Rogelio Cuevas currently works as a Director of Data Science in the financial industry in Toronto and as a Data Science mentor for a San Francisco start-up. His educational background has allowed him to work in various research-oriented institutions that include Duke University, McMaster University, University of Western Ontario, and Fermilab. His past research activities made him a recipient of a postdoctoral Fellowship awarded by the Natural Science and Engineering Research Council of Canada.

Ken has over 9 years of experience in data analytics and specializes in retail lending, campaign analytics and credit risk modeling. With a passion for Data Science, Ken has acquired solid technical skills (SQL/Python/SAS/AWS) and would like to share his learning experience with everyone. Ken also received an MBA degree from Rotman Business School, University of Toronto.

Shaohua is the Co-founder and Chief Instructor at WeCloudData. In the past few years, he has trained hundreds of students and helped many of them launch their data science careers. He is also the CEO and Head of Data Science at Beam Data where he works closely with the industry partners on implementing data science projects. Prior to co-founding the Toronto Institute of Data Science and Technology (WeCloudData), he led the data science team at BlackBerry and helped build the data science practice at Kik. He has also worked with big companies such as TD, Canadian Tire, Sunlife, CIBC, Communitech, and MaRS on upskilling their data teams.

Jodie is a Data Scientist with industry experience in areas including AI startup, mobile games, public health, and within the pharmaceuticals industry. Currently, she is a Machine Learning Engineer at Dessa. Previously, she worked as a Data Scientist at Gameloft, where she works on an iOS top 10 mobile game, doing a combination mix of user behavior research, exploration, data engineering, and statistical modeling. She is a master of digital marketing campaign design and analysis, as well as implementing various statistical and machine learning models to help solve real-world business problems. She has also achieved the M.Sc. degree in Biostatistics from the University of Toronto. Before coming to Toronto, she was enrolled in the Applied Mathematics Ph.D. program at the University of Florida.