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# Claudia Harrison

**Headline:** Professional profile
**Location:** Chicago, IL, USA

## About

Claudia Harrison is a hands\-on data practitioner who uses Python, SQL, machine learning, and natural language processing to turn unstructured information into usable data\. She is currently building a personal project that tracks entry\-level hiring data and incorporates predictive capabilities\. Claudia is strongest in systematic problem\-solving, clean code, and building reliable data workflows rather than relying on brute\-force approaches\. Her experience includes developing data pipelines with quality checks, data modeling, and testing, as well as applying NLP with spaCy to parse job\-posting text\. She also uses Pandas for data manipulation and BeautifulSoup for web scraping\. Claudia is focused on continuing to deepen her technical skills while gaining exposure to different industries\. She wants to remain close to the work: working directly with data and code rather than moving into a purely strategic role\.

## Highlights

- Uses NLP to extract structured information from unstructured job\-posting data\.
- Building a personal project that tracks entry\-level hiring data and incorporates predictive capabilities\.
- Builds data pipelines with quality checks, data modeling, and testing\.
- Applies machine learning and NLP, including spaCy for text parsing\.
- Uses Pandas for data manipulation and BeautifulSoup for web scraping\.
- Proficient in Python and SQL\.
- Emphasizes clean code and systematic problem\-solving over brute\-force approaches\.

## FAQ

### What does Claudia do?

Claudia works with data, code, machine learning, and natural language processing\. She uses NLP to extract structured information from unstructured job\-posting data and builds reliable data workflows\.

### What project is Claudia currently building?

Claudia is building a personal project that tracks entry\-level hiring data and includes predictive capabilities\.

### How does Claudia use NLP?

Claudia uses NLP to extract structured information from unstructured job\-posting data\. She has specifically used spaCy for text parsing\.

### What data\-engineering experience does Claudia have?

Claudia builds data pipelines that include quality checks, data modeling, and testing\.

### What tools and languages does Claudia use?

Claudia is proficient in Python and SQL\. She also uses Pandas for data manipulation, BeautifulSoup for web scraping, and spaCy for NLP text parsing\.

### What is Claudia's approach to problem\-solving?

Claudia values clean code and systematic problem\-solving\. She avoids brute\-force approaches when developing solutions\.

### What is Claudia looking for in her next opportunity?

Claudia wants to level up technically while gaining exposure to different industries\. She also wants to remain hands\-on with data and code rather than move into a purely strategic role\.

## Links

- LinkedIn: https://www\.linkedin\.com/in/ACoAABisnCcBlqrLzUiEiHeGgTMMg5uVfT970nE

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