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Developed, tested, and maintained RShiny applications for semiconductor wafer fab production, utilizing R and Python for programming. Managed code documentation, project requirements, and design decisions, while performing integration testing and debugging to ensure software functionality. Deployed Git/GitHub for version control and collaboration, and Docker/Jenkins for application containerizatio

Conducted data analysis, documented findings, and presented results to customers, focusing on the development of data analytics products and services. Developed machine learning methods for sustainable data-driven solutions and operationally implemented these approaches into existing system landscapes. Analyzed and visualized customer data to identify trends, patterns, and anomalies, continuously

Built machine learning models and recommender systems using R and Python for the Witt-Gruppe online shop. Performed data visualization with ggplot2 and Power BI, and developed an application using RShiny. Conducted ETL processes with Airflow and utilized e-conda for online shop data analysis, collaborating with online marketing and e-commerce departments.

Studied advanced statistical methods including linear models, multivariate statistics, and time series analysis. Gained expertise in Bayesian networks, stochastic processes, and mathematical statistics. Master's thesis focused on Support Vector Machine, Random Forest, and Decision Tree algorithms, involving data simulation and performance comparison in regression and classification tasks.

Completed a comprehensive curriculum in mathematics, covering core areas such as linear and bilinear algebra, real and complex analysis, and differential geometry. Developed foundational knowledge in stochastics, topology, and functional analysis, alongside an introduction to C programming.