Shivansh Sharma

Motivated MSc Computer Science student at Albert-Ludwigs-Universität Freiburg, specializing in Artificial Intelligence, with a strong foundation in data science and big data analytics from my undergraduate studies. Currently in my first semester, I am focusing on Deep Learning and Machine Learning, which complement my passion for exploring innovative AI solutions. With my background in computer science and specialization in big data, I am eager to apply advanced AI methodologies to real-world challenges and contribute to data-driven projects.

Software Developer with 6 months of experience in developing data pipelines using Kafka and Zookeeper. Skilled in designing and optimizing data flow systems to handle large-scale data efficiently. Additionally, I hold a KPMG Virtual Internship certificate from Forge, which focused on data analytics, further enhancing my expertise in data-driven decision-making and analysis.

Completed training at the Physical Research Laboratory (PRL) in India, under the Department of Space. During this training, I focused on developing machine learning models using Astropy libraries, gaining hands-on experience in applying ML techniques to astrophysical data. This experience enhanced my understanding of data analysis and model development in a scientific research environment.