David Whiting

Experience

• 

  Utah Valley University

  Dec 2015 - May 2017

  Math/Statistics Tutor

  • Assisted students with statistics, calculus, college algebra, and lower level math courses• Implemented strategies from monthly trainings to effectively mentor between 10 to 30 students a week• Created survey with team of statistics tutors and assistant director to get feedback on Math Lab

• 

  Texas A&M University

  May 2017 - Dec 2018

  Graduate Teaching Assistant Statistics Department

  • Graded graduate level statistical computing (SAS/R) courses• Integrated statistical concepts with real-life examples to enhance student comprehension• Assisted students with statistical computing in R and JMP• Conducted weekly help sessions for 2 graduate and 6 undergrad statistics courses with 70-100 students

• 

  Discover Financial Services

  May 2018 - Aug 2018

  Data Analytics Intern

  • Developed fraud model in SAS with estimated worth of $2.3 to $4.7 million per year; Presented to VP

• 

  SchoolsFirst Federal Credit Union

  Mar 2019 - Dec 2021

  • Developed auto and credit card loss models utilized to project losses for CECL and Capital Planning• Ensured models were stable using model monitoring process with meticulous documentation• Optimized code to perform existing process in less time while using 1/3 of the amount of code • Independently created real estate credit loss models while collaborating with Credit Risk• Compiled monthly Financial Contingency Triggers report for ALCO and KPI report for senior management using Microsoft Excel• Developed ARIMAX models utilized for forecasting multiple portfolios within Capital Planning

  • Senior Statistical Data Analyst

    Sept 2021 - Dec 2021

  • Statistical Data Analyst

    Mar 2019 - Sept 2021
• 

  KeyBank

  Jan 2022 - Mar 2022

  Quantitative Analytics Lead Associate

  • Utilized Python and SAS to wrangle data and perform exploratory data analysis for new account fraud• Performed ongoing model monitoring to ensure model stability for current models in production

• 

  SONAR

  May 2022 - now

  Revamped ETL/ELT data pipelines to new infrastructure using data task orchestration via Airflow and data modeling within DBT, resulting in more maintainable pipelinesExperienced in interacting with APIs, SFTPs, and various cloud storage platformsRegularly utilize Git and GitHub for version control and team collaborationMigrated Airflow DAGs using Exavault SFTP to Filemage, saving $600 per monthEnhanced Airflow dedupe operator by adding time window parameters, resulting in major cost savingsRound-the-clock monitoring/troubleshooting of data pipelines to ensure customer satisfactionDeveloped internal API endpoints using Python and FastAPI to retrieve data from PostgresSQL, Utilized within GUI Show less

  • Data Engineer

    Jul 2023 - now

  • Data Scientist

    May 2022 - Oct 2023