Portfolio

I've built and used all of the skills below in the classroom, on the job, and through personal exploration.

Proficient Languages: Python, SQL
Familiar Languages: R, Javascript, Java
Software: Git, Docker, Tableau, JMP, Microsoft Office & Excel, Photoshop
Technical: Data Analysis, Database Management, Assay Design, ETL, Data Visualization, Machine Learning
Key Libraries/Packages: Pandas, Scikit-learn, NumPy, TensorFlow, PyTorch, Seaborn, Matplotlib

Pickleball Datawarehouse

Data engineering and visualization showcase featuring medallion architecture approach for ETL and Tableau

Steam Review Analysis

Digestion of Steam Reviews through use of Spark (PySpark) and Machine Learning

Restaurant Classification

NLP approach to classifying restaurants using Scikit-learn’s TF-IDF and ensemble learning