Shira Dvora
About Shira Dvora
Shira Dvora is a Data Analyst with a strong background in statistics and data analysis. She holds a Master of Social Work from Tel Aviv University and has experience in various roles, including program coordination and optimization analysis.
Work at Aidoc
Shira Dvora has been employed at Aidoc as a Data Analyst since 2021. In this role, she utilizes her analytical skills to support the company's objectives in the healthcare technology sector. Her work involves integrating data analysis with business strategies to enhance operational efficiency and decision-making processes.
Education and Expertise
Shira Dvora holds a Master of Social Work (MSW) from Tel Aviv University, which she completed from 2015 to 2018. She also earned a Bachelor of Arts (BA) in Psychology and Management from Ben-Gurion University of the Negev between 2011 and 2014. Additionally, she studied Python at She Codes from 2018 to 2019, enhancing her technical skills in data analysis.
Background
Shira Dvora began her academic journey at Ironi UD, where she studied Chemistry and Literature from 2005 to 2007. She has a diverse professional background, having worked at Ben-Gurion University of the Negev as a Private Statistic Tutor and as a Program Coordinator for the 'Da Vinci' excellence program for youth. She also served as a Teaching Assistant at Tel Aviv University and as a Youth Promotion worker at the Hila Project.
Professional Experience
Before joining Aidoc, Shira Dvora worked as an Optimization Analyst at Albert: Artificial Intelligence Marketing from 2019 to 2022. Her experience in this role involved applying data analysis techniques to optimize marketing strategies. She has demonstrated a commitment to continuous learning and professional development throughout her career.
Skills in Data Analysis
Shira Dvora possesses a strong foundation in statistics and data analysis, which supports her current role as a Data Analyst. Her expertise lies in integrating analytical skills with business-related aspects, enabling her to contribute effectively to data-driven decision-making processes.