Sardar Afra

Dr. Sardar Afra is a skilled data scientist and business professional with over a decade of experience in leveraging machine learning and advanced data-driven techniques to provide solutions to complex business challenges.

Currently serving as the Manager of Data Science at American Family Insurance, Sardar brings a wealth of knowledge in Statistical Machine Learning, Predictive Modeling, Deep Learning, and Business Intelligence, with a focus on applying Artificial Intelligence in sectors like Insurance, Retailing, Health Care, and Energy.

Prior to his role at American Family Insurance, Sardar held positions as a senior data scientist at Sears Holdings and Lynntech inc., working on innovative retail and computer vision projects for various clients, including government agencies.

His impressive academic background includes a Ph.D. in Electrical, Electronics, and Communications Engineering from Texas A&M University, where he explored the applications of machine learning in subsurface modeling and data assimilation.

During his academic journey, Sardar developed a unique parameterization technique for subsurface modeling using Higher Order Singular Value Decomposition through tensor multilinear algebra.

His expertise spans various machine learning algorithms such as SVM, random forest, hierarchical clustering, MLE, HB Estimation, HMMs, MCMC, and Gaussian Mixture Models, along with proficiency in programming languages like R, Python, and Java, and technologies like Hadoop and Spark.

Sardar's professional history includes roles at top organizations like Shell International, Schlumberger, ExxonMobil, and SKQ, where he contributed significantly to research and development in fields like reservoir modeling, petroleum engineering, and data analytics.

He is also an alumnus of prestigious institutions like The Wharton School, Shahrood University of Technology, and Sahand University of Technology, where he pursued degrees in Engineering, Business, and Mathematics, showcasing his multi-faceted expertise.