Welcome to my portfolio. I am currently a data analyst with The Iowa Clinic. I enjoy working with data and learning new skills.
May 2024 - Present
I am developing a Python script to consolidate all external data ingests, enhancing our data infrastructure. I created a Tableau dashboard for the Physical Therapy department, replacing a 7-year vendor relationship and saving over $16,000 annually. Using Python, I parse JSON files and apply NLP techniques to create a sentiment analysis dashboard on patient survey data. My role also involves optimizing SQL queries and utilizing PrecisionBI for efficient reporting on provider and patient performance metrics.
Dec 2023 - May 2024
Contributed to innovative data analytics career training program that was introduced at the University of the Bahamas. Within this program, 28 professionals were coached as they gained in-demand skills for technology jobs. The coaching included instruction in essential database tools such as SQL, data visualization platforms like Tableau and Excel, and Python programming.
Nov 2023 - May 2024
Co-delivered a 12-week, thorough Data Science Immersive training program featuring Tableau, Python, R, SQL, and Machine Learning. Guided ten students with varying abilities, facilitating hands-on projects and monitoring assessment rubrics for major milestones.
Nov 2023 - Jan 2024
Supported lead instructor for L'Oréal's Data Literacy Program for 200+ non-technical participants, tackling data democratization, data lifecycle stages such as ETL and data modeling, and data visualization tools like Tableau and PowerBI. Facilitated coordination with L'Oréal's team, handled participant interactions via polls/trivia, and addressed questions, resulting in a flawless presentation by the lead instructor.
University of Iowa, 2015-2019
General Assembly, 2023-2023
Analyzed 6 years of historical Ethereum price data from Bitstamp. Developed machine learning pipleines evaluating 5 models including XGBoost, achieving a 99.3% predictive power on holdout data.
Skills: Python, Pandas, NumPy, Tensorflow, Kera, XGBoost, Hugging Face
Engineered a Go-playing bot utilizing Convolutional Neural Networks (CNN) to understand intricate dynamics in the game of go, showing an accurate reaching 15% (baseline: .028%).
Skills: Python, CNN, Monte Carlo Tree Search, Keras
Using K-means clustering to group counties based on water use patterns showed big differences in how much water is used for things like watering crops, supplying homes, and mining across counties. The results indicate specific chances for counties to work together to use water better in raising animals, mining, and fish farming as well as hints that people with higher incomes may use more water.
Skills: Python, Pandas, K-means clustering, DBSCAN, Git
Designed and implemented models to categorize posts with 85-87% accuracy from online posts between two communities, showing potential to understand more about the groups through their language.
Skills: Machine Learning, Natural Language Processing, Random Forest, Naive Bayes