April Harry, PhD
About April Harry, PhD
April Harry, PhD, is a Senior Data Scientist at Rover.com with a strong background in theoretical and applied statistics.
Title
April Harry, PhD, holds the position of Senior Data Scientist at Rover.com since 2019. She has established herself in the field of data science with a rigorous background in theoretical and applied statistics.
Company
April is currently employed at Rover.com, where she has been working as a Senior Data Scientist for more than four years. Located in Austin, Texas, Rover.com is a prominent platform in the pet care industry. April's role focuses on data-driven innovation projects and applying advanced statistical methods to tackle complex problems.
Previous Positions
Before joining Rover.com, April Harry worked at Insight Data Science as a Technical Advisor for 11 months in the Greater Seattle Area and as a Data Science Fellow for 3 months in Seattle. She also held the position of Data Scientist at RealSelf for a year, based in Seattle, Washington. Additionally, she was a Research Technician at Northeastern University for two years in the Greater Boston Area and a Graduate Research Assistant at Purdue University for one year.
Education and Expertise
April Harry completed her Doctor of Philosophy (Ph.D.) in Statistics from Purdue University between 2012 and 2017. Prior to that, she earned her Master of Science (M.S.) degree in Applied Statistics from Purdue University from 2010 to 2012. She holds a Bachelor of Science (B.S.) degree in Mathematics from Xavier University of Louisiana, which she completed in 2010. Her educational background provides her with a solid foundation in both theoretical and applied statistical methodologies.
Industry Experience and Contributions
Throughout her career, April Harry has contributed significantly to various institutions. At Rover.com, she engages in impactful data-driven innovation projects. Her roles have spanned technical advisory positions, research internships at IBM, and mentoring roles at the SYLVIA BOZEMAN AND RHONDA HUGHES EDGE FOUNDATION. These diverse experiences highlight her extensive involvement in the data science field and her capacity for leveraging statistical methods to drive meaningful insights and solutions across various domains.