Statistics, Concentration in Biostatistics

Math and Economics with a minor in Statistics

• Analyze large clinical trial data sets via SPSS and R programming, and constructed mixed effect models to compare the drug effects with placebo on depression, emotions, cravings, and psychological factors.
• Prepares reports summarizing the data analysis results into tables and figures via LaTex.
• Reviews Case Report Forms for assigned projects to ensure data is collected appropriately to achieve the analysis defined in the protocol.
• Provides data modeling, pattern analysis, data visualization and continuous improvement of data analysis tools and methods used to evaluate data sets and set specifications.
• Collaborates with staff scientists in the design and development of protocols, and data management plans.

• Analyzed and merged large data sets from Google Adwords and the Marketing Department via Microsoft Excel and R programming to predict the expected number of applicants in the following academic terms.
• Measured and optimized ad views, clicks, and requests for information from various marketing channels. Apply data analysis techniques to identify trends and patterns via R programming.
• Constructed and compared random forest, logit, and linear regression models across multiple marketing sources, such as paid search, aggregators, and display.