Mahsa Shahbazi

Data Scientist

https://talent.gravityer.com/mahsa-shahbazi

Doctoral Researcher | AI in Sleep Medicine & Healthcare

Finland

Key Strengths

Demonstrated interest in Data Science through numerous personal projects.
Experience with various data analysis and machine learning tasks (e.g., stock price analysis, sleep staging, image classification, medical image retrieval, MRI segmentation, heart disease prediction).
Proficiency in using Jupyter Notebook for data exploration and model development.
Exposure to Python for machine learning and deep learning applications.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate shows a strong initiative in pursuing personal projects related to data science, which aligns with a proactive and self-driven culture. The diversity of projects (finance, healthcare, sports, social media) indicates a broad interest in applying data science across different domains. However, the lack of team-based projects or professional experience makes it difficult to fully assess collaboration and cultural integration.

Soft Skills & Operational Fit

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

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Projects

fine-tuned-vision-language-model

April 21, 2026 – Present

Fine-tuned LLM model for medical image retrieval, with CLIP-based chest X-ray search, FAISS indexing, formal evaluation, and a Streamlit demo.

View Project

Brain-MRI-Segmentation

December 27, 2024 – December 27, 2024

Brain-MRI-Segmentation — GitHub repository

View Project

Sleep-Staging-on-the-Sleep-Physionet-Dataset

December 7, 2024 – December 7, 2024

Sleep-Staging-on-the-Sleep-Physionet-Dataset — GitHub repository

View Project

IPL-Analysis