Open to opportunities

Making complex data
useful for people.

I'm Mobina, a machine-learning engineer and data scientist focused on thoughtful, practical AI for healthcare.

Explore my work Download CV
Mobina Arabnejad
Curious by nature,
careful by design.

A little about me

I care about the space where rigorous engineering meets human impact.

Currently pursuing an MSc in Engineering Technology (Strategos) at the University of Genoa, I build data-driven systems that are understandable, useful, and grounded in the real world. My interests span anomaly detection, predictive modelling, decision-support systems, and the responsible use of AI in healthcare.

Genoa, ItalyAvailable for collaborations

Selected work

03 projects
01

Healthcare ML

Healthcare Anomaly Detection System

A machine-learning pipeline for identifying anomalies in healthcare data with Isolation Forest and Z-score methods, supporting clinical decision-making and patient outcome predictions.

PythonAnomaly detectionHealthcare AI
02

Machine Learning

Beginner-Friendly ML Projects

A curated collection of approachable machine-learning projects with clear documentation and step-by-step explanations built around real-world datasets.

Scikit-learnData analysisEducation
03

Data Science

Databases & SQL for Data Science

An IBM-certified project covering relational databases, SQL, and Python-based analysis pipelines applied to practical datasets.

SQLPythonIBM certified

Get in touch

Have a thoughtful
problem to solve?

I'd love to hear about it. Whether it's a research idea, a collaboration, or an opportunity to build something meaningful together.