Data · Systems · Engineering
I'm a Principal Data Informatics Analyst with a foundation in project management, process improvement, and product delivery. My professional work spans analytics and business intelligence; outside that role, I build software and explore more reliable ways to work.
01 / Selected work
A small, growing collection of work and the thinking behind it.
Investigated unfamiliar transactional data, established analytical grain and relationships, and developed a Power BI reporting solution. Documented the design to support team understanding and maintenance.
Generalized professional example; implementation details are confidential.
Designed and delivered reporting for a new product offering, developing SQL transformations and technical documentation to help colleagues understand the solution.
Generalized professional example; no customer data or internal architecture is shared.
Exploring how version control, modularity, automated validation, and repeatable delivery can improve analytics development. I am starting this conversation with my manager and colleagues.
Early-stage exploration; organization-wide adoption is not claimed.
A Next.js and TypeScript website with reusable content, responsive styling, semantic HTML, and automated lint, typecheck, and build validation. Developed through Git and pull requests, with Vercel hosting.
Software development outside my professional analytics role.
View source on GitHub02 / Professional direction
Different disciplines, connected by a single question: how can we build it better?
I started in project management, bringing people, priorities, and delivery together. Earning my PMP in August 2018 strengthened my approach to planning, stakeholder alignment, and execution. Lean Six Sigma reinforced my interest in removing friction and repetitive work.
At Mitchell International, that interest led from Excel and VBA automation to Oracle SQL, Tableau, analytical data modeling, and reporting architecture. As a Senior Analyst, I developed Power BI expertise through self-directed learning and hands-on delivery.
Since my promotion to Principal on September 28, 2026, I am collaborating with my manager and colleagues to explore BI as Code. This is early-stage work; my personal software projects offer another place to learn, experiment, and build.
A project-management foundation, growing into technical ownership.
Collaborating with my manager and colleagues to explore BI as Code: version control, modular development, testing, and repeatable delivery for analytics. This work is at an early stage.
Independently owned complex reporting solutions, developed analytical data models, and introduced Power BI through self-directed learning and project delivery. Created technical design documentation for team knowledge sharing.
Developed Oracle SQL, Tableau, Excel, and VBA capabilities. Automated reporting verification, improved dashboard performance and accessibility, and documented reusable workflows.
Coordinated cloud-product customer onboarding and worked across operations, finance, and data teams to improve delivery and billing workflows.
Supported project managers and consistent project governance across clinical-trial supply programs, coordinating stakeholders and delivery.
Managed clinical-trial supply projects, bringing together customer requirements, schedules, and delivery coordination.
03 / Technical practice
The practices behind the work, plus the stack powering this site.
Analytics engineering
Current site stack
04 / Capabilities
Professional reporting and analytical problem-solving.
Practices developed through technical ownership of reporting.
Personal projects and continued learning.
A project-management foundation applied to technical work.
05 / Foundations & continued learning
BS, Management Science · 2014
Coursera · Issued Oct 2023
Amazon Web Services · Issued Sep 2022
Tableau · Issued Jun 2020
Scrum Alliance · Issued Dec 2019
GLSS (GoLeanSixSigma.com) · Issued Dec 2019
Project Management Institute · Issued Aug 2018
06 / Contact
I'm interested in thoughtful teams, useful problems, and the space where analytics meets software.