R Data Science Capstone Project

Yan Luo serves as a Data Scientist and Developer at IBM Canada, where he applies his expertise in machine learning and artificial intelligence to develop innovative cognitive applications across diverse domains including software repository mining, personalized health management, wireless networks, and digital banking. After earning his Ph.D. in Machine Learning from the University of Western Ontario, he has contributed significantly to technical education through developing and teaching multiple data science courses, including Applied Data Science Capstone, Machine Learning Capstone, and Introduction to R Programming for Data Science. His work focuses on practical applications of AI and cognitive computing, bridging the gap between theoretical machine learning concepts and real-world business solutions.

Jeff Grossman is a seasoned Data Science and Engineering Subject Matter Expert at IBM, with a robust background that spans pure mathematics, geophysical signal and image processing, medical imaging, and data science. As the founder of 617 Data Solutions Inc., he focuses on guiding organizations through their data science journeys, helping them leverage data for informed decision-making. His company collaborates strategically with the Data and Analytics Team at Missing Link Technologies, ensuring that clients build a solid data foundation from the outset. This groundwork enables actionable intelligence to thrive through customized solutions in data extraction, integration, visualization, automation, machine learning, and artificial intelligence. Passionate about community engagement, Jeff serves as a Subject Matter Expert at Skill-Up Technologies, where he develops educational content for IBM/Coursera courses. He also volunteers with CAMDEA Digital Forum in Alberta, Canada, further demonstrating his commitment to advancing knowledge in the field of data science.