Ulises Portrait

About Me

I’m a Data Science student at UNC Chapel Hill with roots in Argentina, Germany, and the United States. My work sits at the intersection of machine learning, biological sciences, and data engineering — from forecasting energy grid congestion at Splight to analyzing genomic sequences in a genetics lab. I’m drawn to problems where patterns aren’t obvious: high-dimensional data, temporal signals, and systems that resist simple explanation. Fluent in English, German, and Spanish, I bring an interdisciplinary perspective to every dataset I work with.

  • Time-Series Analysis
    Forecasting, anomaly detection, and trend extraction from temporal data
  • Artificial Intelligence
    Neural network design and training for classification, regression, and generative tasks
  • Mathematical Modeling
    Phase-field simulation of microstructural evolution under ML-guided optimization
  • 2024 - Current
    Official CollegeBoard SAT Mathematics Tutor
  • 2025
    Machine Learning Engineer Intern at Splight
  • 2024 - 2025
    Junior Genetics Lab Technician and DNA Analyst
  • 2022
    Digital Commerce Intern at BMW
  • 2021
    Sustainable Urban Planning Intern at Reinhold-Meier Foundation
  • 2027
    Data Science BS from UNC Chapel Hill
  • 2024
    IB Diploma Graduate

My Services

Time Series Analysis

Advanced analytics using Python and machine learning.
Accurate forecasting for sales, demand, or KPIs tailored to your business data.

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Custom Websites

Modern, affordable websites for students and professionals.
Personal portfolios, resumes, or business pages—mobile ready and fast.

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Mathematics Tutor

Personalized, step-by-step math instruction for high school and college students.
Focus on understanding, problem-solving, and building confidence.

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My Work

Contact Me

ulises.roennau@gmail.com

+1 (704) 884-6814

Download CV