Freddy Ray Drennan

Education and Qualifications

  • 2014–2017: BBA Quantitative Finance with Minor in Math, The University of Texas at Austin
  • 2007–2008: Licensed Practical Nurse - Compact State License, Army Medical Department Center & Schools
  • 2006–2007: EMT - Combat Medical Technician, Army Medical Department Center & Schools

Employment History

  • AWS Console build with Shiny for for R Users at
  • Developed and manage the Quantitative Sciences R Infrastructure and Shiny Applications at BioMarin.
  • Maintenance of multiple production-based R packages and systems
  • R Programming Consultant and Educator.
  • Served as a trauma nurse in Kunar, Afghanistan.

2020-Present: Lead R Application Developer for Quantitative Sciences, Biomarin Pharmaceutical

  • AWS Cloud Infrastructure: Implemented and managed AWS services tailored for R applications, focusing on scale and performance. Migrated local infrastructure to AWS environments. Deep knowledge of distributed applications and management of them.
  • Quantitative Sciences Infrastructure: Generated the deployment architecture for multi-team, multi-project, multi-environment deployment using Gitlab/Gitlab Runner/nginx/Docker Compose.
  • R and R Shiny Development: Designed deeply robust and highly modular Shiny applications replicating posit-connect features. Ownership of team’s cloud architecture for distributed R applications.
  • Centralized Statistical Monitoring: Lead developer for R/Shiny backend for research trial data integrity. Collaborated with the chief bio-statistician for a new analysis plugin system.
  • Data Migration: Assisted in migrating SAS/R code from legacy Posit Connect solutions to AWS developing infrastructure as code. Adapted data retrieval from on-prem to Postgres containers.
  • SQL & Database Management: Managed databases using SQL to ensure efficient data flow within applications.
  • Testing: Oversaw all testing phases to ensure reliability of applications in real scenarios.
  • Nginx Integration: nginx for domain management and load balancing.

2021-Present: Founder,

  • Built a public AWS interface that launches R based infrastructure. The authentication is secure with two-factor, validates identity and registers the customer in stripe. The application renders content based on payment status - all built with Shiny.
  • Authoring a book titled “Foundations of Application Development” that documents the development processes and experiences regarding networking R applications, modules, server management, and web-design.

2019–2020: Business Analytics Manager, Logisticare

  • Logisticare Auto-Assignment: Engineered a program for rider-provider matching. Designed a containerized, R API model. Updated transportation recommendations.
  • Overrides Classification: Addressed a $300K/day issue with class imbalance. Predicted over 80% of the positive class using innovative feature engineering.

2018–2020: Data Scientist, Digital First Media

  • Omni-Channel Advertising Optimization: Unified Adwords, Facebook, and TTD optimization processes. Reduced campaign management time significantly.
  • Adtaxi R System Administration: Managed Quantum backend servers and administrative tasks. Built an R API framework saving costs annually.

2017–2018: Data Optimization Engineer, Digital First Media

  • QuantumR Package: Managed advertising campaigns for better ROI. Introduced Continuous Integration and Unit Testing.
  • Distributed ML with R and Caret: Established EC2 servers for ML data on AWS. Utilized Docker Compose and NGINX for traffic routing.
Updated: October 2023