Professional Summary

Data Scientist with 7 years of experience solving problems with data using statistics, machine learning, and data visualization to find hidden patterns and develop reports to communicate results to data-minded people and other audiences. Strong appetite for learning new technologies and techniques as demonstrated by transitioning from a biologist to a programmer and statistician proficient in R/RStudio, Python, Git, Tableau, and SQL. Proven ability to effectively communicate results and tell stories with data through oral presentations and written publications.

Skill Highlights

Technical:
R/RStudio, Python (pandas, numpy, scikit learn, seaborn), Excel, SQL, Git, Spark (via Azure), HTML

Statistical:
Data visualization (e.g. Tableau, ggplot2) Deep Learning (Keras, Tensorflow) Machine Learning (Classification, Clustering, Natural Language Processing, Regression, Reinforcement Learning) Statistics (ANOVA, Dimension Reduction, Generalized Linear Models, Multivariate Statistics, Regression)

Professional Experience

Data Scientist
Coca-Cola Beverages Florida, Tampa, FL
2019 - present

  • Conducted ad hoc analyses in collaboration with managers from a variety of teams.
  • Employed machine learning models in to classify and group a variety of data.
  • Built R shiny apps to allow end-users to interact with models and refreshed dashboards.
  • Built statistical models including multiple types of regression, employed dimension-reduction techniques including nonmetric multidimensional scaling and factor analyses using R.
  • Merged, split, and transformed data using R and Python to facilitate statistical analyses and effective visualization of data.
  • Created weekly reports using R Markdown to accurately communicate results of analyses to research group.

Graduate Research Scientist
University of South Florida, Tampa, FL
2013 - 2018

  • Wrote and published an R package, Selectapref, which provides means to assess selection and preference among animal diets.
  • Selected and implemented statistical analyses best suited to field collected data and the relevant research questions.
  • Assisted fellow laboratory members and students with statistical analyses.
  • Wrote and reviewed manuscripts for publication in peer-reviewed journals.
  • Recipient of a Dissertation Completion Fellowship in recognition of my research and its applications.

Graduate Teaching Assistant
University of South Florida, Tampa, FL
2013 - 2017

  • Created new hands-on activities for undergraduate students in ecology, mammalogy, and vertebrate natural history laboratory course to further their understanding of scientific processes.
  • Devised lesson plans to develop students’ ability to think critically and apply analytical skills to complex problems.
  • Supervised students during laboratory and field activities.
  • Evaluated written assignments and provided recommendations on how to improve written communication of scientific findings.
  • Taught students to use Microsoft Excel to enter, format, transform, and analyze scientific data.
  • Prepared the laboratory space for each week’s activity that ensured that

STEM Academy Graudtae Mentor
University of South Florida
2015 - 2017

  • Facilitate the transition of advanced science major freshmen into university life by mentoring in an intensive weeklong pre-college program.
  • Led STEM Academy scholars in various programs designed to introduce them to strategies, techniques, and programs used across a variety of STEM fields.
  • Recipient of the USF STEM Academy Pipetting Star trophy, awarded to the graduate mentor whose group performed the best average standard curve obtained in an introductory pipetting module.

Education

Ph.D. in Ecology and Evolution
University of South Florida, 2018

BS in Biology
University of South Florida, 2013

Awards and Certifications

Data Analysis Workshop, University of South Florida
Outstanding Teaching Assistant Award, University of South Florida
Dissertation Completion Fellowship, University of South Florida