Behzad Ahmadi is a highly experienced data scientist and software/firmware engineer who has worked in a range of industries, including retail, academia, and telecommunications. With a strong background in machine learning, algorithm development, and signal processing, Behzad has leveraged his expertise to design and implement machine learning algorithms for touchscreen applications, apply supervised and unsupervised learning techniques to real-world data sets, and develop DSP firmware algorithms for next-generation digital communication and line diagnostics products.

Behzad's educational background includes a PhD in Electrical and Computer Engineering from the New Jersey Institute of Technology, where he focused on communication and signal processing, and a Master's Degree in Electrical and Computer Engineering from Isfahan University of Technology. He has also taught as an adjunct professor at Northeastern University and New Jersey Institute of Technology, as well as Sepahan Isfahan University.

As a former Data Scientist at Walmart Labs, Behzad has worked on a variety of projects involving data analytics, machine learning methods, and feature extraction. He has extensive experience applying machine learning algorithms such as dimensionality reduction, ICA, PCA, and more to biomedical data from Electro Encephalogram (EEG), as well as to real estate data, financial data, text recognition, academic scores, industrial quality assurance, and environmental data. Behzad is highly proficient in several programming languages, including C, C++, and RTOS, and he has worked with various microprocessors and microcontrollers such as MIPS.