I am constantly learning, incorporating my knowledge to betterment of myself and my work product, and I apply new information and viewpoints to my global understanding of the world. With experience in many disparate fields—Risk Management, Finance, Hospitality, Construction, Media, Education, Legal Services—I bring surprising insights to unique business situations and questions.
Available Work Locations: San Antonio, TX
Core Technologies: Python, MySQL, Spark, Tableau, Pandas, NumPy, Matplotlib, Seaborn, SciKitLearn, Anaconda, Jupyter Notebooks, Git/GitHub
Core Competencies: Data Storytelling, Applied Statistics, Machine Learning, Natural Language Processing, Classification, Regression, Clustering, Time Series Analysis, Anomaly Detection
Hire Me Because
My Capstone Project: Data at the Museum
The NY Metropolitan Museum classifies roughly 2,400 of their 480,000 items as ‘Highlights’. Our team used supervised and unsupervised learning techniques to determine what factors contribute to an item being a highlight, and created a model to predict whether an item in the collection should be identified as such. This model could be used by the Met to determine which pieces to feature in upcoming exhibitions, or by other museums to identify what under-appreciated items to request on loan for their galleries.