data Scientist role. The target role 'Data Scientist' is partially aligned with some AI/ML projects, but the overall breadth of technologies and lack of specific data science tools (e.g., advanced ML libraries, big data tools, cloud platforms) in the project descriptions indicates a potential mismatch for a senior role.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback are available.