Certifications & Degrees

A blend of academic rigor and hands-on training—this is how a lifelong learner reverse-engineered a data science education.

Credentials first. Story follows.

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Credential Links

• Data Analytics Boot Camp, George Washington University
• Google Advanced Data Analytics Certificate
• Google Data Analytics Certificate
• cs50: Artificial Intelligence (AI)
• cs50: Python
• cs50: SQL
• cs50: R
• cs50: Web Programming with Python and JavaScript
• cs50: Cybersecurity
• HarvardX: CS50's Introduction to Computer Science

Academic Degrees

• M.A. International Affairs, American University
• M.A. Natural Resources and Sustainable Development, United Nations University for Peace

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Reverse-Engineering a Data Science Education

Two Master’s degrees were enough tuition for a lifetime. When I pivoted to data analytics, I didn’t go back to school—I built my own. Starting with a rigorous boot camp, I layered in top-tier MOOCs from Harvard, Google, and soon Stanford, stitching together the depth of a data science degree without the debt.

I don’t collect credentials; I pursue mastery. I follow knowledge down the rabbit hole wherever it leads—past Python and SQL, through statistics and machine learning, and into the frontier of what’s next.

These certifications reflect more than technical ability; they reflect curiosity, intention, and a respect for craft over shortcuts. I wanted the hard skills to complement a broad, interdisciplinary background—and the fluency to make data speak human.

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Credentials

Academic Degrees

Side Quests

Easter Eggs. Conversation starters and whimsical extras.

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