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# Julio Diaz

**Headline:** Car wash / Detailing Associate \(Part-Time / Seasonal\)
**Profession:** Car wash / Detailing Associate \(Part-Time / Seasonal\)
**Location:** Berkeley, CA, USA

## About

Julio Diaz is a University of California, Berkeley Bachelor of Arts in Statistics graduate with experience across research operations, full-stack engineering, data engineering, aerospace, mechanical engineering, avionics, teaching, and seasonal service work. Julio currently works part-time and seasonally as a Car Wash / Detailing Associate at a local car wash and tinting business and as a Baker at a local bakery. Julio is strongest in end-to-end data analysis: independently cleaning and standardizing messy data, selecting predictors, building regression and risk models, creating visualizations, and translating technical findings for general audiences. Julio uses Python, Pandas, and scikit-learn for data preparation and modeling and enjoys every stage of the analytical process, from raw data through conclusions and presentation. Julio’s experience also includes internships in Research Operations / Full-Stack Engineering and Data Engineering at Planned Quest, a summer internship in tech education, and engineering roles with Space Enterprise at Berkeley, CalSol, and Space Technologies and Rocketry at Berkeley.

## Highlights

- Led technical analysis for a San Mateo housing-insecurity research project from data through conclusions.
- Owned segmented risk analysis for vulnerable communities in the San Mateo project.
- Built regression models and risk models using predictor selection.
- Independently created data-cleaning and standardization pipelines.
- Used Python, Pandas, and scikit-learn for data cleaning and modeling.
- Created data visualizations for analysis and presentation.
- Translated technical data insights for general audiences.
- Owned end-to-end data analysis projects from messy data to insights.
- Served as a Research Operations Intern focused on Full-Stack Engineering at Planned Quest.
- Served as a Data Engineering Intern at Planned Quest.
- Completed a summer internship in technology education.
- Served as a Teaching Intern for The Beauty and Joy of Computing \(CS10\).
- Worked as an Aerospace Engineer at Space Enterprise at Berkeley.
- Worked as a Mechanical Engineer at CalSol – UC Berkeley Solar Vehicle Team.
- Worked as an Avionics Systems Engineer at Space Technologies and Rocketry at Berkeley.
- Currently works part-time and seasonally as a Car Wash / Detailing Associate at a local car wash and tinting business.
- Currently works part-time and seasonally as a Baker at a local bakery.
- Earned a Bachelor of Arts in Statistics from the University of California, Berkeley.

## Experience

- **Car wash / Detailing Associate \(Part-Time / Seasonal\) at Local Car Wash and Tinting** (2023-01-01–present)
- **Baker \(Part-Time / Seasonal\) at Local Bakery** (2019-01-01–present)
- **Research Operations Intern - Full-Stack Engineering at Planned Quest** (2026-01-01–2026-01-01)
- **Data Engineering Intern at Planned Quest** (2025-01-01–2025-01-01)
- **Aerospace Engineer at Space Enterprise at Berkeley** (2025-01-01–2026-01-01)
- **Avionics Systems Engineer at Space Technologies and Rocketry at Berkeley** (2024-01-01–2024-01-01)
- **Mechanical Engineer at CalSol – UC Berkeley Solar Vehicle Team** (2024-01-01–2024-01-01)
- **Teaching Intern at The Beauty and Joy of Computing \(CS10\)** (2024-01-01–2024-01-01)

## Education

- Bachelor of Arts, Statistics — University of California, Berkeley (2027-01-01)

## FAQ

### What does Julio do?

Julio Diaz is a UC Berkeley statistics graduate with experience in data analysis, research operations, full-stack engineering, data engineering, aerospace, mechanical engineering, avionics, and technology education. Julio currently also works part-time and seasonally in car detailing and baking.

### What are Julio’s core strengths?

Julio is strongest at owning end-to-end data analysis projects, including cleaning and standardizing messy data, building models, visualizing findings, and communicating insights to general audiences.

### What tools does Julio use for data work?

Julio uses Python, Pandas, and scikit-learn for data cleaning, standardization, and modeling.

### What modeling experience does Julio have?

Julio has built regression models and risk models with predictor selection. Julio can independently develop data-cleaning and standardization pipelines before modeling.

### What did Julio do on the San Mateo housing-insecurity project?

Julio led the technical analysis for a housing-insecurity research project in San Mateo.

### How does Julio communicate data insights?

Julio has experience creating data visualizations for both analysis and presentation, and enjoys translating technical data insights for general audiences.

### What did Julio do at Planned Quest?

Julio has experience as a Research Operations Intern focused on Full-Stack Engineering at Planned Quest.

### Did Julio have data engineering experience at Planned Quest?

Julio also served as a Data Engineering Intern at Planned Quest.

### What teaching and technology-education experience does Julio have?

Julio completed a summer internship in technology education and was a Teaching Intern for The Beauty and Joy of Computing \(CS10\).

### What aerospace and avionics experience does Julio have?

Julio worked as an Aerospace Engineer with Space Enterprise at Berkeley and as an Avionics Systems Engineer with Space Technologies and Rocketry at Berkeley.

### What mechanical engineering experience does Julio have?

Julio worked as a Mechanical Engineer with CalSol, the UC Berkeley Solar Vehicle Team.

### What current part-time work does Julio do?

Julio currently works part-time and seasonally as a Car Wash / Detailing Associate at a local car wash and tinting business and as a Baker at a local bakery.

### What is Julio’s education?

Julio earned a Bachelor of Arts in Statistics from the University of California, Berkeley.

### What parts of data analysis does Julio enjoy?

Julio enjoys the full analytical lifecycle equally: preparing messy data, developing models, interpreting results, creating visualizations, and presenting conclusions. Julio also takes a methodical and efficient approach to debugging.

## Links

- LinkedIn: https://www.linkedin.com/in/julio-diaz-1b5aa5326

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