Teaching, for me, is about inspiring curiosity and building confidence. I view education as more than the transfer of information; it’s about helping students discover how to learn, think critically, and create. Every class is an opportunity to connect concepts with real-world meaning and to show students that technology can be a force for both innovation and positive change.
Students learn best when they are actively engaged in the learning process. In my classes, whether it’s Python programming, database design, or artificial intelligence, I encourage students to experiment, build, and test ideas. Each project mirrors real-world challenges, analyzing data to inform business decisions, designing an AI model for healthcare applications, or managing a simulated software project. This approach keeps learning practical and memorable.
My professional background in data management and information systems enables me to bridge theory with practical application. I integrate industry-standard tools and case studies so students can see how the skills they’re learning apply directly to today’s workplace. When students complete a project, they don’t just earn a grade—they gain something they can show to an employer or include in a professional portfolio.
Technology fields thrive on diversity of thought. I strive to create a classroom environment where every student—regardless of their background feels supported and capable of achieving success. I mentor students one-on-one, guide independent research, and create space for different learning styles. Many of my students go on to pursue advanced studies or careers in data analytics and AI, and I stay connected to support their growth.
AI and data are changing how we live and learn. I utilize AI tools in my teaching to make learning more adaptive and personalized, offering tailored feedback, instant examples, and more intelligent analytics. I want my students not only to understand artificial intelligence, but also to experience how it can enhance learning itself.
I constantly refine my courses based on student feedback, new technologies, and evolving industry standards. Each semester presents an opportunity to enhance the learning experience by making it more engaging, inclusive, and relevant. My goal is to cultivate lifelong learners who can adapt to new tools, think critically, and approach complex problems with creativity and integrity.
Courses I Teach and Have Developed
Explores the strategic role of emerging technologies in transforming business operations, communication, and decision-making. Students analyze case studies on digital transformation, AI integration, and data-driven strategy.
Focuses on the principles and tools of managing software-intensive projects using both traditional and agile methodologies. Emphasizes project planning, scheduling, cost estimation, and risk management through real-world simulations
Introduces fundamental data mining techniques and machine learning algorithms for extracting patterns and insights from large datasets. Students use Python and R for classification, clustering, and predictive analytics projects.
A capstone research course guiding students in independent inquiry on business or data analytics topics. Students develop a research proposal, conduct analysis, and present findings in a formal research paper.
Provides a foundational understanding of artificial intelligence concepts, including search algorithms, logic, and knowledge representation. Students explore AI applications in robotics, natural language processing, and intelligent systems.
Explores advanced AI topics such as deep learning, computer vision, and reinforcement learning. Includes Python-based hands-on projects implementing neural networks for classification and prediction.
Covers supervised and unsupervised learning, model evaluation, and deployment. Students apply algorithms to real-world datasets using TensorFlow and Scikit-learn, emphasizing ethical AI and model interpretability.
Examines data modeling, relational databases, and SQL fundamentals. Students design and implement databases for enterprise applications and explore topics like normalization, indexing, and query optimization.