Milos Acimovic
About Milos Acimovic
Milos Acimovic is a Data Scientist specializing in Computer Vision, currently employed at Daon in Belgrade, Serbia. He has previously worked at Agremo and Things Solver, and holds a Bachelor's degree in Computer Science from the University of Belgrade.
Current Role at Daon
Milos Acimovic serves as a Data Scientist specializing in Computer Vision at Daon. He has been in this role since 2023, contributing to projects that leverage advanced data analysis and machine learning techniques. His work focuses on developing innovative solutions that enhance the capabilities of Daon's offerings in identity verification and biometric technology. The hybrid work environment allows him to collaborate effectively with teams while also engaging in independent research and development.
Previous Experience at Agremo
Prior to his current position, Milos Acimovic worked at Agremo as a Computer Vision and Machine Learning Engineer from 2019 to 2023. During his four years at Agremo in Belgrade, Serbia, he applied his expertise in machine learning algorithms and computer vision technologies to improve agricultural analytics. His contributions included developing models that assist in crop monitoring and yield prediction, which are crucial for optimizing agricultural practices.
Experience at Things Solver
Milos Acimovic was employed as a Data Scientist at Things Solver, a member of ASEE, from 2018 to 2019. His tenure lasted nine months and took place on-site in Belgrade, Serbia. In this role, he focused on data analysis and the implementation of machine learning solutions, contributing to various projects that aimed to enhance data-driven decision-making processes within the organization.
Education in Computer Science
Milos Acimovic earned his Bachelor's degree in Computer Science from the University of Belgrade, where he studied from 2014 to 2018. His academic background provided him with a solid foundation in programming, algorithms, and data structures, which he has applied throughout his career in data science and machine learning. The knowledge gained during his studies has been instrumental in his professional development and contributions to the field.