Tatiana (Tanya) Sokolinski
About Tatiana (Tanya) Sokolinski
Tatiana (Tanya) Sokolinski is a Data Science Manager at Atlantic Health System, where she has worked since 2023. She has extensive experience in healthcare data science and holds multiple degrees in Materials Engineering and Computer Science.
Current Role as Data Science Manager
Tatiana Sokolinski currently serves as a Data Science Manager at Atlantic Health System, a position she has held since 2023. In this role, she oversees data science initiatives and manages a team focused on healthcare data analytics. Her responsibilities include implementing machine learning models and enhancing data-driven decision-making processes within the organization.
Experience at Atlantic Health System
Tatiana Sokolinski worked at Atlantic Health System for a total of five years, beginning as a Data Scientist from 2018 to 2021 and later advancing to Senior Data Scientist from 2021 to 2023. During her tenure, she contributed to various healthcare data projects, focusing on data analytics and machine learning applications to improve patient outcomes and operational efficiency.
Previous Roles in Data Science
Before her time at Atlantic Health System, Tatiana Sokolinski worked as a Data Scientist at C2Sense, Inc. from 2016 to 2018. She also held the position of Materials Scientist at the same company from 2015 to 2016. Earlier in her career, she gained experience as a Research Assistant at Boston University in 2014 and as a Lab Assistant at PolyJoule, Inc. from 2012 to 2013.
Educational Background
Tatiana Sokolinski earned her Bachelor's degree in Materials Engineering from Jerusalem College of Engineering, completing her studies from 2007 to 2011. She later pursued advanced education, obtaining a Master's degree in Materials Science and Engineering from Boston University between 2013 and 2015, and a Master's degree in Computer Science from the University of Illinois at Urbana-Champaign from 2020 to 2022.
Technical Skills and Expertise
Tatiana Sokolinski possesses strong technical skills in programming languages and tools essential for data science. She is proficient in Python, R, and MATLAB, and has experience using SQL, Tableau, PowerBI, GitLab, and Jira. Her expertise lies in healthcare data science, particularly in data analytics and machine learning, which she applies to her current role.