Inquisitive data professional with breadth of experience, unique perspectives, and blend of technical and soft skills. Balance analytical and creative mindsets by combining strong coding skills with artistic and humanistic point of view, telling data’s story in a clear, effective, and beautiful way. Values clean, extensible, performant code, reducing manual work whenever possible. Passionate about continuous improvement, accessibility, and inclusivity.
Skills:
- Coding: Python, SQL, R, JavaScript, HTML/CSS
- Database: PostgreSQL, MongoDB
- Analysis: Machine learning (scikit-learn), Pandas, Spark, linear regression, hypothesis testing
- Visualization: Matplotlib, Tableau, ArcGIS
- Tools: Git / Github, Jupyter Notebook, Bootstrap, Unix Command Line, Excel, Adobe Illustrator
- People: Agile (Scrum, Kanban)
Projects:
- PyCity Schools Analysis using Pandas
- Using Matplotlib to Graph Pharmaceutical Data
- Group Project Analyzing World Happiness Data with Pandas
- Pulling Weather Data from APIs using Python
- Creating and Populating PostgreSQL Database
- Using SQLAlchemy and Flask to Analyze and Serve Weather Data
- Building a Webpage with Bootstrap
- Group Project Demonstrating ETL