Kathryn Rouse (Zuhr)

Data Scientist at Inmar

Kathryn (Zuhr) Rouse, MA has a diverse work experience. Kathryn (Zuhr) started working as a Data Scientist at Inmar Intelligence in May 2017. In this role, they utilized predictive analytics and technology-enabled platforms to help companies in various industries, including highly regulated ones, engage with audiences and overcome obstacles to growth.

After that, Kathryn worked as a Visiting Instructor of Computer Science at Wake Forest University from January 2019 to May 2019. Prior to that, they were a Graduate Research Assistant at the same university from August 2016 to May 2018, where they conducted research in their field of study.

Before their time at Wake Forest University, Kathryn served as a Visiting Instructor of Mathematics from September 2013 to May 2016 at the university. Kathryn (Zuhr) also worked as an Adjunct Instructor of Mathematics at Salem College from September 2012 to December 2013.

Overall, Kathryn (Zuhr) Rouse, MA has a strong background in data science, research, and teaching in both the mathematics and computer science fields.

Kathryn (Zuhr) Rouse, MA has a strong educational background in computer science, mathematics, and data analytics. Kathryn (Zuhr) pursued their Bachelor of Arts (B.A.) in Mathematics at Mount Holyoke College from 1999 to 2003. Kathryn (Zuhr) then went on to complete their Master of Arts (M.A.) in Mathematics at the University of Wisconsin-Madison from 2003 to 2006.

Driven by their interest in computer science, Kathryn expanded their knowledge in this field by obtaining a Master of Science (M.S.) in Computer Science from Wake Forest University between 2016 and 2018.

In addition to their formal education, Kathryn has also acquired various certifications to enhance their skills and understanding of emerging technologies. Notably, they have obtained the following certifications: Google Cloud Training Badges from Qwiklabs in November 2020, a Reinforcement Learning Specialization from Coursera in November 2020, Fundamentals of Reinforcement Learning from Coursera in March 2020, Graph Analytics for Big Data from Coursera in February 2019, and certifications in subjects such as Big Data Integration and Processing, Machine Learning with Big Data, Big Data Modeling and Management Systems, Introduction to Big Data, and Neural Networks for Machine Learning, all obtained from Coursera between 2018 and 2019.

This comprehensive education history and their passion for learning demonstrate Kathryn's dedication to staying current and proficient in technology and data-related fields.

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