About Lucius

Data analytics and AI for systems that make real-world impact.

Lucius Nwakamma is a data analytics and AI graduate student pursuing an M.S. in Applied Analytics at Columbia University, with experience building machine learning systems, AI automation solutions, data-driven research workflows, and robotic platforms.

He works across healthcare, research administration, and autonomous systems, combining Python, SQL, predictive modeling, and LLM applications to turn technical ideas into practical outcomes.

Education

Columbia and VSU shaped the foundation.

Columbia University

New York, NY. M.S. Applied Analytics, School of Professional Studies. Expected December 2027.

Graduate study

Virginia State University

May 2026. B.S. Computer Science, GPA: 3.91/4.0.

Undergraduate study

Experience

Recent work that ties systems to outcomes.

Research Administration AI Intern

Virginia State University, Division of Research and Economic Development. May 2026 - Present.

Developed AI-powered automation solutions using Copilot Studio, Power Automate, and large language models to streamline research administration workflows, automate document classification, workflow routing, and information extraction.

Data Science Intern

VSU x Virginia Commonwealth University Comprehensive Cancer Center. May 2023 - August 2023.

Analyzed 1.8 million de-identified oncology records using Python, R, and SQL, identified disparities in treatment and outcomes, built logistic regression models, and created dashboards for oncologists and researchers.

What these roles have in common

Translating complex information into decisions people can act on, while keeping the underlying system simple, scalable, and useful.

Technical skills

Tools and methods used across the work.

Python SQL Java JavaScript C++ HTML/CSS Machine Learning Predictive Modeling NLP LLM Applications Statistical Analysis EDA Power BI Data Engineering Data Visualization Git GitHub

Next step

For a fuller overview, visit the Projects page.