Max

Research Assistant 2

Seattle University•  September 2021 - Present

● Assisted Professor with instructing Python programming I class. Held office hours to assist students one-on-one with programming and computer science questions. ● Designed a web scraping program to extract, transform, and load data used in academic research. ● Utilized PySpark to reduce run-time of fuzzy-matching process by ~90%

Data Engineering Intern

Netflix•  June 2021 - September 2021

Worked within the Core Data Science and Engineering Team, which provides tooling and services for other data engineering teams. ● Contributed to existing python-based internal CLI tool, adding table sampling functionality. ● Developed unit testing library for executing PySpark and Spark SQL code within isolated Spark sessions, extensively reducing man-hours spent on manual creation of test data. ● Produced and presented a live coding demo as the primary speaker for an internal webinar, with an audience of ~50.

Junior Data Engineer

SEIU 775 Benefits Group•  April 2019 - August 2020

SEIU 775 Benefits Group is a non-profit dedicated to providing training, health benefits, and retirement services to the homecare workers of Washington state. ● Assisted in designing a publish/subscribe record transfer orchestration system using Dell Boomi, AWS SNS, SQS, Lambda, and S3 within an Scrum Agile framework. ● Created an end-to-end process to asynchronously export modified records to be read by external microservice via SNS. ● Created an end-to-end process to asynchronously receive records via SNS, performing upsert logic within a MySQL database. ● Acquired the entirety of the organization’s external communication records via external APIs using Python. Created ETL data transfer processes using AWS Lambda, S3, and Redshift.

Seattle University

Business Analytics, MS•  September 2021 - January 2022

● Coordinated team to refine a multiple regression model predicting Seattle Metropolitan housing prices using R. ● Coursework included modeling using ANNs, SVMs, Decision Trees, Regression Analysis, and Bayesian Networks.