Building intelligent, data-driven systems at the intersection of analytics, AI, and decision-making. MS Data Science @ UT Arlington (graduating Dec 2026) · F-1 OPT (CPT Available)
I'm Allen Joshua — a Data Analyst and Data Science graduate student at the University of Texas at Arlington, graduating December 2026. My work sits at the intersection of data analytics, applied machine learning, and AI-powered decision systems — combining SQL, Python, Power BI, and modern generative AI workflows to turn complex data into actionable strategy.
I'm currently leading a 3-person capstone project (in collaboration with UTA's Office of Information Technology) aimed at a real-world data science application and a target publication. Alongside my coursework, I actively contribute to open-source AI governance and evaluation tooling — including a merged pull request in Microsoft's Agent Governance Toolkit and an open issue in Google's ADK-Python.
My research background includes a published IEEE conference paper (I2CT 2024) on deep learning for urban health prediction, and a Vision Transformer robustness project that won the "Most Novel & Creative Award" in my advanced AI class at UTA. I approach data not just as numbers to visualize, but as signals that need reasoning, evaluation, and human-centered interpretation.
I'm driven by curiosity, experimentation, and the belief that the future belongs to professionals who can combine data, AI, and critical thinking into systems that genuinely help people make better decisions.