Dr. Reza Ghadiri
Data Scientist | Ph.D. in AI
Email: re.ghadiri@gmail.com | re.ghadiri@shahroodut.ac.ir | Phone: | Website: rezaghadiri.github.io | LinkedIn: linkedin.com/in/reza-ghadiri
Professional Summary
Data Scientist with extensive experience in financial time series analysis, artificial intelligence, and software development. Proven leadership as CTO in e-commerce. Highly skilled in Python, PostgreSQL, and big data technologies. Currently holding a Ph.D. in Artificial Intelligence with a focus on graph representation learning and large language models.
Work Experience
University Lecturer
Ferdowsi University of Mashhad, Iran
September 2025 – Present
- Database System Concepts
Data Scientist
Tarlan Pars Information Technology, Iran
April 2019 – Present
- Analysis of financial time series data via complex networks.
- Chief Technology Officer of YoozMart, an online grocery and gourmet food shopping platform.
Software Developer
Saze Niroye Sadid, Iran
October 2013 – March 2017
- Developed software applications for industrial clients.
Software Developer & Database Administrator
Ghalamroye Andisheh, Iran
January 2012 – October 2013
- Managed databases and developed software for various projects.
Education
Ph.D. in Artificial Intelligence
Shahrood University of Technology, Iran
September 2021 - May 2026
Thesis: A Neo-Method for Node Classification in Text-Attributed Graphs | GPA: 4.0/4.0
M.S. in Computer Software Engineering
Islamic Azad University Mashhad Branch, Iran
September 2017 – September 2018
Thesis: Sparse Clustering of Multivariate Time Series for Large-Scale Data | GPA: 4.0/4.0
B.S. in Computer Software Engineering
Islamic Azad University Mashhad Branch, Iran
September 2011
Project: Hyperlink Induced Topic Search | GPA: 3.75/4.0
Skills
- Python
- PostgreSQL
- ArangoDB
- Git
- Docker
- Big Data
- Algorithmic Game Theory
- English (Fluent)
- Persian (Native)
- Taekwondo (Black 2nd Dan)
Research Interests
- Graph Representation Learning
- Probabilistic Graphical Models
- Stochastic Variational Inference
- Distributed Convex Optimization
- Large Language Models
Publications
- Ghadiri R., Fateh M., Mashayekhi H. (2026). neoTextGCN: A Neo-approach for node classification in text-attributed graphs. Knowledge-Based Systems, 115647
- Ghadiri R., Godaz R., Torabi H. (2018). Sparse Clustering of Multivariate Time Series for Large-Scale Data