Independent practice · 2026

Turning data intodecisions that move.

I build practical data science, AI, and sales systems that turn good questions into clear next moves.

What I work on

Good analysis should feel usable long before it feels impressive.

My portfolio lives at the intersection of analytical rigor, practical AI, and revenue-minded systems. The goal is always the same: make complexity easier to use.

Let's make something useful

Selected work

( 01 — 03 )

Now live · Streamlit

01

Data Science / Forecasting

An interactive forecasting practice app that makes time-series exploration, modeling, and business interpretation tangible.

PythonStreamlitForecasting
Open the app

Featured · Business operations

02

Synthetic Q&A / Home DIY Repair Assistant

A synthetic question-and-answer assistant for practical home DIY repair guidance, built as a GitHub project.

Synthetic QADIY RepairGitHub
View on GitHub

Featured · AI engineering

03

AI-Powered Resume Coach / Synthetic Data Pipeline

A synthetic-data pipeline for creating diverse, structured training examples that support an AI-powered resume coach.

Synthetic DataResume AIPython
View on GitHub

A practical lens

Built for the handoff.

01

See clearly

Find the signal, name the question, and make the evidence legible.

02

Build simply

Use the smallest useful model, workflow, or tool that gets the job done.

03

Move together

Design for the people who need to act on the work—not just admire it.

Have a worthwhile problem?

Let's find the signal.