Business Analytics
Advanced analytics techniques, data-driven decision making, and business intelligence strategies. From the analytics lifecycle to applied capstone projects.
Teaching Approach
I am an innovative educator who develops and implements evidence-based teaching practices that combine theoretical rigor with practical application. My teaching philosophy emphasizes clarity, engagement, and iterative learning—with strong student outcomes and recognition through teaching awards, conference presentations, and institutional contributions.
I have supervised over 100 graduate placements, capstones, and research projects across data analytics, artificial intelligence, and business intelligence. I teach at the undergraduate and graduate levels, with a focus on preparing students for real-world analytics challenges while fostering responsible use of AI and emerging technologies.
Areas of Expertise
Artificial Intelligence
AI applications in business, machine learning fundamentals, and ethical AI implementation. Practical guidance on responsible use, validation, and limitations.
Programming & Development
Python programming, SQL database development, and data engineering principles. Hands-on workflows for data wrangling, management, and visualization.
Research Methods
Research methodology, ethics in data science, and program evaluation techniques. Thesis development and applied study research.
Teaching Innovation
AI in the Classroom
Developed and integrated applied AI and analytics learning activities with explicit guidance on responsible use, validation, and limitations. Authored Navigating AI in the Classroom for the University of Lethbridge Teaching Centre. Contributed to institutional AI governance policies and the AI in Teaching and Learning Working Group.
Alternative Assessment
Pioneered negotiated grading, ungrading, and peer assessment. Co-authored research on educator experiences of negotiated grading (published in Canadian Journal for the Scholarship of Teaching and Learning). Presented at Spark Teaching Symposium on alternative grading and academic integrity in digital environments.
HyFlex & Flexible Learning
Expert in HyFlex course design and delivery. Published on HyFlex teaching in Light on Teaching and contributed to open educational resources for post-secondary faculty. Delivers courses in HyFlex format to support diverse learning needs.
Interactive Learning Tools
Integration of DataCamp, hands-on workshops, and real-world project work. Python/SQL/Excel workflows, templates, and worked examples to support iterative learning and formative feedback. Video feedback tools (e.g., Loom) for personalized engagement.
Industry Collaboration
Partnership with industry leaders through Mitacs placements, applied research projects, and capstone supervision. Students gain professional experience while tackling real organizational problems in analytics, AI, and digital transformation.
Public Teaching & Knowledge Mobilization
Delivered public-facing sessions that translate AI concepts into accessible, practice-oriented material—including City of Lethbridge workshops, Public Professor lectures, and coding camps for teens and community learners.
Teaching Recognition & Service
- Recognition at Spark Teaching Symposium for contributions to the Teaching Centre (University of Lethbridge)
- Member, CAFA Distinguished Teaching Award for Precarious Faculty Deliberation Panel
- Member, CPA Education Foundation Teaching Award Committee
- Teaching Effectiveness Committee
- AI in Teaching and Learning Working Group
- Invited to DataCamp Classrooms Teacher Ambassador program
Selected Courses (University of Lethbridge)
I teach a range of courses in business analytics, data science, and AI at the undergraduate and graduate levels. Key offerings include:
- BANA 5000 – Overview of Business Analytics – Introduction to the analytics lifecycle, from framing problems to evaluating analytical value, privacy, and ethical considerations.
- BANA 5050 / DASC 5050 – Data Wrangling – Profiling, cleaning, integrating, and reformatting heterogeneous data sources for analysis.
- BANA 5140 / DASC 5140 – Data Management – Data storage architectures, SQL, web connectors, and governance within an ethical framework.
- MGT 3850 – Emerging Technology / Data Transformation – Programming techniques for business data, automation, and visualization.
- MGT 4850 – Data, Databases & Applications – Advanced data structures, relational and non-relational systems, and analytics-enabled applications.
- BANA 6100 – Business Analytics Experiential Project – Capstone project tackling real organizational problems with analytics tools.
- MGT 5300 – Thesis Proposal Development – Guiding graduate students through defendable thesis proposals.
Courses are delivered in HyFlex format where applicable. I also offer independent studies in AI pipeline development, data strategy, and applied research. See Courses & Learning Resources for public-facing learning materials.