Tampa, FL · Open to remote opportunities

I turn complicated data into useful things.

I’m Jimmy Murray—a senior data scientist and AI builder who makes complex systems understandable, governable, and occasionally funny.

↘
TS/SCIClearance eligibility
M.S.Data Analytics
90%+Test coverage on production systems
1 goalMake the hard thing usable
Selected work

Built from curiosity.
Engineered for reality.

Projects that combine technical depth, product judgment, and an unreasonable desire to make the answer interesting.

01
Applied AI · Workflow orchestration

JAY-I

A governed coordination agent for small groups: rotating facilitators, tracking responses, drafting passage materials, and keeping humans in control of consequential decisions.

PythonFastAPIAgentsEmailGuardrails
↗Designed as a system, not a chatbot
02
NLP · Computational creativity

ComedyOS

A growing toolkit for analyzing and generating comedy—topic modeling, phonetic wordplay, assumption-breaking, and performance feedback—built around how working comedians actually write.

NLPPhoneticsPythonReactData Visualization
↗Where joke theory meets product design
03
Data product · Sports analytics

The NHL Neighborhood

An interactive way to see a century of hockey history as a changing neighborhood, translating franchise moves, seasons, wins, and playoff runs into a visual system anyone can explore.

StreamlitPythonGeospatialVisualization
↗Complex history, made legible
04
Machine learning · Language

Average Names

A phonetic modeling experiment that represents names in ARPABET and IPA, aligns syllables, averages consonant and vowel features, and finds the nearest pronounceable result.

ARPABETIPAFeature EngineeringClustering
↗A silly question answered rigorously
The throughline

Serious systems.
Human delivery.

My best work lives between “technically difficult” and “people actually need to use this.”

I’ve built data products and AI-enabled applications in federal environments, shaped analytics from messy source data, and translated the results for stakeholders who do not want a lecture on the model.

The comedy background is not an extracurricular footnote. It means I pay attention to timing, assumptions, audience, and whether an idea lands—the same things that separate a clever prototype from a useful product.

Capabilities

Enough stack.
More signal.

01

Modeling

NLP, anomaly detection, gradient boosting, clustering, feature engineering

02

Data

Advanced SQL, wrangling, cleansing, analytics, real-time visualization

03

Products

React, FastAPI, Streamlit, APIs, agent workflows, human-in-the-loop systems

04

Platforms

Databricks, Qlik Sense, PostgreSQL, Plotly, D3, cloud environments

Let’s make something useful

Have a hard problem?
I like those.

Data science, applied AI, NLP, product-minded engineering—or a problem that does not fit neatly in a job description.

Start a conversation ↗ Available for the right remote role