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# Kevin Medina

**Headline:** Data Science student at San Jose State University
**Profession:** Math Instructor
**Location:** San Jose, California, United States

## About

Kevin Medina is a fourth\-year Data Science student at San José State University who is building experience in software engineering, data analytics, mathematics education, and applied AI\. He currently works as a Math Instructor at Mathnasium \- The Math Learning Center and contributes as a Full\-Stack Developer and Software Engineer at Translation Commons\. Kevin is strongest in problem\-solving, programming, data analysis, visualization, and machine learning, with technical experience spanning Python, JavaScript, Node\.js, React\.js, Java, C\#, R, GitHub, Pandas, Seaborn, NumPy, Scikit\-Learn, PyTorch, and TensorBoard\. In a Beats by Dre Data Analytics: Qualitative & Quantitative Insights Externship through Extern, he developed customer insights through qualitative and quantitative analysis, processed data with Pandas and Seaborn to visualize customer needs, and automated customer\-review analysis through LLM integration with Google Gemini\. Kevin is pursuing a Bachelor of Science in Data Science and aims to apply AI and emerging technologies to meaningful solutions and innovative experiences\.

## Services

- GitHub
- JavaScript
- Node\.js
- React\.js
- Adaptation
- Analytical Skills
- Visualization
- AP Calculus
- Construction
- Generative AI
- Technology M&A
- TensorBoard
- Communication
- Decision Modeling
- Data Science
- PyTorch
- Public Speaking
- Structural Optimization
- Technology Enabled Business Transformation
- Machine Learning Algorithms
- Linear Algebra
- Data Structures
- Data Preparation
- Statistical Learning
- Large\-scale Data Processing
- Tech Career Skills
- Problem Solving
- Scikit\-Learn
- Applied Probability
- Mathematics Education

## Highlights

- Currently works as a Math Instructor at Mathnasium \- The Math Learning Center\.
- Currently contributes at Translation Commons as a Software Engineer and Full\-Stack Developer across different tasks\.
- Completed the Beats by Dre Data Analytics: Qualitative & Quantitative Insights Externship through Extern\.
- Used NumPy and Pandas to conduct data analysis and develop customer insights during the Beats by Dre externship\.
- Automated customer reviews through LLM integration with Google Gemini\.
- Processed data with Pandas and Seaborn to visualize customer needs\.
- Pursuing a Bachelor of Science in Data Science at San José State University\.

## Experience

- **Math Instructor at Mathnasium \- The Math Learning Center** (2026\-08\-01–present)
- **Software Engineer at Translation Commons** (2026\-06\-01–present) — Contributing across different tasks as a Full\-Stack Developer\.
- **Beats by Dre Data Analytics: Qualitative & Quantitative Insights Externship at Extern** (2025\-06\-01–2025\-08\-01) — Worked with Numpy and Pandas for various Data Analysis to develop customer insights\. Automated customer reviews with LLM Integration with Google Gemini\. Processed Data with Pandas and Seaborn in order to help visualize customer needs\.

## Education

- Bachelor of Science, Data Science — San José State University

## FAQ

### What does Kevin do?

Kevin is a fourth\-year Data Science student at San José State University\. He is pursuing a Bachelor of Science in Data Science\.

### What is Kevin's role at Mathnasium \- The Math Learning Center?

Kevin currently works as a Math Instructor at Mathnasium \- The Math Learning Center\.

### What does Kevin do at Translation Commons?

Kevin currently contributes at Translation Commons as a Software Engineer and Full\-Stack Developer, working across different tasks\.

### What did Kevin accomplish during the Beats by Dre Data Analytics externship?

During the Beats by Dre Data Analytics: Qualitative & Quantitative Insights Externship at Extern, Kevin used NumPy and Pandas for data analysis to develop customer insights\. He also processed data with Pandas and Seaborn to visualize customer needs and automated customer reviews through LLM integration with Google Gemini\.

### What are Kevin's core strengths?

Kevin's strengths include technology, problem\-solving, coding, data analysis, data visualization, machine learning, statistical modeling, quantitative analytics, analytical skills, communication, public speaking, adaptation, and decision modeling\.

### What programming languages and tools does Kevin use?

Kevin works with Python, JavaScript, Node\.js, React\.js, Java, C\#, R, GitHub, NumPy, Pandas, Seaborn, Scikit\-Learn, PyTorch, and TensorBoard\.

### What data science and machine learning areas does Kevin know?

Kevin's data science and machine learning skills include data preparation, large\-scale data processing, statistical learning, statistical modeling, machine learning algorithms, machine learning, generative AI, applied probability, linear algebra, and quantitative analytics\.

### What other skills does Kevin bring?

Kevin also lists skills in data structures, visualization, AP Calculus, mathematics education, structural optimization, construction, technology M&A, technology\-enabled business transformation, software development, tech career skills, Spanish, and problem solving\.

### What are Kevin's professional goals?

Kevin's goal is to build a strong foundation in programming, machine learning, and data analysis while applying those skills to real\-world projects\. He aims to leverage AI and emerging technologies to create meaningful solutions and innovative experiences\.

## Links

- LinkedIn: https://www\.linkedin\.com/in/kevin\-medina\-270508313

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