Borhan Sanandaji

Borhan Sanandaji is a highly skilled individual with a broad expertise spanning fields such as Machine Learning, Deep Learning, Big Data Analytics, Spatio-Temporal Forecasting, Cyber Data Attacks, Anomaly Detection, Risk Data Science, Fraud Detection, Compressive Sensing, Interconnected Systems, Structured-Sparse Signal Processing, Dimensionality Reduction, Manifold Learning, Model Predictive Control, Renewable Energy Integration, Aggregation of Flexible Loads, Demand Response, and Probabilistic Modeling for Catastrophic Events. He has a strong foundation in various theories and practical applications.

In the realm of software development, Borhan has proficiency in Distributed Computing, Parallel Data Analysis, Apache Spark on Azure and AWS Cloud, IoT Big Data Pipeline Design and Implementation, Spark Streaming, Java, C# (Visual Studio TFS .NET Framework), Python, R, PySpark, and Scala. His technical skills extend to a diverse range of programming languages and platforms, enhancing his capabilities in tackling complex technological challenges.

His educational background includes a Post-doctoral Scholar in Electrical Engineering and Computer Science from the University of California, Berkeley, and a Doctor of Philosophy (PhD) in Electrical Engineering and Computer Science from the Colorado School of Mines. Through his academic journey, Borhan has laid a solid academic foundation that complements his hands-on experience in the industry.

With a rich professional history, Borhan has held various key positions in renowned organizations. Previously, he served as a Staff Applied Machine Learning Scientist, Technical Lead Manager, Senior Applied Machine Learning Scientist, and Data Scientist at Uber. Additionally, he held roles as Lead Data Scientist - AI at Mojio, Data Scientist at Mojio, Scientific Programmer (Senior Modeler) at RMS, and Postdoctoral Scholar and Research Assistant at UC Berkeley and Colorado School of Mines, respectively. His diverse roles have equipped him with a holistic perspective on data science, machine learning, and their practical implications across different sectors.

Borhan Sanandaji's expertise extends to applications such as Automotive and Connected Car, IoT, Intelligent Transportation Systems, Power Systems, Smart Grids, and Catastrophic Events Risk Analysis. His skills and knowledge make him a valuable asset in tackling challenges related to these domains, showcasing his adaptability and proficiency across different industry verticals.