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Open Challenges in Data Science

By
Eugene Wen, David Kierstead, Amir Hejazi, and Albert Hoang
Manulife Corp.

3:45pm May 10th
MC 5501

The talk will be followed by a networking reception in MC 5501.

Abstract:

Manulife’s Advanced Analytics teams translate complex data into insights. We use machine learning and other predictive modelling techniques to predict the likelihood of future events and optimize outcomes. Four use cases we believe data science can improve the customer experience are: 

1)      Predictive Underwriting - Buying a life insurance product can be a lengthy and time-consuming process. How can predictive analytics improve the underwriting approval process?
2)      Fraud Detection – The daily volume of insurance claims is extremely large and identifying fraudulent claims can be a very challenging task. How does supervised machine learning and anomaly detection techniques play a role in identifying such fraudulent claims?
3)      Speech Analytics - We have billions of customer voice recordings. How can we use this data to improve the customer experience?
4)      Image Analytics -  Our life insurance applicants must provide a lot of information to be underwritten for a policy. Can we improve this process by extracting features from a photo?
          
We will discuss our approach to solving these challenges and facilitate an open discussion with attendees to create an engaging and productive seminar.

Speaker Bios:
Eugene Wen, VP Group Advanced Analytics
Eugene is leading a data science team for Group Functions and building Center of Expertise (COE) for Advanced Analytics. He has Doctor of Public Health (D.Ph.) from University of Texas.   

Dave Keirstead, AVP, Advanced Analytics, Canadian Division
Dave is a University of Waterloo alumnus and a passionate leader of the Canadian Division Advanced Analytics team. He has gained a wealth of experience in various analytics-related roles over his 10-year tenure with the company.

Amir Hejazi, Data Scientist, Group Advanced Analytics
Amir holds a PhD in Computer Science from University of Toronto. He has published several research papers in areas of Speech (ISPACS’08) and Image Analysis (ICIP’08), Financial modeling and Communication Networks. He has several years of experience working in startups as well as mid to large size companies.  

Albert Hoang Duc, Senior Data Scientist, Group Advanced Analytics 

Albert holds a PhD in Machine Learning from University College London, UK. His work is focused on analyzing unstructured data such as text and images. Prior to Manulife, Albert has spent several years in academia, contributing to the fields of neuroscience and medical image computing.
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