Oliver Schaer
Assistant Professor at Schär Photo & Multimedia
Philadelphia, Pennsylvania, United States
Summary
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Senior🎓
Top SchoolOliver 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.
10 years of coding experience
5 years of employment as a software developer
Bachelor 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 ArtsMediamatiker Business Administration and Information Technology, Mediamatiker Business Administration and Information Technology at HKV AarauDoctor of Philosophy (Ph.D.) Management Science, Doctor of Philosophy (Ph.D.) Management Science at Lancaster University
Github Skills (20)
r-package10
forecast10
cran10
arima9
lifecycle9
r9
diffusion-models9
state-space9
ets9
tidymodels9
forecasting9
google-trends9
exponential-smoothing8
exponential8
time-series7
Programming languages (2)
Github contributions (5)
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
r-packageforecastingdiffusiondiffusion-modelstime-series
mamut86/tsutils
Jan 2019 - Mar 2025
The tsutils package for R provides functions to support various aspects of time series and forecasting modelling.
Contributions:2 PRs, 3 pushes in 6 years 3 months
forecastingtime-series-analysisaspectstime-seriesmodelling
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