Summary
Reza Hashemi is an IBM Advanced Data Science Professional with nine years of cross-industry experience building ML and deep learning solutions that turn messy, location-based datasets into actionable insights. He combines strong hands-on skills in Python, Jupyter, Scikit-learn, Pandas and Azure Databricks with practical embedded-systems and networking experience (Raspberry Pi, CAN bus, OBD, TCP/IP), enabling end-to-end prototypes from edge hardware to cloud models. His background spans enterprise roles at IBM, Microsoft and BP plus academic training from HarvardX, Stanford and University of Michigan, reflecting both applied and research-oriented strengths. Reza is comfortable shipping production-ready analytics—SQL-backed pipelines, feature engineering, model evaluation—and translating results into business decisions that improve efficiency and accuracy. He brings a technician’s knack for hardware troubleshooting and systems integration alongside modern data science practices, which helps when ML projects require atypical infrastructure or protocol-level debugging. Based in Dearborn, MI, he’s known for a high-energy, scientist mindset and a proven ability to mentor teams while delivering end-to-end AI solutions.
9 years of coding experience
9 years of employment as a software developer
Bachelor's degree, Computer Science networking, Bachelor's degree, Computer Science networking at University of Missouri-Kansas City
Master of Science - MS, Data Processing, Master of Science - MS, Data Processing at University of Michigan College of Engineering
Certificate, Data Processing, Certificate, Data Processing at DataCamp
Master of Science - MS, Data Processing, Master of Science - MS, Data Processing at Cognitive Class
Certificate, Computer Science, Certificate, Computer Science at Stanford University School of Engineering
HarvardX Data Science Professional Certificate, Data Processing, HarvardX Data Science Professional Certificate, Data Processing at Harvard University
Persian, Arabic, English