Stephen Owen Email & Phone Number

Pasadena, California, Us

Richmond, Virginia, Us

- Managed ad-hoc reporting process improvements, decreasing time spent on day-to-day reporting by 80%.- Created robust data-modeling pipelines, ensuring data integrity from ERP level data to production-ready semantic models.- Developed bespoke high-visibility reporting tools to support company-wide KPI tracking, decreasing average report creation time by 94%.- Worked directly with executive leadership to support sales reporting initiatives through interactive PowerBI dashboards.- Managed enterprise BI workspace environments, including permissions handling, data security, and user management.

- Developed tools to analyze & track blockchain activity, using transaction data sourced from APIs to detect fraudulent activity with a high degree of accuracy utilizing gradient boosted decision trees.- Constructed a machine learning system based on convolutional neural networks to use data sets of high pixel-density images in order to analyze photographs and make real-time adjustment recommendations in portrait photography applications.- Created tools for aiding in the automated creation and tracking of digital collectibles in public blockchain environments and the display of their activity through interactive dashboards.

University Of Richmond, Va, Us

- Directed research on methods for preventing machine learning model subversion in voice processing systems.- Worked with faculty members to develop, rigorously test & mathematically prove novel approaches in the field.- Managed new research students, including teaching introductory seminars in machine learning as well as teaching novel concepts to newer and less-technical students.- Managed code repositories, overseeing & reviewing student submitted additions to the research team’s code-base.- Oversaw the construction & editing of internal technical documentation.

Glen Allen, Virginia, Us

- Analyzed hospital system purchase records from multiple countries, often cleaning & merging data sets with more than 2 million entries.- Developed custom tooling to highlight KPIs, purchase patterns, & inventory trends in order to optimize ordering time/frequency and reduce future logistics costs.- Created a personalized ETL pipeline, reducing future data ingestion time by over 90%.- Summarized insights through technical write-ups and interactive visualizations, with highlights reported directly to senior partners.

University Of Richmond, Va, Us

- Worked with faculty and other students to test and develop novel methods in discovering weaknesses in machine learning models and protecting them from subversion.- Rigorously analyzed relevant academic publications to re-create the methods described by these papers.- Used the insight gained from re-creating existing academic material to develop our own approaches.