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Kimia Karamzadeh is a data engineer at Synvert Saracus Consulting since May 2022, with prior experience as a master student at INVITE GmbH, where significant contributions included full-stack development for a self-learning dosing project and machine learning implementation in Python. Previous roles include an internship at Bayer, focusing on statistical data analysis and machine learning in chemical engineering, and a graduate working student position at Ruhr-Universität Bochum, specializing in modeling and optimization using Electrochemical Impedance Spectroscopy. Kimia's earlier experiences encompass positions at PLACABI Co. and Amirkabir Pathology Laboratory, contributing to training organization, data analysis, and experimental supervision. Kimia holds a master's degree in Electrical Engineering from Ruhr University Bochum and a bachelor's degree in Biomedical Engineering from Islamic Azad University.