AI is analyzing your overall score…

Identifying your key strengths…

Evaluating your skill match against the job requirements…

Key Strengths

Demonstrated interest in Data Science and AI/ML through projects like 'multi-task-u-net-for-classification-and-segmentation' and 'From-Scratch' (AI Model Skeletons).
Experience with Jupyter Notebook, indicating familiarity with data exploration and model development environments.
Exposure to decentralized systems and blockchain technologies, which could be an asset in specific data science applications (e.g., secure data sharing, federated learning).

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects show a diverse interest in web development, blockchain, and data science. While the target role is Data Scientist, a significant portion of projects are outside core data science, suggesting a broad technical curiosity. The current experience as a Data Scientist at Hubxpert aligns with the target role, but without further details on responsibilities, it's hard to gauge the depth of fit. The lack of detailed project descriptions makes it difficult to assess collaboration or problem-solving approaches.

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. The candidate's project descriptions are brief, and no psychometric or English test scores are available.

AI is analyzing your overall score…

Identifying your key strengths…

Evaluating your skill match against the job requirements…

Nihal Islam

Data Scientist

https://www.opentalent.in/nihal-islam

while (true)

Hubxpert

Dhaka, Bihar, IndiaMember since June 22, 2026

https://www.opentalent.in/nihal-islam

Top Skills

Jupyter NotebookJavaScriptPythonDockerfileShellCSSHTMLSCSSEJSSolidity

Skills

Jupyter NotebookJavaScriptPythonDockerfileShellCSSHTMLSCSSEJSSolidity

Experience

Hubxpert

Data Scientist

June 22, 2026 – Present

Projects

Decentralized-Identity-System

April 26, 2026 – Present

Decentralized-Identity-System — repository

View Project

multi-task-u-net-for-classification-and-segmentation

May 15, 2025 – May 15, 2025

Breast cancer type classification and segmentation using multi-task u-net model

View Project

Cryptographic-EHR-System

Blockchain-Based-Fake-Product-Identification

November 14, 2024 – July 8, 2025

Decentralized product authenticity validation application using Ethereum blockchain.

View Project

BUOCA_IntraHacktive_T2

November 7, 2024 – November 13, 2024

Office of Co-curricular Activities management system built with MERN stack and APIs such as WebSocket, NodeMailer, ChartJS to handle different functionalities.

View Project

Decentralized-Federated-Access-Control

October 6, 2024 – June 5, 2025

A Federated Access Control (FAC) Framework for Secure AI Model Management in Decentralised Financial Systems

View Project

Online-Movie-Ticket-Purchasing-System

August 11, 2024 – September 13, 2024

Full Stack web application using NodeJS, ReactJS and MySQL with basic CRUD operations.

View Project

Key Strengths

Demonstrated interest in Data Science and AI/ML through projects like 'multi-task-u-net-for-classification-and-segmentation' and 'From-Scratch' (AI Model Skeletons).
Experience with Jupyter Notebook, indicating familiarity with data exploration and model development environments.
Exposure to decentralized systems and blockchain technologies, which could be an asset in specific data science applications (e.g., secure data sharing, federated learning).

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. The candidate's project descriptions are brief, and no psychometric or English test scores are available.