jRE
Market analysis for Miami Springs and Virginia Gardens. Property histories over time, every fact traced to its source, and a review queue for doubtful records.
PostgreSQL 16FastAPIAngularDocker
● Business Intelligence · Data Science · Analytics Leadership
James
I turn ambiguous business questions into data infrastructure, models, and dashboards that executives and clients actually use. Then I build the software around them.
What I bring
Three jobs, one person
Most teams hire for these separately. I've done all three in the same week.
// lead
Analytics leadership
Founded the analytics functions at Overproof and AutoQuotes. Mentor analysts, run the executive conversation, present to clients.
- Power BI rollouts
- Industry reports
- Exec SME
// model
Data science
Statistics training from Carnegie Mellon. Customer health scores, venue profiling from menu data, forecasting and valuation.
- R
- Python
- Regression
- Forecasting
// ship
Software engineering
Full-stack since 2017. Data platforms, migrations to Snowflake, embedded dashboards, and my own products end to end.
- PostgreSQL
- Snowflake
- FastAPI
- Angular
- Docker
Now building
Current work
Side projects under jeby Industries, built alongside client work at JA Insights.
AppForge
An app that makes apps. A method and toolkit for building with AI coding agents: every defect becomes a documented case, a reusable rule, and an automated test.
AI agentsTest automation
Plantriloquist
A houseplant that roasts me and my friends. Raspberry Pi, mic array, speech recognition and neural voice, on a hardware-neutral character engine.
Raspberry PiSpeechPython
Where I've worked
Experience
Select a role to jump to it on the résumé timeline.
Get in touch
Hiring for BI or data science?
Résumé · updated Oct 2026
Career
Employment
Companies founded
Software projects
Teaching
Education
Carnegie Mellon University
B.S. Statistics, Computer Science concentration, 2019
Data Mining · Advanced Data Analysis · Regression Analysis · Statistical Computing · Graphics and Visualization · Great Theoretical Ideas in CS
Skills
Languages
R, Python, DAX, SQL, JavaScript, TypeScript, HTML, CSS
BI and data
Power BI, Azure Embedded, Looker, Snowflake, PostgreSQL, Excel, Minitab
Engineering
git, Jira, Angular, FastAPI, Docker, full-stack web
Also
- Tartan Data Science Cup, Organizer's Choice Award (most accurate predictions, undergraduate)
- Research: Predicting the Masses of Galaxy Clusters Using Weighted Linear Regression
- About ten years of tutoring, coding-camp lead, college TA
- Archery club president, 2016 · Sports Analytics Club treasurer, 2015–2016
- 6th place, Statistics Individual, Mu Alpha Theta Nationals, 2013
- SCUBA certified · English, Spanish (native), French (basic)
James David Eby
BUSINESS INTELLIGENCE · DATA SCIENCE · ANALYTICS LEADERSHIP
Summary
Business intelligence leader and data scientist with six-plus years turning ambiguous business questions into strategy, data infrastructure, statistical models, and customer-facing analytics. Statistics training (Carnegie Mellon) paired with hands-on software engineering. Founded two analytics functions, mentors analysts, and works directly with executives and clients. Bilingual English and Spanish.
Experience
Software projects
Business
Education and teaching
Carnegie Mellon University2019
B.S. Statistics, Computer Science concentration
- Coursework: Data Mining; Advanced Data Analysis; Regression Analysis; Statistical Computing; Graphics and Visualization; Great Theoretical Ideas in CS
- Teaching: roughly ten years of tutoring, coding-camp lead instructor, and college teaching assistant
Skills
- Languages
- R, Python, DAX, SQL, JavaScript, TypeScript, HTML, CSS
- BI and data
- Power BI, Azure Embedded, Looker, Snowflake, PostgreSQL, Excel, Minitab
- Engineering
- git, Jira, Angular, FastAPI, Docker, full-stack web development
- Spoken
- English (native), Spanish (native), French (basic)
Extracurricular
- Tartan Data Science Cup, "Organizer's Choice" Award (Most Accurate Predictions, Undergraduate)
- Research: "Predicting the Masses of Galaxy Clusters Using Weighted Linear Regression"
- Archery club president, 2016; Sports Analytics Club Treasurer, 2015–2016
- 6th place, Statistics Individual, Mu Alpha Theta National Convention, 2013
- SCUBA certified
Projects
Case studies
jRE analytics showcase, AppForge, Plantriloquist and Lighting Lab, each with the problem, the build and the results.
jebyLabs
The software side of jeby
Lighting Lab, AppForge and Plantriloquist. Product pages, release notes and downloads.
JA Insights
Data consulting for small businesses
Services, sample dashboards and how to book a call.
jeby Real Estate
Miami Springs and Virginia Gardens
Market reports and the jRE analytics showcase.
Drew
Chief Morale Officer
The dog in the QR code. Mascot gallery and the blep.