Mimi Park is a business-outcome focused Data Scientist and leader with more than 10 years of experience in machine learning, data science and analytics. Mimi is passionate about making sure ROIs in data are realized by starting with immediate, relevant and actionable opportunities. She has helped numerous companies in the DFW area uncover the potential of their data by leveraging advanced insights and machine learning algorithms to drive decisions that create value and save costs. Most recently, she helped a Fortune 50 company build and implement a customer-facing product recommendation algorithm on their eCommerce platform that increased conversion and revenue. She also advises senior leaders on modern data platforms, data science strategy, Agile data science, data democratization, building data science teams, and more.

− 10 years of hands on data science and machine learning experience with strong academic background in mathematics and statistics
− Vast experience in dealing with large databases to draw business insight and build predictive models
− Proven track-record in successfully executing innovative and large-scale projects 

LINKED IN PROFILE

https://www.linkedin.com/in/mimi-park-1557b219/

@ IACS

Associate Professor

Director Center for Machine Learning
Department of CS 
Erik Jonsson School of Engineering & Computer Science,
The University of Texas at Dallas,

Dr. Sriraam Natarajan is an Associate Professor at the Department of Computer Science at University of Texas Dallas. He was previously an Associate Professor and earlier an Assistant Professor at Indiana University, and at Wake Forest School of Medicine, a post-doctoral research associate at University of Wisconsin-Madison and had graduated with his PhD from Oregon State University. His research interests lie in the field of Artificial Intelligence, with emphasis on Machine Learning, Statistical Relational Learning and AI, Reinforcement Learning, Graphical Models and Biomedical Applications. He has received the Young Investigator award from US Army Research Office, Amazon Faculty Research Award, Intel Faculty Award, XEROX Faculty Award and the IU trustees Teaching Award from Indiana University. He is an editorial board member of MLJ, JAIR and DAMI journals and is the electronics publishing editor of JAIR. He is the organizer of the key workshops in the field of Statistical Relational AI, co-authored the book on this topic and has offered tutorials on the topic. He was also the co-chair of the AAAI student abstract and posters at AAAI 2014 and AAAI 2015 and the chair of the AAAI students outreach at AAAI 2016 and 2017.

http://utdallas.edu/~sriraam.natarajan/

@ IACS

Transformational Healthcare BI/Analytics Executive with across the continuum experience spanning payers, providers and pharmaceuticals/life sciences industries. Proven experience includes:
• developing and implementing innovative strategies involving data assets to derive positive
business impact
• organizing, motivating and leading large cross-functional teams in driving complex initiatives to
fruition
• solving healthcare challenges through effective and efficient use of technology

Speaker at National conferences on various topics in the area of Healthcare Data and Analytics.

Believes in giving back through sharing experiences with other healthcare organizations so as to influence strategy and positively impact project outcomes where and when needed.

Regular presence at local universities playing the bridge role between industry and academia with interest in shaping talent for the industry and research studies/outcomes. 

LinkedIn Profile

https://www.linkedin.com/in/shashivangala/

@ IACS