Data Science & ML
Data preparation, transformation, feature engineering and selection, regression, classification, and model evaluation.
Data Engineering
End-to-end pipelines with Spark, PySpark, Airflow, dbt, and cloud platforms.
LLMs & RAG
Google Gemini, RAG pipelines, ChromaDB, prompt engineering, and fine-tuning.
About Me
I am a data scientist with a background in Computer Science and IT Engineering, focused on turning data into models, insights, and intelligent systems. My work spans machine learning, LLMs and RAG pipelines, data visualization, and end-to-end data engineering across GCP and Azure.
I enjoy building production-minded data products, collaborating across teams, and turning complex data into clear, actionable solutions.
Education
Master of Data Science and Innovation
University of Technology Sydney (UTS), Australia
Full-Stack Web Development
Omnia, Finland
Master of IT Engineering
Shahid Beheshti University (SBU), Tehran, Iran
B.S. in Computer Science
Alzahra University, Iran
Experience
U:PASS Leader — Machine Learning Engineering & Data Science
At UTS University, facilitating peer-led learning sessions in Machine Learning Algorithms and Applications and Data Science Practice, designing session plans and activities to support students' technical and problem-solving skills.
Data Storytelling & Insights Intern
At Quantum Australia, supported impact analysis by cleaning and validating stakeholder data, maintaining Salesforce records, and contributing to dashboards and data-driven presentations.
Full-Stack Web Development
Built web applications using React, Redux, Node.js, MongoDB, GraphQL, Docker, and Deno at Omnia, Finland.
Publication: Anomaly Detection on OpenStack Logs — Journal of Software: Practice and Experience.
Certifications: Azure AI Fundamentals (AI-900)
A Data-Driven Problem Solver
I combine data science, data engineering, and software development to build practical solutions across analytics, machine learning, LLMs, and cloud-based data products.
| Residence | Sydney, Australia |
|---|---|
| Address | Sydney, Australia |
| [email protected] | |
| Phone | (+61) 424 330 692 |
- Programming: Python, SQL, R, Java, C++, JavaScript
- Data Engineering: Apache Spark, PySpark, Databricks, Delta Lake, Airflow, dbt Cloud, GCP Composer
- Machine Learning: Regression, gradient boosting, feature engineering, model evaluation, scikit-learn
- LLMs & Generative AI: Google Gemini API, RAG pipelines, ChromaDB, prompt engineering, DistilBERT fine-tuning
- Data & BI: SQL, PostgreSQL, Snowflake, MongoDB, Power BI, Seaborn, Matplotlib, Excel
- Web & Dev Tools: React, Node.js, Express.js, Docker, Git, GitHub, Jupyter, Databricks Notebooks
Projects
Here are selected projects spanning data engineering, AI/LLMs, machine learning, and analytics. Each project links to GitHub or the repositories page.
Contact Me
I am always interested in data-driven projects, collaborative problem solving, and opportunities to build impactful products.