Aleksandr Eismont

I am a recent Computer Science Master's graduate from KIT, focused on Data Science and Databases, seeking roles in Data Engineering or Machine Learning Engineering. My Master's and Bachelor's theses emphasized knowledge-guided data science, complementing Big Data Analytics and Data Engineering coursework. During my academic projects, I developed a machine learning pipeline for a context-sensitive mobile app and navigated SQL data challenges, honing my data engineering skills. As a Student Research Assistant at KIT, I advanced my expertise in Python, Pandas, and TensorFlow by automating data preprocessing for LSTM models and optimizing multi-GPU cloud server computations. Motivated by a passion for data-driven solutions, my strengths lie in problem-solving, communication, and technology adaptation. I'm keen to explore new opportunities in data engineering, connecting with industry professionals to contribute and grow professionally.