Robert H. Smith School of Business, University of Maryland - College Park

Data Analysis (2023 - Present)

• Core course for Online MBA students

• Topics covered in the course: descriptive statistics and probability, data visualization, confidence interval, hypothesis testing, linear regression, forecasting 

Data Visualization and Web Analytics (2022 - Present)

• Core course for M.S. in Business Analytics and M.S. in Information Systems students

• Evaluation: 3.7/4 in 2022

• Topics covered in the course: exploratory analysis, explanatory analysis, visual cues, visualization in R and Tableau, networks, google analytics, dynamic dashboard and stories, story telling with data.

UCL School of Management

Data Analytics II (2017 - 2020, Course leader and instrtuctor)

• Second year core course for BS.c. Management Science students

• Evaluation: 4.1/5 in 2017, 4.3/5 in 2018, 4.5/5 in 2019

• Topics covered in the course: time series forecasting; regressions; tree-based models (CART, random forest abd xgboost); ensemble techniques (robust means and stacking); text analysis (Lemmatization, word cloud and sentiment analysis); cloud computing.

• Sample case studies dicussed in class: Yahoo's acquisiton of Tumblr (predict Tumblr's monthly audience growth); Predicting Finnie Mae's loan default rates; Tweets, retweets, and entrepreneurship (download tweets from Twitter's API and predict the number of retweets based on a tweet's sentiment score).

London Business School

Project Management (2014 - 2018, Workshop teacher and teaching assistant)

• Elective course for MBA and EMBA students

• Teach students to apply Excel, Microsoft Project and @risk to plan and track projects in workshops.