Tamar Farber
About Tamar Farber
Tamar Farber is a Data Scientist at Cambia Health Solutions, where she has worked since 2020. She specializes in machine learning model development and advanced analytics to evaluate healthcare programs.
Work at Cambia Health Solutions
Tamar Farber has been employed at Cambia Health Solutions as a Data Scientist since 2020. In this role, she utilizes advanced analytics to assess the effectiveness of healthcare programs and interventions. Prior to her current position, she served as a Senior Data Reporting Analyst at Cambia Health Solutions from 2018 to 2020. During her tenure, she developed a social risk index and an algorithm to impute race and ethnicity, contributing to the analysis of Social Determinants of Health. Her work involves creating data visualizations in Tableau to effectively communicate analysis findings to business partners.
Education and Expertise
Tamar Farber has an extensive educational background in data science and related fields. She completed the Microsoft Professional Program Data Science track through edX in 2017, which spanned 11 months. She holds a Master of Arts in Religious Studies from Arizona State University, earned between 2007 and 2010. Additionally, she has a Certificate in Nonprofit Management from the University of Illinois at Chicago, obtained in 2012, and a Professional Certificate in Non-Profit Fundraising from Portland State University, completed in 2014. Her studies have equipped her with skills in building and evaluating machine learning models and conducting exploratory analysis.
Background
Tamar Farber's professional journey includes various roles in research and support. She worked as a Research Assistant at Arizona State University- Institute of Humanities Research from 2008 to 2009. Prior to that, she served as a Shelter Assistant at UMOM New Day Centers from 2007 to 2008 and as a Support Partner at A New Leaf from 2009 to 2010. These positions provided her with diverse experiences that contributed to her analytical skills and understanding of social issues.
Achievements
Throughout her career, Tamar Farber has made significant contributions in the field of data science. She specializes in building and evaluating machine learning models, focusing on quick proof of concepts and assessing business value. Her development of a social risk index and an algorithm for imputing race and ethnicity reflects her commitment to analyzing Social Determinants of Health. Additionally, she creates data visualizations in Tableau, which aids in presenting analysis findings to stakeholders.