Ivana Munjas
About Ivana Munjas
Ivana Munjas is a Data Scientist specializing in Computer Vision, currently employed at Daon in Belgrade, Serbia. She has a strong academic background from the University of Belgrade and has held various research and data science positions, including internships at EPFL and Rice University.
Current Role at Daon
Ivana Munjas currently holds the position of Data Scientist specializing in Computer Vision at Daon. She has been with the company since 2023, contributing her expertise in data analysis and machine learning. Her role involves leveraging computer vision techniques to enhance data-driven solutions within the organization, based in Belgrade, Serbia.
Previous Experience in Data Science
Before joining Daon, Ivana Munjas worked as a Data Scientist at RealStaq, Inc. from 2020 to 2023. In this role, she applied her skills in data analysis and modeling to support various projects. Additionally, she served as a Data Analyst at United.Cloud for one year, from 2019 to 2020, where she focused on data interpretation and reporting.
Research Experience
Ivana Munjas has a background in research, having worked as a Summer Research Intern at EPFL (École polytechnique fédérale de Lausanne) for three months in 2021. She also held the position of Research Fellow at Rice University in 2018 for three months. These experiences contributed to her knowledge in data science and computer vision.
Educational Background
Ivana Munjas earned her Bachelor's degree in Signals and Systems from the University of Belgrade, School of Electrical Engineering, completing her studies from 2015 to 2019. She furthered her education by obtaining a Master's degree in the same field from 2019 to 2021 at the same institution. This academic foundation has equipped her with essential skills in electrical engineering and data analysis.
Teaching Experience
During her studies, Ivana Munjas worked as a Student Demonstrator at the University of Belgrade, School of Electrical Engineering from 2017 to 2019. In this role, she assisted in teaching and supporting students, enhancing her communication and instructional skills in the field of electrical engineering.