Rogelio López
Data Scientist — Machine Learning — Applied Mathematics — Predictive Modeling
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About
Data scientist with a Master of Science in Applied Mathematics and strong expertise in machine learning, predictive modeling, and computational analysis. Experienced in building Python and TensorFlow models, analyzing complex datasets, and translating quantitative results into actionable insights. Proven ability to solve real-world problems using mathematical modeling, optimization, and data-driven decision-making, with strong communication skills and award-winning research presentations.
Experience
Graduate Research Assistant - Elizabeth City State University
(2024-08)
- Developed machine learning models (Python, TensorFlow) to analyze complex systems and improve predictive accuracy.
- Built computational models to estimate key parameters and identify trends in large datasets.
- Applied regression, optimization, and numerical methods to solve real-world modeling problems.
- Performed data analysis and visualization to support data-driven insights and decision-making.
- Communicated technical results through reports, presentations, and visualizations for diverse audiences.
Mathematics Teacher, North Carolina
(2023-08)
- Teach mathematics courses including algebra, trigonometry, probability, and data analysis.
- Translate complex quantitative concepts into clear and understandable explanations.
- Design data-informed lessons and assessments to improve student performance.
Supervisor - Diversified Maintenance
(2014-01 - 2020-12)
- Managed operations, scheduling, and team performance across multiple locations.
- Improved efficiency and coordination in a fast-paced environment.
Store Manager - Dunkin Donuts
(2019-01 - 2019-12)
- Oversaw daily operations, staff management, and customer service.
Education
Master of Science - Applied Mathematics - Elizabeth City State University (2026-05)
Bachelor of Science - Mathematics Education - East Carolina University
