Laura Rose
Staff Data Scientist - Forecasting
Greater St. Louis United States
Summary
👤
Senior🎓
Top SchoolLaura Rose is a Staff Data Scientist specializing in demand forecasting with nine years of experience building cost-saving, production-ready forecasting systems using open-source tools. She has a strong track record in supply chain analytics—designing an R Shiny forecasting app and replacing an inadequate SaaS solution to save over $200k annually, while also cutting inventory and labor through automated R scripts. Equally comfortable with statistical and machine learning approaches (ARIMA, TBATS, autoregressive neural nets) and pragmatic engineering (R, SQL, Python, git), she leads cross-functional SIOP demand reviews and hierarchical data management. Her background in economics and hands-on econometric modeling enables her to bridge business strategy and technical rigor, and she brings Spanish fluency and Six Sigma discipline to operationalize forecasts globally. An understated strength is her focus on empowering forecasters with interactive controls, turning complex models into usable decision tools.
9 years of coding experience
2 years of employment as a software developer
Master of Arts (M.A.), Economics, Master of Arts (M.A.), Economics at University of Missouri-Saint Louis
English, Spanish
Github Skills (6)
linear-models9
r-language8
statistical-learning7
r7
textbook7
r-programming6
Programming languages (1)
Github contributions (5)
lcdarby06/Intro-to-ARIMA-R
Mar 2022 - Apr 2022
Contributions:13 commits, 10 pushes, 1 branch in 1 month
lcdarby06/FODS-Capstone-Project
May 2017 - Jul 2017
Contributions:76 pushes, 1 branch in 2 months
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