Teaching
My teaching philosophy centers on experiential, active, and project-based learning to build technical
expertise, critical thinking, and the ability to work independently and in teams. Students work with
real industry datasets, build predictive models using Python, SQL, Tableau, and Power BI, and complete
group projects that simulate authentic business problems, including demand forecasting, customer
segmentation, risk assessment, and systems analysis, before presenting actionable insights to
peers.
Instructor of Record
MIST.4060 · Data Mining for Business Intelligence
Undergraduate, In-person · Spring 2026 (4.3/5) · Fall 2025 (4.4/5) · Spring 2025 (4.3/5) · Fall 2024 (4.1/5)
Introduces the concepts and techniques of data mining and analytics for transforming raw data into
business intelligence and insight, so students gain working knowledge of data mining technologies
and how organizations use them for competitive advantage. Topics include data integration, data
transformation, classification, prediction, clustering, and association analysis, along with the
ethical issues surrounding data mining. Students work in RapidMiner and present findings from
applied, team-based projects.
MIST.3030 · Database Management Systems
Undergraduate, Online · Summer 2025 (4.9/5) · Summer 2024 (4.5/5) · Summer 2023 (4.0/5)
An introduction to databases and database management systems, covering the fundamentals of database
technology, SQL, logical and physical database design, interaction with a commercial DBMS, and data
warehousing. Delivered fully online with weekly optional chats, students build and query a working
database using Microsoft Access and SQL.
MIST.2010 · Business Information Systems
Undergraduate, In-person · Spring 2026 (4.3/5) · Fall 2025 (4.2/5) · Spring 2024 (4.3/5) · Fall 2023 (4.0/5)
A Manning School of Business foundation course covering the role of information systems and
technology in improving organizational performance, competing globally, and gaining competitive
advantage, including information management, business intelligence, business analytics, and
enterprise systems, plus the social and ethical issues they raise. Students get hands-on practice
with Microsoft Excel and Access to solve business problems.
Teaching Assistant
Various Courses
University of Massachusetts Lowell · Fall 2021 – Spring 2023
Advanced Machine Learning (Graduate, Spring 2023) · Management Information Systems
(Undergraduate, Spring 2023 & Fall 2022) · Statistics for Predictive Analytics
(Graduate, Fall 2022) · Systems Analysis and Design (Undergraduate, Spring 2022) ·
Operations Management (Undergraduate, Fall 2021) · Operations Fundamentals
(Undergraduate, Fall 2021).