Miki Segall
About Miki Segall
Miki Segall is a Data Engineer with extensive experience in military intelligence and healthcare technology. He has worked in various roles at Israeli Military Intelligence before joining Aidoc Medical in 2019.
Work at Aidoc Medical
Miki Segall has been employed at Aidoc Medical as a Data Engineer since 2019. In this role, Segall focuses on leveraging data to enhance medical imaging solutions. Aidoc Medical is known for its advanced AI technology that assists radiologists in diagnosing medical conditions more efficiently. Segall's contributions are integral to the development and optimization of data-driven processes within the company.
Experience in Israeli Military Intelligence
Prior to joining Aidoc Medical, Miki Segall accumulated significant experience at Israeli Military Intelligence. Segall served as a Network Analysis Team Leader from 2016 to 2018, overseeing a team and managing network analysis projects. Before this role, Segall was a Course Instructor for nine months in 2015, where he was responsible for training personnel. Additionally, Segall worked as a Data Analyst from 2014 to 2015, focusing on data interpretation and analysis.
Education and Expertise
Miki Segall's educational background and expertise are rooted in data analysis and engineering. The experience gained through various roles in Israeli Military Intelligence has equipped Segall with skills in network analysis, data interpretation, and instructional methodologies. This foundation supports Segall's current work at Aidoc Medical, where data engineering plays a crucial role in developing AI solutions for healthcare.
Background in Data Analysis
Miki Segall has a solid background in data analysis, having worked as a Data Analyst at Israeli Military Intelligence from 2014 to 2015. In this position, Segall was involved in analyzing complex data sets, which laid the groundwork for future roles in data engineering and network analysis. This experience is reflected in Segall's current responsibilities at Aidoc Medical, where analytical skills are essential for optimizing data processes.