Netersharrura Cook

Data scientist and ML practitioner with hands-on experience building production-oriented predictive models, multi-agent AI systems, and neural signal analysis pipelines. Pursuing a BS in Neuroscience at Boston University with applied work across research labs and a geopolitically focused AI startup. Skilled in Python, deep learning, and LLM-based system design, with a bias toward shipping things that work.

Research Intern - Computational Neuroscience and Vision Laboratory, Boston University - Boston, MA

(2024-01)

• Built mental load prediction models using XGBoost and 1D CNN on fNIRS brain imaging data, achieving 75-80% accuracy.
• Applied GradCAM and PCA-based feature importance to surface findings on prefrontal cortex hemodynamics and working memory.
• Applied computational modeling and computer vision techniques to analyze neuroimaging data from Tufts University.

Data Science and AI Intern - Peloria - Washington, DC

(2024-10 - 2025-09)

• Analyzed crime datasets and evaluated data sources for geopolitical models commissioned by the IMF and World Bank.
• Contributed to poverty and migration pattern prediction projects, supporting modeling strategy and data broker evaluations.

Research Intern - Center for Brain Recovery Laboratory, Boston University - Boston, MA

(2025-09 - 2025-12)

• Applied machine learning techniques to neuroimaging research involving fNIRS and EEG data modalities.

Bachelor of Science - Neuroscience - Boston University (2026)