Hello, my name is

Owen D. Waters

Data Scientist

  • Odwaters474@gmail.com
Tori & Owen
About me

I use statistics to solve business problems

A data professional with a Master’s in Statistics and a habit of asking “but does this actually matter?” I work in an analyst/PM role and am actively transitioning into data science in healthcare, where rigor, context, and consequences all count.

I like messy data, clear thinking, and models that explain themselves. My interests sit at the intersection of statistics, programming, and real-world decision-making, especially when the outcome affects patient care or system efficiency.

This site is my portfolio, notebook, and sandbox—projects, writing, and lessons learned while turning statistical theory into practical impact.

What I do

I approach data science with an emphasis on rigor, context, and impact. I focus on aligning analysis and modeling with the underlying decision at hand, producing statistically sound insights that hold up in real-world use.

Exploratory analysis

Interrogate messy, real-world data to uncover patterns, anomalies, and limitations—and to understand what questions the data can (and can’t) answer.

programming predictive models

Build statistical and machine learning models in Python or R, with an emphasis on interpretability, evaluation, and real-world constraints, not just accuracy.

Operationalizing data insights

Move insights out of notebooks and into practice—through clear narratives, metrics, and actionable recommendations.

Skills

Python

Applied in PanadaSQL EDA of Cancer outcomes and Kidney Failure prediction modelling

RStudio

Applied a range of statistical modeling techniques through graduate-level coursework and projects

SQL

Applied in a professional setting for data preprocessing, ad hoc analysis, and answering operational and reporting questions.

My Experience

2023 - Current

SelectQuote

Healthcare Workflow Operations Manager II

Leveraged predictive analytics to identify operational bottlenecks, directly contributing to a cross-functional strategy that drove $250M in annual revenue growth.

2023

Johnson County Clinical Trials

Clinical Data Coordinator

Ensured 100% protocol compliance and data integrity for clinical trials by performing rigorous exploratory data analysis (EDA) and multi-source data cleaning.

2020-2023

Thermo Fisher Scientific

Quality Control analyst

Developed automated data funnels and Tableau dashboards to visualize real-time manufacturing KPIs, replacing manual reporting and increasing oversight transparency.

Projects

Blogs