Tanya Rudakevych

Tanya Rudakevych

Data Scientist @ Pomelo

About Tanya Rudakevych

Tanya Rudakevych is a data scientist with extensive experience in healthcare analytics. She has worked at various organizations, including the U.S. Department of Energy, Devoted Health, and IBM Watson Health, and holds a Bachelor of Science in Mathematics and Statistics from the University of Chicago.

Work at Pomelo

Tanya Rudakevych has been employed at Pomelo Care as a Data Scientist since 2023. In this role, she applies her expertise in data analysis and statistical methods to enhance healthcare solutions. Her work at Pomelo focuses on leveraging data to improve patient outcomes and streamline healthcare processes.

Education and Expertise

Tanya Rudakevych holds a Bachelor of Science (B.S.) degree in Mathematics and Statistics from the University of Chicago. Additionally, she participated in the Summer Institute for Training in Biostatistics at the University of Pittsburgh, where she gained further knowledge in biostatistical methods and applications.

Background

Tanya Rudakevych began her career with a summer internship at the U.S. Department of Energy in 2014, where she worked for three months in the Chicago office. Following this, she held various positions in data science and research, including roles at University of Chicago Medicine and Boston Children's Hospital.

Professional Experience

Tanya has extensive experience in data science, having worked at Devoted Health in multiple capacities, including Principal Data Scientist and Architect, Data Science. Her tenure at Devoted Health lasted from 2019 to 2023. She also worked at IBM Watson Health as a Data Scientist from 2017 to 2019, contributing to health data analytics.

Research and Development Roles

Throughout her career, Tanya has held several research-oriented positions. She served as a Statistical Research Assistant at University of Chicago Medicine from 2015 to 2016 and as a Research Assistant at Boston Children's Hospital from 2016 to 2017. These roles involved statistical analysis and support for various research projects.

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