Data Analyst | Business Intelligence | Applied Machine Learning | Researcher
Microsoft Certified Power BI Data Analyst Associate (PL-300) with a background in Computer and Informaion Science and experience in Python, SQL, Power BI, R, and Machine Learning.
I build data pipelines, investigate data quality problems, develop interactive dashboards, and evaluate predictive models. My portfolio includes defense infrastructure analysis, airline passenger trends and ML projects.
Previously, participated in Department of Defense-sponsored AI internship, working with neural networks and presenting technical findings.
Languages & Frameworks
Machine Learning & Data Science
Databases & Tools
Package Mangers
Visualization
Developers Tools
Terminal
- LinkedIn → Kevin Comaduran Personal Portfolio → watchtheory.github.io
Analyzing public reported defense infrastructure investments, including funding allocations, locations, and project status. Developed a structured dataset that distinguishes program-wide announcements from site-level allocations to reduce the risk of double counting. U.S. Defense Infrastructure Investment
Investigating international passenger traffic and recovery following COVID-19. Comparing historical travel patterns and developing a foundation for passenger-demand forecasting. International Flight Analysis
Developed and evaluated neural-network models during a Department of Defense sponsored AI internship. Worked with National Institute of Standards and Technology (NIST) image classification data, data preprocessing, model evaluation and TensorFlow workflows while documenting results and presenting technical findings. Defense AI Internship
Analyzed Netflix content data through an interactive Tableau dashboard to indentify patterns across countries, genres and content ratings. Developed geographic and categorical visualizations that allow users to explore distribution and view-content trends. Netflix Tableau Dashboard
👉 Check my pinned repositories for more!
