Yasin Islam

Data Scientist

https://talent.gravityer.com/yasin-islam

*intense keyboard clicks*

Member since June 21, 2026

Key Strengths

Demonstrated proficiency in Python for data science and machine learning tasks.
Experience with various machine learning models including CNNs and ResNet50 for image classification.
Practical application of AI in computer vision (Lumina-Foundation-Shade-Identifier) and medical diagnostics (NeuroDiagnose-Health-Diagnostic-Dashboard).
Experience with data cleaning and analysis tools (TidyPeek).
Exposure to full-stack development concepts with Python (Flask) and Java.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects demonstrate a strong interest in AI/ML applications, which aligns with a Data Scientist role. The diversity of projects (computer vision, medical diagnostics, data utility tools, forecasting) indicates a proactive and curious individual. However, the projects are all personal, which might suggest limited experience in collaborative, production-grade team environments. The lack of professional experience or team projects makes it difficult to fully assess cultural fit.

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.

AI is analyzing your overall score…

Identifying your key strengths…

Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Projects

Temperature_Forecast_Dhaka

June 5, 2026 – Present

A production ready model to predict 24 hour peak day time temperature within Dhaka, Bangladesh.

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TidyPeek

April 22, 2026 – Present

TidyPeek is a lightweight command-line tool for fast CSV sanity checks. It analyzes dataset structure, detects missing values, duplicates, and likely identifier columns, and provides actionable insights to help users quickly understand and clean their data.

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Lumina-Foundation-Shade-Identifier

March 9, 2026 – Present

An AI-powered computer vision pipeline that extracts human skin tones and calculates the mathematically perfect foundation makeup match using LAB color space and Delta-E distance.

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NeuroDiagnose-Health-Diagnostic-Dashboard

February 4, 2026 – Present

NeuroDiagnose: AI-Powered Medical Dashboard A full-stack diagnostic application leveraging custom CNNs, and ResNet50 (Transfer Learning) to detect Diabetes, Pneumonia, and Brain Tumors. Features Test-Time Augmentation (TTA) and a Streamlit interface.

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antarctic-field-log

January 28, 2026 – Present

A full-stack field data application that integrates a Java (CLI) frontend with a Python (Flask) Machine Learning backend.

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super-server

January 14, 2026 – Present

My first Spring-Boot app

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Yasliu

January 8, 2026 – Present

Yasliu — repository

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Key Strengths

Demonstrated proficiency in Python for data science and machine learning tasks.
Experience with various machine learning models including CNNs and ResNet50 for image classification.
Practical application of AI in computer vision (Lumina-Foundation-Shade-Identifier) and medical diagnostics (NeuroDiagnose-Health-Diagnostic-Dashboard).
Experience with data cleaning and analysis tools (TidyPeek).
Exposure to full-stack development concepts with Python (Flask) and Java.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.

Yasin Islam

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit