Teaching

Big Data & Machine Learning in Economic and Finance Research

Ph.D. Course, Nova School of Business and Economics, 2021

Ph.D.-level course covering big data methods and machine learning techniques applied to economic and finance research.

M.S. Course, Nova School of Business and Economics, 2020

Introduction to programming for data science, covering Python fundamentals and data analysis libraries.

M.S. Course, Nova School of Business and Economics, 2019

Graduate-level machine learning course covering supervised and unsupervised learning, deep learning, and applications to business problems.

Executive Education, Nova School of Business and Economics, 2019

Executive education program on big data and business analytics for practitioners and managers.

M.S. Course, Nova School of Business and Economics, 2018

Graduate-level course on data visualization principles and tools for communicating data-driven insights.

M.S. Course, Nova School of Business and Economics, 2018

Graduate-level course covering data collection, cleaning, integration, and preparation techniques for data science workflows.

M.S. Course (Teaching Assistant), Carnegie Mellon University, 2013

Teaching assistant for graduate course on innovation management in practice.

M.S. Course (Teaching Assistant), Carnegie Mellon University, 2012

Teaching assistant for graduate course on engineering and technology innovation management.