As a data science enthusiast, I am pursuing my master's degree in digital engineering with a focus on data science at Otto-von-Guericke University Magdeburg. My goal is to apply my skills and knowledge in machine learning, computer vision, deep learning, and natural language processing to solve real-world problems and create value.Currently, I am working as a studentische hilfskräfte at DZHW, where I support the research and analysis of higher education and science studies. My Master Thesis focusses on Fact Checking Health Related Claims using Language models such as BioBERT, BioGPT etc. It also focusses on generating Natural Language Justifications for the NLI predictions. Previously, I was a data science intern at Wintershall Dea, where I developed a novel 3D image reconstruction method using CycleGAN, EDSR, and a unique consistency loss function. I also interpolated the translated MicroCT-SEM images using various interpolation techniques. Additionally, I have over three years of experience as a quality assurance engineer, where I worked intensively with Tricentis TOSCA and in the payments banking domain. I also implemented test cases using Flutter Integration testing package for neotivCare and neotivTrials app.I am passionate about learning new technologies and tools, and I have acquired multiple certifications in Tricentis TOSCA, Tosca Query Language, and Dialogflow. I am also proficient in Azure DevOps Services, Plotly, Streamlit and various programming languages. I am fluent in English. I am eager to collaborate with other professionals and contribute to the field of data science.