Dan Reznik

Dan S. Reznik is a seasoned professional in the field of Data Science and Analytics Strategy, with a strong background in Project Delivery and In-Company Training.

His academic journey includes a Doctor of Philosophy (Ph.D.) in Electrical Engineering and Computer Sciences from the University of California, Berkeley, a Master of Science in Computer Sciences from the University of Wisconsin-Madison, and a Bachelor of Science in Computer Engineering from The University of Kansas. Additionally, he studied Electrical and Electronics Engineering at Centro Federal de Educação Tecnológica Celso Suckow da Fonseca.

With an impressive career trajectory, Dan S. Reznik has held various key positions in renowned organizations. He has served as a Director and Former Principal Consultant at Data Science Consulting, as well as an Adjunct Professor at Pontifícia Universidade Católica do Rio de Janeiro and Fundação Dom Cabral. He was also the Founder of Azor Diagnostics and has worked in leadership roles at Microsoft, Edisun CSP, Plexus Solar, FGV - Fundação Getulio Vargas, Secretaria de Planejamento e Gestão do Estado de Minas Gerais (SEPLAG-MG), Bradesco, Peixe Urbano, Upper West Soluções, eSolar, and Idealab. His wealth of experience includes expertise in areas such as Advanced Analytics, Machine Learning, Solar Systems Analytics, Business Development, and Intellectual Property.

Dan S. Reznik has a comprehensive skill set that encompasses Data Science, Data Analysis, Modeling, Visualization, Prediction, Recommendation Engines, and Product Development. His contributions in the industry have been recognized through his roles as a Data Scientist, Principal Consultant, Senior Scientist, Innovator, and Member of Technical Staff at various esteemed institutions.

Overall, Dan S. Reznik is a versatile professional with a deep understanding of data-driven strategies and a proven track record of delivering impactful projects and imparting knowledge through training sessions within organizations.