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Sara Willovit started her career in Finance, moving into Data Management 15yrs ago when implementing a Financial Reporting System. Since then she has been executing programs around: “Data as a Service”, “Agile Stewardship & leveraging game dynamics and crowd sourcing to drive engagement & data democratization. She has a proven track record of helping organizations use data to gain new capabilities and revenue, reduce risk and complexity, and ensure survival through adherence to ever-changing governance, risk, compliance, security, and data quality requirements across industries.

Kelsey Reinhardt is the Head of Data Engineering at Forbes overseeing a team of six. She has worked on Business Intelligence teams at Digital Media companies for seven years after earning a dual degree in Information Science & Marketing from Northeastern University. Her current focus is managing and growing her team of Engineers who ensure that Forbes’ 400+ daily data sources come in accurately and on time to power countless dashboards and data science models, as well as synthesize Forbes’ proprietary first-party data platform, ForbesOne. This cutting-edge product enables Forbes to unify the information that its users supply into one profile. Once there is a deeper understanding of the reader across different touch points, site experience can be personalized and ad targeting more accurate which results in enhanced performance. Kelsey lives in Northern NJ and enjoys cooking new recipes, weekend trips, and taking 35mm film pictures.

Michael is a leader in Data Analytics and Machine Learning with over 20 years of real-world experience including, financial, insurance, health care and internet companies, etc., and a track record of providing thought-leadership and producing world-class products and services. He has established myself as an inspiring leader and supportive mentor, who has built and led teams to accomplish great feats. His personal research interests are Artificial Intelligence and Machine Learning, including Natural Language Processing, Supervised and Unsupervised Learning, and Deep Learning Neural Networks. I am proficient in multiple programming languages, including Python and Java, with hands-on knowledge in Big Data, Cloud Computing, DevOps, and Agile.

Michael is a leader in Data Analytics and Machine Learning with over 20 years of real-world experience including, financial, insurance, health care and internet companies, etc., and a track record of providing thought-leadership and producing world-class products and services. He has established myself as an inspiring leader and supportive mentor, who has built and led teams to accomplish great feats. His personal research interests are Artificial Intelligence and Machine Learning, including Natural Language Processing, Supervised and Unsupervised Learning, and Deep Learning Neural Networks. I am proficient in multiple programming languages, including Python and Java, with hands-on knowledge in Big Data, Cloud Computing, DevOps, and Agile.