Alex Shum ============================== alex@alshum.com www.ALShum.com ============================== ------------------------------ Professional Experience ------------------------------ ** Schneider Electric SE (Remote) - Sept 2015 - Present ** Data Scientist -Primary R/Shiny developer for machine learning web applications. -Integrated backend RESTful data services to front end within R/Shiny. -Designed, prototyped, developed and unit tested machine learning applications related to fault detection, forecasting and time series predictions. -Data visualization of time series data. -Performed regular code reviews ** Kingland Systems (Ames, IA) -Jan 2015 - Aug 2015 ** Research Assistant / Statistician -Predict software defect rates using machine learning. -Generalized linear models to model software engineering process variance. -Explained statistical concepts to non-technical audience. -Advised management on data cleaning, collection and experimental design. ** Schneider Electric SE (Cedar Rapids, IA) -May 2014 - Aug 2014 and May 2015 - Aug 2015 ** Data Science Intern -Machine learning to predict equipment malfunctions. -Built data visualization front end for time series data. -Created an R package to interface with internal API server. -Authored an online course for statistics in R, Markdown, Jekyll and Shiny. -Visualized internal company datasets using R, ggplot2, ggvis. -ANOVA gauge R&R to model engineering process variation. ** Iowa State University (Ames, IA) -Aug 2012 - Dec 2014 ** Teaching Assistant and Instructor -Primary instructor for Introduction to Statistics. Responsible for exams and lectures for over 90 undergraduate students. Prepared lecture materials, quizzes, midterms and finals. -Lab assistant for Business Statistics, Probability for Computer Science, Statistical Methods. Responsible for lab sections, grading and helping undergrad students. ** University of Hawaii (Honolulu, HI) -Jan 2010 - May 2012 ** Graduate Research Assistant and Tutor/Grader -Mathematical modeling and algorithm development in Mathematica. -Constructed and validated game theory models related to coalition formation. -Tutored students in calculus, linear algebra and differential equations. ** Hawaii National Bank (Honolulu, HI) -Dec 2008 - Jan 2010 ** Credit Analyst -Analyzed profit and loss statements and cash flow. -Authored reports about financial status of small businesses. ------------------------------ Skills ------------------------------ ** Data Science and Programming (Github: http://www.github.com/ALShum) ** Expert: R, Java, Shiny, ggplot2, knitr, rmarkdown, Git ** Basic: SQL, Hadoop, C, C++, Julia, Matlab, Mathematica, SAS, Javascript. ** Open Source Contributions (available on CRAN) ** rwunderground: R package to get historical and forecast weather data. - Available at https://cran.r-project.org/web/packages/rwunderground/ ** hashids: R package to generate YouTube-like hashes from integer vectors. - Available at https://cran.r-project.org/web/packages/hashids/ ------------------------------ Awards ------------------------------ ** 2015 Prudsys International Data Mining Cup 2nd/3rd place (out of 188 teams) - Competition to predict coupon usage for large online retailer. - Used adaboost/random forest for variable selection, LASSO for predictions. ** 2014 UseR! Data Visualization contest winning team. - Visualized OECD education data on topics of inequity. ------------------------------ Education ------------------------------ ** Iowa State University (Ames, IA) ** PhD, Statistics: 2014 - 2015 (currently on hiatus). ** MS, Statistics: 2012 - 2014 ** University of Hawaii (Honolulu, HI) ** Graduate Coursework in Math/Computer Science: 2010 - 2012 ** University of Puget Sound (Tacoma, WA) ** BA, Economics: 2004 - 2008