I am a Computer Science graduate from Angelo State University with a passion for data science, machine learning, and solving real-world problems through technology. My professional experience as an Inventory Data Analyst has given me hands-on experience working with real-world large-scale data. I am currently seeking entry-level opportunities in data science and machine learning where I can apply my programming, analytical, and problem-solving skills while continuing to grow and contribute to impactful, data-driven solutions.
Angelo State University
Principal Industries
San Angelo, TX, USA
Utilized knowledge graphs to represent a waterbed management system. Employed explainable AI techniques to detect and classify anomalies.
Collaborated with the USDA Forest Service on utilizing geospatial data from Google Earth Engine to predict ecological factors in under-reported regions. I utilized my knowledge in database management, machine learning, data science, and data visualization to complete this project.
Collaborated with C-SPAN on analyzing congressional polarization. I utilized my knowledge in natural language processing, machine learning, neural networks, and data visualization to complete the project.
I have experience coding in: Python, C++, Java, Assembly, SQL and R
I have experience using: mySQL Workbench, VSCode, Sublime, Notepad++, PuTTY, UNIX, Matplotlib, Pandas, XGBoost, SHAP, Git/Github
Strong problem-solving skills, effective communication, teamwork, adaptability, and time management.
Angelo State University
Helped organized events and meetings for the computer science club at Angelo State University.