Efrat Israel
About Efrat Israel
Efrat Israel is a Data Analyst with a background in Computer Science and Biomedical Engineering from the Technion - Israel Institute of Technology. She has experience in data analysis using Python libraries and has worked on projects to improve algorithm performance at Biosense Webster.
Work at BioSense
Efrat Israel has been employed at Biosense Webster as a Data Analyst since 2018. In this role, she focuses on data analysis to support various projects and initiatives within the organization. Her work involves utilizing her expertise in data analytics to enhance decision-making processes and improve operational efficiency. Efrat's contributions are particularly significant in projects that require in-depth analysis of large datasets.
Education and Expertise
Efrat Israel studied at Technion - Israel Institute of Technology, where she earned a Bachelor of Science in Computer Science from 2018 to 2021. Prior to that, she studied Biomedical/Medical Engineering at the same institution from 2015 to 2018. Her educational background provides her with a strong foundation in both computer science and engineering principles, enabling her to effectively analyze data and develop actionable insights.
Background
Before joining Biosense Webster, Efrat Israel worked as an Imagery Analyst in the Israel Defense Forces - Military Intelligence from 2012 to 2014. This experience allowed her to develop skills in data analysis and intelligence gathering, which she later applied in her current role. Her transition from military intelligence to the medical technology sector reflects her adaptability and commitment to leveraging data for impactful outcomes.
Technical Skills
Efrat Israel specializes in utilizing various Python libraries for data analysis tasks. She is proficient in libraries such as Pandas, NumPy, OpenCV, Matplotlib, and TkInter. These tools enable her to manipulate and analyze large datasets effectively, allowing her to derive insights and support engineering intelligence initiatives. Her technical skills are essential for developing actionable use cases from complex data.
Contributions to Heliostar® One-Shot Ablation Project
Efrat Israel contributed to the Heliostar® One-Shot Ablation project, where she focused on data analysis to enhance algorithm performance. Her role involved analyzing data to identify patterns and insights that could improve the effectiveness of the ablation technology. This project highlights her ability to apply data analytics in a practical setting, contributing to advancements in medical technology.