As a master's student at the University of Siegen with nearly 3 years of professional IT experience,I completed my Thesis in the field of data science specifically for predictive Maintenance with IoT data sets, sensor data, and time-series data to detect potential impacts on the quality of products, door opening and closing time efficiency on workers especially in winters, and impact of Oven atmosphere on other facilities (energy consumption) by Utilizing time-series modeling techniques (e.g. ARIMA, SARIMAX, LSTM regression models) to forecast equipment failure and detect anomalies.I completed my Project Arbeit, focusing on the Internet of Things and Deep Learning. This project involved real-time IOT sensor data prediction to identify trends, seasonality, and fruit detection on a farm, utilizing deep learning and collaborating with an international team. This project also involved image formation with AI image generation. This experience honed my technical skills in deep learning and model integration, and it also enhanced my cross-cultural communication abilities. During my tenure as a Software Developer at IQVIA, I sharpened my skills in SQL, and Salesforce application testing using Selenium and machine learning. My experience in detecting anomalies in file processing and building a root cause analysis detector using one-class SVM showcased my problem-solving abilities. My journey in IT has instilled in me a leadership mindset and a passion for continuous growth. I am adept at creating test coverage, developing test cases, and devising test plans for releases. My academic focus on Data Science, Deep Learning, and AutoML has enriched my technical prowess.I successfully led the development of robust and scalable applications, showcasing my comprehensive understanding of both front-end and back-end technologies. My hands-on experience with Python and JavaScript aligns seamlessly with the technical requirements of the position. Additionally, I bring expertise in project management experience with DevOps tools like Docker, Kubernetes, and AWS. These skills along with my ability to communicate fluently in English make me a valuable asset to your team. Moreover, my Erasmus semester at Sapienza University in Rome provided valuable cloud computing and big data knowledge. Additionally, my time at Exactag Gmbh offered insights into German IT practices, focusing on automation, application testing, and bug assessment.