Data Scientist and Petroleum Engineer with a research focus on leveraging advanced computational methods for geoscientific innovation. My work integrates 3D geological modeling, digital rock physics, and deep learning for image processing (SEM/micro-CT) to enhance shale reservoir characterization, petrophysical analysis, and reservoir simulation. Proficient in Python, Azure, Abaqus, and Power BI for developing data-driven insights that optimize resource development and de-risk subsurface projects. My research bridges the gap between geoscience and computational analytics. I am driven to create innovative, data-centric solutions that address challenges in petrophysics, sustainable resource development, and production optimization.

Ph.D. in Petroleum Engineering
China University of Geosciences, Wuhan, China • 2025–2029
Research Focus: Image processing, deep learning, geometric modeling, and petrophysical analysis applied to unconventional reservoirs.

M.Sc. in Mining Engineering (100/110)
Politecnico di Torino, Turin, Italy • 2018–2021
Alta Scuola Politecnica – Double degree Politecnico di Milano and di Torino • 2018–2019

B.Sc. in Petroleum Engineering
Shiraz University, Shiraz, Iran • 2012–2017

GRE Scores: Total 308 | Quantitative Reasoning 164 | Verbal Reasoning 142 | Analytical Writing 3.5 • Dec 2023

IELTS Academic: 7.5 band | Speaking 7.0 | Writing 7.0 | Reading 8.0 | Listening 8.0 • March 2025