Professors and students in the Professional Master’s Program showed their ability to adapt last week, hosting their Big Data Poster Session online, rather than at SFU’s Vancouver campus as originally planned.  

Students presented projects to their professors and classmates over Zoom, taking comments and questions from professors at the end of each presentation. Presenting on a variety of topics, students showed some of the many ways in which data science can be used to solve world problems.  

“Students have used data science to tackle very hard problems in a wide range of domains, such as epidemiology, economy, finance, healthcare, marketing, and security,” says professor Jiannan Wang, Director of the Professional Master’s Program. “They have mastered the data science skills of proposing impactful project ideas, applying the right techniques and tools, feeling confident about the derived data insights, and knowing how to present their work clearly and effectively.”

The top five group presentations, as selected, will present to the Professional Master’s Program Big Data Advisors the week of April 20th. Congratulations to the five selected groups: 

• “Deviation Finder – Elevator Anomaly Detection” by Kenny Tony Chakola, Keerthi Ningegowda, Ria Thomas, Varnnitha Venugopal, Vipin Das
• “Disease Outbreaks” by Kunal Desai, Arjun Mahadevan, Nirosha Bugatha, Navaneeth M
• “Strategic Asset Manager” by Ankita Kundra, Anuj Saboo, Rishabh Jain
• “Trendcast - Impact of Weather on Retail Sales” by Najeeb Qazi, Inderpartap Cheema, Mrinal Gosain, Pallavi Bharadwa
• “WikiPlugin” by Young-min Kim, Matthew Canute, Donggu Lee, Adriena Wong, Suraj Swaroop

Of these five groups, two groups will be selected to win best student project awards, each worth $3000. Continue to follow this page for updates on which groups are selected, as well as a more in-depth look at their projects.