Description

I am an AI & Machine Learning Engineer specializing in Python-based data analysis, predictive modeling, and explainable AI.

I build reliable ML pipelines, perform end-to-end data preparation, and develop models for classification, regression, anomaly detection, and OOD detection.

My experience includes designing and evaluating deep learning models, creating analytical dashboards in Power BI, and generating insights through data visualization and statistical analysis. I work with Python (Pandas, NumPy, Scikit-learn, TensorFlow), SQL, and BI tools to turn raw data into clear and actionable results.

I am based in Italy and open to freelance projects involving data science, machine learning, model evaluation, data analytics, data cleaning, ETL pipelines, or business intelligence.

Industry field of expertise

Languages

English
Native or bilingual
Italian
Basic
Persian
Native or bilingual

Workplace preferences

Can work on-site

Genoa (up to 50km)

CNR-IEIIT (Italian National Research Council)
AI Research Intern – Safe & Explainable Trajectory Prediction
RESEARCH
February 2024 - Today (2 years and 4 months)
Genoa, Italy
Contributed to the REXASI-PRO project on trustworthy AI for smart wheelchair navigation.
Developed and tested multiple deep learning models for motion trajectory prediction under different conditions.
Implemented out-of-distribution detection and explainability methods (Decision Trees, Random Forests, SHAP) to evaluate model safety and interpretability.
Collaborated with researchers to assess system performance in safety-critical environments and document results for EU deliverables.
Python Machine learning Data analysis Neural Networks explainable AI
University of Genoa
Data Analyst – Business Intelligence & Power BI Dashboard Project
TECH
October 2023 - April 2024 (6 months)
Genoa, Italy
Designed and implemented an end-to-end data analytics solution using the Superstore 2015 dataset.
Performed data cleaning, SQL queries, and visual exploration in Python (Pandas, Matplotlib).
Developed interactive dashboards in Power BI to monitor sales performance, detect anomalies, and support decision-making.
Delivered a final analytical report achieving 92% model accuracy and actionable business insights.
Microsoft Power BI SQL Data visualisation Predictive Modeling Python
Samsung Iran
Technical Support Specialist
January 2021 - January 2022 (1 year)
Iran
Provided server and desktop support for office systems, computers, and printers. Diagnosed and resolved hardware and software issues for employees. Collaborated with IT staff to maintain network stability and ensure continuous system uptime.