Resume

Below is my most up-to date and complete resume. You may also view a PDF of my resume.

Experience

Data Science & Development Consultant, The LARI Group, LLC

Remote; November 2017 – Present

LARI Life Settlements is a Life Settlement platform servicing Life Settlement Suppliers and Investors. LARI provides Life Insurance Agents/Producers with easy access to Life Settlement Investors looking to obtain insurance policies as alternative investments.

  • Contracted out to work independently or collaboratively on various projects: 
    • Exported insurance cases using Podio API, PHP, and Amazon Web Services (API & S3)
    • Extracted relevant conditions from medical files using Python and Natural Language Processing  
    • Developed an application to track case closings in Podio using Globiflow, PHP, and Procfu, which has processed ~$200 million dollars in face value and decreased closing time by thirty percent
    • Deployed an internal API on Google Cloud Platform to add industry specific functionality to Podio
  • Successfully employ time-management and communication skills to work remotely

Research Assistant, OSU College of Veterinary Sciences

Columbus, OH; Nov 2020 – May 2021

  • Perform exploratory data analysis and build supervised machine learning models on a lorikeet microbiome data set to predict lorikeet enteritis
  • Write methods and results for inclusion in presentations and publications

Research Assistant, OSU Cognitive and Systematic Musicology Laboratory

Columbus, OH; December 2018 – May 2019

  • Collaborating with graduate students on music research projects. Assisting with data and programming related tasks, as well as contributing to methodology formulation. 

Education

Ohio State University Icon

The Ohio State University (OSU), Columbus, OH

B.S., Data Analytics & B.A., Music

Overall GPA: 3.65 – Graduated May 2021

Skills

  • Programming: R (ggplot2, dplyr, tidyr, rvest, etc.), Python (Pandas, NumPy, Matplotlib, Scikit-learn), Java, C, SQL, PHP
  • Knowledge of computer hardware (built personal “hackintosh” in 2012)
  • Experience working with 3D printers: printing, maintenance, filament types, etc.

Leadership

2020 Big Data and Analytics Association (BDAA) – Education Director

  • Lead and coordinate hands-on workshops for student members on relevant data analytics topics:
    • Created and led a three-week bootcamp series, introducing 40–50 individuals to python, exploratory data analysis, and machine learning
    • Created and led a three-week “New to Analytics” series, educating ~50 members on basic exploratory data analysis and machine learning in R
    • Created and presented “Learning How to Learn: Data Science”, educating over 95 individuals on self-directed learning in the rapidly developing field of data science
    • Created and led a virtual Tableau workshop, showcasing Tableau dashboarding techniques to about 40 members

2018, 2019 Big Data and Analytics Association (BDAA) – Special Project Manager

  • Created and led a workshop teaching R and the Tidyverse to more than 60 BDAA members
  • Assisted education director in preparing and developing BDAA educational workshops
  • Communicated with several BDAA contacts and maintained a positive relationship with them

2019 Phi Mu Alpha Sinfonia, Beta Xi Chapter – Secretary

  • Prepared meeting agendas, took meeting minutes, and performed other clerical duties
  • Participated on the executive board

2017-2018 LGBTQ and Allied Mentoring – Student Mentor

  • Assisted younger LGBTQ* students in navigating college life with weekly mentorship meetings 

Presentations

Society for Music Perception and Cognition

New York, NY –  August 2019

“Performer-Generated Aspects of Musical Structure in Pop-rock” 

  • Co-authored with Nicholas Shea and Daniel Shanahan

Certifications & Awards

Data Analytics Relevant Coursework

  • Statistics: Probability for Data Analytics, Inference for Data Analytics, Statistical Modeling I & II, Bayesian Analysis, Statistical Learning
  • Database Systems & Data Management in the Cloud
  • Artificial Intelligence I & II
  • Data Mining
  • Network Science
  • Visual Analytics to Support Sensemaking
  • Computer Science Foundations I & II: Discrete Structures, Data Structures & Algorithms
  • Systems I (Programming in C and Assembly)
  • Math: Linear Algebra, Calculus I, Calculus II
  • Software I & Software II (Java Programming)

Activities