Wissenschaftlicher Hilfskraft
Project: Customer Segmentation in Banking using Machine LearningTools: Python (NumPy, Pandas, SciKit, MatPlotLib), Power BI, Excel - Conducted data mining, cleaning, and processing of datasets, optimizing data quality for analysis- Applied machine learning and clustering algorithms to perform precise customer segmentation- Created custom reports via Power BI, for actionable insights to improve business strategiesProject: Image classification using NVIDIA Jetson Nano- Data Analysis and AI Model Building- Deployment of software solutions in areas of computer vision, edge computing in relation to machine learning with Python