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Carlos Rubio-Marroquin

Carlos Rubio-Marroquin

Data science student turning analysis into decisions. Python, SQL, and a bias for communicating clearly.

Seeking new-grad data & analytics roles for 2027.

B.S. Informatics (Data Science) @ UW · Class of 2027

Projects

An AI agent I built in the open, and two systems running in production at work. All three turn a pile of data into something a person can act on.

Agentic Data Analyst

Live

An AI agent that answers plain-English questions about Seattle building-energy data. It looks up how the database is laid out, writes and runs its own SQL, calls a trained model, draws charts, and rewrites its own queries when they fail. Built directly on the Claude API, with no agent framework.

  • Python
  • Claude API
  • SQL
  • scikit-learn
  • Plotly
  • Cloud Run

Construction Bid Grading System

Live

An automated pipeline that finds and scores public construction bids for a security-systems contractor. It logs into three bid boards, OCRs every spec document, and has an LLM grade each bid against editable business rules, then routes the strongest leads to the right salesperson by territory. A dashboard lets non-engineers tune the rules behind a propose-and-approve workflow.

  • Python
  • Selenium
  • Flask
  • Claude API
  • EasyOCR
  • Docker
  • Azure

In production at FCP Insight. Source is private.

Timecard Visualization Service

Live

A Flask microservice that turns raw timecard exports into interactive charts: sunburst views of where labor hours actually go (realized vs. utilized vs. non-billable), and worked-vs-estimated hours per job phase. Post a batch of timecards, get back an embeddable Plotly chart. Ships through a Jenkins pipeline that tests, builds, and pushes the image to AWS ECR.

  • Python
  • Flask
  • pandas
  • Plotly
  • Docker
  • Jenkins
  • AWS ECR

In production at FCP Insight. Source is private.

About

I'm a data science student at the University of Washington working at the intersection of machine learning and data visualization, with a focus on turning analysis into decisions people can act on. I'm drawn to mission-driven and civic technology.

At FCP Insight I build Python dashboards and data tooling that surface operational trends and inform planning decisions. I'm looking for new-grad roles where modeling and clear communication both matter.

Skills

Languages
Python, SQL, Java, R
Data & ML
pandas, NumPy, scikit-learn, Plotly, Power BI
Web
HTML, CSS, JavaScript, React, Astro
Tools
Git, Docker, MySQL

Education

University of Washington

B.S. Informatics: Data Science

Minor in Business Administration (Foster School of Business)

Class of 2027 · GPA 3.7

Armon Dadgar & Joshua Kalla Scholarship