Oliver Schaer

Assistant Professor at Drexel University

Philadelphia, Pennsylvania, United States
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Summary

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Senior
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Top School
Oliver Schaer is an Assistant Professor at Drexel University's LeBow College of Business who applies predictive analytics to marketing and operations, with a particular focus on using user-generated online content to improve new-product forecasting. He holds a PhD in Management Science from Lancaster and brings a decade of applied research and teaching experience from roles at UVA Darden and the Centre for Marketing Analytics and Forecasting. Complementing his academic work, Oliver runs a long-standing multimedia business producing photography, calendars, and event AV services—an entrepreneurial outlet through which he donates a large portion of proceeds to charity. He combines rigorous quantitative methods with practical deployment experience, mentoring data science capstone teams and providing consultancy for corporate forecasting challenges. Based in Philadelphia, he maintains an active scholarly presence (Google Scholar) and a public-facing portfolio that bridges research, industry, and creative practice.
code11 years of coding experience
job5 years of employment as a software developer
bookBachelor of Science (BSc) Business Administration with a Major in Controlling and Accounting, Bachelor of Science (BSc) Business Administration with a Major in Controlling and Accounting at Lucerne University of Applied Sciences and Arts
bookMediamatiker Business Administration and Information Technology, Mediamatiker Business Administration and Information Technology at HKV Aarau
bookDoctor of Philosophy (Ph.D.) Management Science, Doctor of Philosophy (Ph.D.) Management Science at Lancaster University
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Github Skills (16)

forecast10
r-package10
cran10
r9
state-space9
google-trends9
linear-models9
forecasting9
diffusion-models9
arima8
ets7
exponential-smoothing7
time-series6
google6
sdk2

Programming languages (2)

RPython

Github contributions (5)

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mamut86/diffusion

Feb 2017 - Nov 2020

R package for forecasting with diffusion models
Contributions:2 releases, 108 commits, 1 PR in 3 years 8 months
diffusion-modelsrr-packagediffusioncran
mamut86/tsutils

Jan 2019 - May 2025

The tsutils package for R provides functions to support various aspects of time series and forecasting modelling.
Contributions:2 PRs, 4 pushes in 6 years 5 months
forecastingtime-series-analysisaspectstime-seriesmodelling
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