Babak Badri
About Babak Badri
Babak Badri is a Lead Data Scientist at Ford Motor Company, with a strong background in machine learning and optimization techniques. He holds a PhD in Operations Research from Virginia Tech and has previously worked in various roles in data science and operations research across multiple companies.
Work at Ford Motor Company
Babak Badri has been employed at Ford Motor Company as a Lead Data Scientist since 2020. In this role, he applies his expertise in machine learning and data science to develop scalable algorithms and build APIs. His work contributes to the company's data-driven decision-making processes and enhances operational efficiency.
Education and Expertise
Babak Badri holds a Doctor of Philosophy (PhD) in Operations Research from Virginia Tech, where he studied from 2013 to 2018. He also earned a Master of Science (MS) in Socio-economic Systems Engineering from the University of Tehran between 2010 and 2013, and a Master of Science (MS) in Analytics from Harrisburg University of Science and Technology from 2019 to 2020. His educational background supports his comprehensive understanding of software development, DevOps practices, and various machine learning techniques.
Background
Before joining Ford Motor Company, Babak Badri held several positions that contributed to his expertise in data science and operations research. He worked as a Graduate Assistant and Instructor at Virginia Tech from 2013 to 2018. He also served as a Research Scientist at LLamasoft, Inc. from 2018 to 2019 and as an Operations Research Consultant at Koch Industries for a brief period in 2020. His early career included a role as a System Analyst at Honopardaz in Tehran Province, Iran.
Technical Skills and Tools
Babak Badri possesses strong technical skills in various programming languages, including Python, C, C++, and MATLAB. He is proficient in using data science tools such as PySpark, PyTorch, and TensorFlow. His expertise extends to optimization techniques, including linear programming and stochastic optimization, as well as simulation tools like Simio and ARENA. He is experienced in database management and web development, utilizing SQL and HTML.
Research and Development Experience
Throughout his career, Babak Badri has focused on developing scalable algorithms and utilizing machine learning techniques such as ensemble methods and deep learning. He has experience in simulation techniques, including Monte Carlo Methods and variance reduction, which are essential for the design and analysis of experiments. His work in research and development has contributed to advancements in data science applications.