Ioan Bratu Email & Phone Number

Check me out on Kaggle: kaggle.com/ioancristianbratu🔍 Data Science, Process Mining and Artificial Intelligence Enthusiast | RWTH Aachen UniversityAs a dedicated Computer Science student at RWTH Aachen University, I am driven by an immense curiosity for the possibilities and challenges that data presents. My academic journey is concentrated on Artificial Intelligence and Process Mining.🎓 Education:Currently enrolled in Data Science, I have focused on gaining proficiency in AI and Machine Learning by taking courses in this field . My academic pursuits have provided me with a solid foundation, fostering both theoretical understanding and essential practical skills for navigating the dynamic landscape of Data Science.🌐 Learning Opportunities:I have had the privilege of participating in courses offered by the Chair for Process and Data Science, led by esteemed Prof. Wil van der Aalst. This experience has exposed me to the integration of Data Science with Process Science, employing the use of cutting-edge tools like Celonis. These courses have equipped me with a deep understanding of data-driven processes and the infinite opportunities that lie in their optimization.🌐 Aspiring AI Specialist:My journey in Data Science is a continuous exploration, and I am determined to evolve into a seasoned Artificial Intelligence specialist. I am very keen on applying my skills, contribute to interesting and innovative projects, and stay up to date with the latest advancements in this rapidly evolving field.During the following highly relevant courses I've taken, I've had hands-on experience with:(programming)- Programming: Java concepts, from introductory to advanced elements, git- WebTech: HTML, CSS, JS, Node.js, MongoDB(data and artificial intelligence)- Intro to Data Science: various data analysis techniques, ANNs, Big Data, NLP, python, numpy, scipy, pandas, docker, spark, hadoop- Databases and Information Systems: designing, creating and maintaining relational and non-relational databases, SQL, SPARQL, Resource Description Framework (RDF)- Semantic Web: Resource Description Framework (RDF), SPARQL, SHACL- Machine Learning: SVMs, ANNs, CNNs, RNNs, python, numpy, pandas, scipy(business / process intelligence)- Business Process Intelligence: Process Mining, Petri Nets, Celonis, RapidMiner- Business Process Management: Business Process Model and Notation (BPMN), Camunda, process analysis, redesign and improvement