Gema Castillo Sanchez is a researcher and educator with a doctorate in Information Technology and Telecommunications. Her career combines applied research, data analytics, machine learning, and innovative teaching in higher education. She has developed practical learning materials including Jupyter Notebook exercises using logistic regression with cybersecurity datasets to help students understand predictive modeling, Python programming, and analytical reasoning through real-world examples. She has taught courses in databases, data analytics, research methods, IA Fundamentals and data management, emphasizing clarity, problem-solving, and hands-on practice. She frequently integrates tools such as Power BI, Python, and interactive H5P resources within Moodle, creating accessible, structured modules that support active learning. Castillo Sanchez also supervises undergraduate thesis projects, guiding students through research design, data analysis, and academic writing while encouraging rigor and independence. Beyond teaching, she engages in academic outreach and activities that introduce learners to technological challenges and current trends in data science. Her professional experience working with hospital data in Spain enriches her teaching by providing concrete examples of data management and real-world institutional practices.