Master of Science in Data Science
Regis University
Expected Graduation: Spring 2026
denver
I am a Data Science graduate with strong skills in data analysis and visualization. I enjoy working with data to identify trends, build dashboards, and support data-driven decision making. Through academic and personal projects, I have worked with real datasets to clean, analyze, and visualize data using SQL, Python, Excel, Tableau, and Power BI. I have built dashboards, performed forecasting analysis, and applied machine learning models to solve business problems. I am a quick learner, detail-oriented, and passionate about turning data into meaningful insights
Programming Languages
Power BI, Python, JavaScript, R, SQL, Java
Tools & Frameworks
Git, Docker
This study analyzes the evolution of employee skill demand in the United States using data science and natural language processing techniques. Data was collected from multiple sources, including the US Federal Government Job Postings API, Federal Payroll Data, National Labor Statistics, and New York City open data. Analytical methods such as Natural Language Processing (NLP), Latent Dirichlet Allocation (LDA) topic modeling, Dynamic Topic Modeling, trend analysis, geospatial analysis, and embedding models were applied to identify patterns in skill demand. The results highlight major skill groups related to aviation and safety, engineering and human resources, and medical fields. The analysis also shows connections between skill demand, unemployment trends, and wage changes, particularly during the COVID-19 period. Overall, the study demonstrates how skill demand varies across time, regions, and levels of employment.
Feel free to reach out for collaboration opportunities, questions about my projects, or just to connect!
I'm always open to discussing new projects, creative ideas, or opportunities to be part of your vision.