I've been working in data since 2015, concentrating on science and healthcare analytics. I've worked on a multitude of projects including

• Y2H - a Yeast-2-Hybrid biochemistry analysis that found enriched gene families from transcription factors and reporter data. Tools used: R, R-Shiny, hypergeometric enrichment

• averhealth - used de-identified toxicological tests and behavior information to predict relapse of patients. Tools used: R, R-Shiny, machine learning (random-forest, xgboost)

• DengAI - predicted disease spread of dengue fever in San Juan, Puerto Rico and Iquitos, Peru using environmental data such as vegetation levels, precipitation amounts, and temperature data on a week-by-week frequency. Tools used: R, machine learning (recursive neural network, ARMIAX, random-forest)