Analytics is the key component of any and all organizations. We all understand the importance clean data prior to any type of predictive model. The lack of success with predictive analytics starts at the base of the data and how it comes in and is cleaned. In a perfect world beginning to end is seamless with data is entered into any system, however reality is different. This short session is a look in the beginning of success of locating gaps, cleaning data in order to move to that next stage, where successful predictive analytics can make a difference.
Principal Data Scientist
Richard Hardin brings extensive experience as an expert for big data analytics applied to government and commercial businesses. He currently contributes to the Association for Analytics and Data Science Methods, Huntsville Chapter, and is a thought leader in analytics and the study of data science. Richard has been leading data analytics research and consulting for 15 years, with wide-ranging experience in fields that include scholastic, government, commercial and medical. He is currently leading several Data Science and AI implementations across various platforms. Richard is working on his doctorate in Data Analytics and serving as the BI architect and Data Scientist for VSE Corp, a diverse government contractor based in Alexandria Virginia. Before joining VSE, he served as the Principal BI Consultant for Deltek Inc. serving a variety of federal contractors at home and abroad. Before that, he worked with several local companies in the Huntsville area where he attended university.