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Top 10 Revenue Drivers For Data Science In Financial Services For 2017

May 24, 2017


Session Time and Date

Wednesday, May 24th from 2pm – 3pm CDT


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Presentation Description

With the assistance of data science and big data analytics, many industries have been able to leverage large volumes of information to make data-driven decisions that enable them to capitalize on opportunities and substantially improve revenue generation.

It is truly vital for financial institutions to utilize the immense amount of data they store & interact with on a daily basis, and to implement data science solutions that maximize the value of this information.

In this discussion, Meina Zhou will speak about the top 10 data science revenue drivers that are impacting financial services in 2017, such as customer segmentation and churn prediction. She will also discuss how financial institutions can effectively implement data science solutions to address these developments.


Primary Speaker First Name
Primary Speaker Last Name
Primary Speaker Bio
Meina Zhou is a Senior Consultant and Data Scientist at Capco. Prior to Capco, Meina Zhou worked as a data scientist at Bitly for two years. Her core expertise lies in the application of proven data science tools and techniques to conduct business analytics and predictive modeling. Meina has used her business acumen and data science skills to solve business problems, such as churn and upsell predictive modeling. She also has a background in big data analytics and enjoys data visualizations. Meina is a thought leader in the data science world and is an active conference speaker. She enjoys public speaking and sharing innovative data science ideas with other people. Meina received her Master of Science in Data Science from New York University and her Bachelor of Arts in Mathematics and Economics from Agnes Scott College.
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