Teaching

I teach data mining, business analytics, and strategic technology management at Trinity Business School, bridging the gap between statistical theory and practical application.

Teaching Philosophy

I believe in teaching analytics through a hands-on, problem-driven approach. Students learn best when they can immediately apply statistical concepts to real business problems using modern tools and programming languages.

My courses emphasize practical R programming skills, critical thinking about data-driven decisions, and the ability to communicate analytical results to non-technical stakeholders.

Current Courses

Strategic Technology Management

BU7135 · Executive MBA · Semester 1 2024-2025

Current

An Executive MBA module examining how organizations can strategically manage technology to create competitive advantage, covering digital transformation, technology adoption, and innovation management.

Digital Transformation Strategy Technology Adoption & Diffusion Innovation Management Platform Business Models IT Governance Emerging Technologies

Data Mining

BU7150 · MSc Business Analytics · Semester 1 2024-2025

Current

An advanced course covering data mining techniques and their application to business problems. Students learn supervised and unsupervised learning methods, model evaluation, and practical implementation using R.

Classification & Regression Trees Random Forests & Ensemble Methods Clustering Association Rules Model Evaluation & Selection R Programming

Leading with Business Analytics and AI

BU8106 · Executive MBA · Semester 2 2024-2025

Current

An Executive MBA module focused on equipping senior leaders with the understanding and skills to leverage business analytics and artificial intelligence for strategic decision-making.

AI Strategy & Governance Data-Driven Decision Making Predictive Analytics for Executives Machine Learning Applications Ethics in AI Leading Analytics Teams

Past Courses

Data Mining

BU7143 · MSc Business Analytics · Semester 1 2021-2024

Past

An advanced course in data mining techniques for business analytics students, covering classification, clustering, and predictive modeling methods with implementation in R.

Classification & Regression Clustering Methods Model Evaluation R Programming

Forecasting

BU7144 · MSc Business Analytics · Semester 2 2021-2022

Past

A course on business forecasting methods, covering time series analysis, regression-based forecasting, and model evaluation for operational and strategic planning.

Time Series Analysis Exponential Smoothing ARIMA Models Forecast Evaluation

Strategy for Analytics

BU7145 · MSc Business Analytics · Semester 2 2021-2023

Past

A course examining how organizations develop and implement analytics strategies, covering analytics maturity models, organizational change, and the strategic deployment of data capabilities.

Analytics Strategy Organizational Change Analytics Maturity Models Data Governance

Operations Analytics

BU7706 · MSc Operations & SCM · Semester 1 2022-2023

Past

A course applying analytics methods to operations and supply chain management problems, covering demand forecasting, inventory optimization, and process analytics.

Demand Forecasting Inventory Analytics Process Optimization Supply Chain Analytics

Advanced Quantitative Methods

BU8017 · PhD Seminar · Semester 2 2021-2023

Past

A doctoral-level seminar covering advanced quantitative research methods, including structural equation modeling, mediation and moderation analysis, and predictive modeling for academic research.

Structural Equation Modeling PLS-SEM Mediation & Moderation Predictive Modeling

Information Systems and Data Management

BUU11550 · Bachelor of Business · Semester 1 2020-2022

Past

An undergraduate course introducing students to information systems concepts and data management fundamentals, covering databases, data modeling, and the role of IS in organizations.

Information Systems in Organizations Database Fundamentals Data Modeling SQL