Ģtv

Academic Credentials
  • Ph.D., Physics, University of California, Riverside, 2019
Additional Education & Training
  • Deep Learning Specialization, Coursera 2020
  • Introduction to the Data Engineering, Coursera 2023
Professional Affiliations
  • American Astronomical Society (AAS)

Dr. Omid Sameie is a data scientist and theoretical astrophysicist with +10 years of experience utilizing advanced numerical techniques to solve complex problems. Dr. Sameie is well-versed in the entire data science life cycle, including data cleaning, preprocessing, analysis, model development, and data visualization. Dr. Sameie has helped his clients enhance their business operations by implementing machine learning algorithms supplied with real world data.

Prior to joining Ģtv, Dr. Sameie served as a Data Scientist at GoGuardian, an educational technology software company, where he played a key role in supporting the machine learning (ML) infrastructure at production level, ensuring the smooth operation of the ML models.

Dr. Sameie is proficient in multiple programming languages, including Python, SQL, Fortran, C, and Mathematica, and is experienced using cloud-based computing services such as AWS and DataBricks.

Dr. Sameie holds a Ph.D. from the University of California Riverside, where his research focused on the role of Dark Matter in galaxy formation. His groundbreaking work involved conducting some of the largest simulations of galaxy formation, leading to novel solutions to long-standing puzzles in Cosmology. Following his Ph.D., Dr. Sameie held a prestigious postdoctoral research position at the University of Texas Austin for three years.

Key Highlights:

  • Extensive experience in the entire data science life cycle, including data cleaning, preprocessing, analysis, model development, and data visualization.
  • Proven track record of developing, testing, and maintaining machine learning algorithms with real-life data for business growth.
  • Proficient in multiple programming languages, including Python, SQL, Fortran, C, and Mathematica.
  • Strong expertise in cloud-based computing services such as AWS and DataBricks.
  • Ph.D. in Physics from the University of California Riverside, with groundbreaking research on the role of Dark Matter in galaxy formation.
  • Postdoctoral research experience at the University of Texas Austin, contributing to novel solutions in Cosmology.