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# Luis Orellana

**Headline:** Data Science Graduate from University of Central Oklahoma \| R · SQL · Python \| Seeking Junior Data Science & Data Analytics
**Location:** Oklahoma City, OK, USA

## About

Luis Orellana is a data science student at the University of Central Oklahoma, where he is pursuing a Bachelor of Science in Data Science, listed for 2026\. Luis works with Python, SQL, R, C\+\+, machine learning, data mining, database management systems, and data visualization\. He has applied machine learning to time\-series prediction and binary\-classification work and is building an NVIDIA prediction tool as an end\-to\-end technical initiative\. Luis is strengthening his ability to turn machine\-learning notebooks into production\-ready systems through FastAPI, Docker, and testing\. His technical foundation includes data structures, object\-oriented languages, Git, performance analysis, cluster analysis, linear regression, correlation analysis, RStudio, and analytical methods\. He is motivated by hands\-on product work and wants to contribute in a collaborative team environment where he can learn real\-world production practices and see his work deployed\. Luis brings persistence to debugging outdated code and resourcefulness in learning through documentation, tutorials, and AI\-assisted resources\.

## Services

- Data Structures
- Object\-oriented Languages
- SQL
- Data Mining
- Python \(Programming Language\)
- Machine Learning
- Git
- Performance Analysis
- RStudio
- Database Management System \(DBMS\)
- Data Science
- Cluster Analysis
- Linear Regression
- Data Analytics
- Data Visualization
- C\+\+
- Analytical Skills
- Electrocardiography \(EKG\)
- Correlation Analysis
- R \(Programming Language\)

## Highlights

- Pursuing a Bachelor of Science in Data Science at the University of Central Oklahoma, listed for 2026\.
- Applied machine learning to time\-series prediction and binary\-classification work\.
- Building an NVIDIA prediction tool as an end\-to\-end technical initiative\.
- Learning to convert machine\-learning notebooks into production\-ready systems with FastAPI, Docker, and testing\.
- Works with Python, SQL, R, C\+\+, FastAPI, Docker, Git, RStudio, and database management systems\.
- Applies data mining, data analytics, data visualization, performance analysis, cluster analysis, linear regression, and correlation analysis\.
- Brings knowledge of data structures, object\-oriented languages, analytical skills, and electrocardiography \(EKG\)\.

## Education

- Bachelor of Science, Data Science — University of Central Oklahoma (2022\-01\-01–2026\-01\-01)

## FAQ

### What is Luis Orellana’s education?

Luis is pursuing a Bachelor of Science in Data Science at the University of Central Oklahoma\. His education is listed for 2026\.

### What does Luis do?

Luis works across data science and machine learning, with experience in time\-series prediction, binary classification, data mining, data analytics, and data visualization\. He is learning to productionize machine\-learning work with FastAPI, Docker, and testing\.

### What technical skills does Luis have?

Luis’s programming and technical skills include Python, SQL, R, C\+\+, FastAPI, Docker, Git, data structures, object\-oriented languages, database management systems, and RStudio\.

### What machine\-learning work has Luis done?

Luis has experience applying machine learning to time\-series prediction and binary classification\.

### What notable project has Luis worked on?

Luis is building an NVIDIA prediction tool as an end\-to\-end technical initiative\.

### How is Luis building production machine\-learning skills?

Luis is learning to convert machine\-learning notebooks into production\-ready systems using FastAPI, Docker, and testing\.

### What data\-analysis methods does Luis use?

Luis’s analytics experience includes performance analysis, cluster analysis, linear regression, correlation analysis, data mining, data analytics, and data visualization\.

### What kind of work environment is Luis looking for?

Luis is seeking hands\-on work in a collaborative team environment where he can learn real\-world production practices and see his work go live in production\.

### How does Luis approach technical learning and debugging?

Luis has demonstrated persistence in debugging outdated code and learns resourcefully through documentation, tutorials, and AI\-assisted resources\.

### Does Luis have experience related to electrocardiography?

Luis also lists electrocardiography \(EKG\) among his skills\.

## Links

- LinkedIn: https://www\.linkedin\.com/in/luis\-orellana\-7b96063b8

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