Data scientist · Researcher · Storyteller
I connect analytical rigor with human context—building predictive models, graph systems, and interactive tools that make evidence easier to understand and use.
Work at the intersection of
01 / Selected work
Each project begins with a real question and ends with something people can examine, challenge, and use.
A local observation became a county-scale location intelligence project. Site Scout brings together population, jobs, traffic, access, and nearby businesses to compare promising places with evidence—not instinct alone.
A graph model connects students, courses, sections, majors, and outcomes so analysts can study paths—not isolated rows. It reveals shared routes, critical transitions, and patterns that traditional tables tend to hide.
A practical framework for moving from impressive metrics to bounded, decision-ready claims—using threshold trade-offs, error analysis, reproducible evaluation, and operational context.
02 / How I work
The code matters. So do the assumptions, the context, and the way the result is communicated.
Start with the choice the analysis must support, the people affected, and the limits that matter.
Connect, clean, test, and model the data while making assumptions and uncertainty visible.
Turn complexity into a clear story, an interactive tool, or a repeatable workflow people can act on.
03 / Experience
My background spans institutional analytics, data engineering, scientific research, technical writing, and community leadership.
Download full résuméAlamo Colleges
Use Python, SQL, statistical methods, predictive modeling, and dashboards to turn complex institutional data into reliable decision support.
Women in Data
Lead a professional community through technical events, speaker sessions, career development, and accessible education in data and AI.
Refonte Learning
Built experience across ETL, workflow orchestration, relational and NoSQL systems, distributed processing, and cloud-oriented analytics.
Freelance
Translate machine learning, AI, and cloud analytics into clear, useful technical stories for broad audiences.
04 / Ideas in progress
My writing explores machine learning, graph thinking, education, and the human decisions behind analytical work. The goal is not to make complexity disappear—it is to make it understandable.
Visit my Medium05 / A little about me
I’m Rayan Yassminh, a San Antonio–based data scientist and higher education analyst with a Ph.D. in geophysics and a foundation in computer engineering.
My path across science, technology, education, and community work has taught me to look at problems from more than one angle. I care about rigorous analysis, clear communication, and building tools that help people make better decisions.