Los Angeles, CA 323-***-**** email@example.com
Skilled at finding predictive trends, reaching significant decisions and conclusions from large data sets. Experience working with data sets as varied as AirBnb the LA City Mayors Office, and League of Legends Tournaments. Interested in innovative applications and analysis of big data, that key business decisions and increase profits.
E D U C AT I O N
University of California, Los Angeles Graduated June 2018
Bachelors of Science in Statistics
Chemical Structure, Mechanics Physics, Multivariate Regression Analysis, Computation and Optimization Statistics, Design and Analysis of Experiment, Probability Theory, Statistical Models, Mathematical Statistics, Computational Statistics in R, Multivariate Calculus, Linear Algebra, Differential Equations, Optimization in Computing, Data Mining, Monte Carlo Methods, Statistical Consulting, Geostatistics, Directed Research in Statistics, Electrical Engineering 3.
S K I L L S
Programming Languages: R, Python, SPSS, Stata, SAS, and C++
Proficient in Microsoft Office (Word, Excel, PowerPoint, etc.) and GitHub
Basic understanding of Spanish
E X P E R I E N C E
UCLA Residential Life Technology Center
Technology Consultant Dec. 2014 – Sept. 2018
Tutored students, from other majors, in statistics and programming R and SAS. Teaching them how to clean up large datasets, subset the most significant variables, then extract and utilize the data for predictive modeling.
Trained employees in the various software systems, and how to fix computer and printer issues.
Organize events such as the Tech Fair and the weekly computer lab event. Tech Fair showcases new technology. The lab event taught students how to connect tech with circuit boards.
P R O J E C T S
League of Legends Kaggle Data June 2018
Research question: Can we accurately predict if a team will win or lose based on when the first tower was taken down and which one it was?
Our data included the statistics of League of Legends competitive matches between 2015-2017. Including: NALCS, EULCS, LCK, LMS, and CBLoL leagues, the World Championship and Mid-Season Invitational tournaments.
We constructed a logistics regression model that displayed the illustrations of our results using various statistical packages in R-Markdown.