Resume
Education
2024
Master of Science, Data Science
University of Colorado - Boulder, CO
My Master of Science in Data Science degree focused on knowledge and skills in interdisciplinary and collaborative data science competencies including statistical analysis, data structures and algorithms, data mining, machine learning, big data architecture, and data visualization. It is an interdisciplinary degree program offered through CU Boulder’s departments of Applied Mathematics, Computer Science, and Information Science.
2020
Bachelor of Science, Business Analytics & Technology
Trinity University - San Antonio, TX
The Business Analytics and Technology degree trains professionals to make sense of data sets, perform financial and business analyses, present information using leading technologies, and recommend leading edge process improvements that allow companies to operate more efficiently and maximize performance.
Work Experience
2019 - 2021
Engineering Data Analyst
Lewis Energy - TX
Completed projects for the production engineering team analyzing real time data and creating visualizations using analytics tools and data warehouse. Projects included using real time field data to identify and quantify missing product, comply with lease terms, and summarize production. Included data quality control management and data warehouse upkeep.
2022 - 2024
Mixologist
Deki Distlilery
Staying grounded with social and communications skills while financing my graduate education.
2019
Box Office
Paper Tiger - TX
Front office duties at a music venue to help pay for college.
2015 - 2019
Assistant
Marini Chiropractic - PA
Ofice assistant to help pay for college. Implemented a practice management system and trained employees on how to use it.
Skills & Expertise
Data Analysis
Data Cleaning and Management
Predictive Modeling and Analytics
Information Visualization
Regression Analysis
Business Analytics
Process Analysis
Financial Accounting
Managerial Accounting
Business Dashboards
Machine Learning
Linear Models (Linear Regression, Multiple Linear Regression, Logistic Regression, Ridge and Lasso)
Supervised (Decision Trees, Random Forest, Naive Bayes, Support Vector Machines, Convolutional Neural Networks)
Unsupervised (K-means, K-modes, Hierarchical Clustering, Association Rule Mining, Latent Dirichlet Allocation)
Numerical Methods
Statistical Analysis
R Statistical Language
Linear Algebra
Neural Networks
Information Technologies
Programming: R, Python, SQL
Python Packages: Pandas, NumPy, Scikit-learn, Tensor Flow, seaborn
Visualization Packages: Tableau, Spotfire
Data Warehouse
Cloud Services
Human Communications
Consistently chosen to present group projects.
Music performances and bartending
Products and Tools Used
Python
Pandas, Numpy
Tensor Flow
Scikit-learn
Seaborn
OpenCV, VGG
Visualization
Tableau
Spotfire Visual Analytics
Other Languages
R
SQL
Front End
Swiper
JS
CSS
Back End
Docker
Google Cloud Services
Other
MS SQL Data Warehouse
CygNet SCADA
MS Office, Google Docs, Sheets, etc.