Open to opportunities

Alfredo User

@alfredouser3

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Data scientist focused on deep learning forecasting and hurricane-aware energy analytics.

United States

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What I'm looking for

I’m looking for a data science role where I can build and optimize deep learning models, strengthen data preprocessing pipelines, and use HPC to deliver reliable, high-impact forecasting for real-world domains.

I’m a Data Science Researcher building deep learning models that translate complex data into actionable forecasts. My work includes developing, optimizing, and publishing an IEEE conference paper using LSTM networks to forecast regional energy consumption during major hurricane disruptions, achieving up to a 70.6% reduction in Mean Absolute Percentage Error (MAPE) versus legacy baselines.

I also engineer end-to-end data preprocessing and hurricane-aware feature engineering pipelines in Python with Pandas, Scikit-learn, and TensorFlow/Keras, and I scale training workflows by leveraging high-performance computing (HPC) cluster resources (CARYA). Beyond research, I served as an Undergraduate Teaching Assistant—Data Science—supporting 40+ students with weekly office hours to debug Python and C++ code, clarify data transformations, and evaluate architecture and design requirements, while partnering with faculty to manage course infrastructure and grading rubrics.

Experience

Work history, roles, and key accomplishments

Data Science Researcher

University of Houston

Oct 2024 - May 2026 (1 year 7 months)

Developed and published an IEEE deep learning forecasting study using LSTM networks to predict regional energy consumption during hurricane disruptions, achieving up to a 70.6% reduction in MAPE versus legacy baselines. Scaled training workflows on the CARYA HPC cluster and built hurricane-aware preprocessing and feature engineering pipelines in Python.

Deep Learning High Performance Computing (HPC)Pandas scikit learn Feature Engineering Model Evaluation

Undergraduate Teaching Assistant

University of Houston

Aug 2025 - Dec 2025 (4 months)

Supported 40+ computer science students by running weekly office hours to debug complex Data Science code in Python and C++, and to clarify data transformations and algorithmic complexity. Evaluated code quality and design requirements, coordinated course infrastructure with faculty, and supported grading rubrics and object-oriented design concepts.

Python C Data Science Debugging data transformation Code Review Software Architecture Object Oriented Design Design Patterns Instructional Support

Education

Degrees, certifications, and relevant coursework

University of Houston

Bachelor of Science in Computer Science, Computer Science

Grade: 3.9/4.0

Earned a Bachelor of Science in Computer Science with a minor in Mathematics. Reported GPA was 3.9/4.0 and coursework included Data Structures & Algorithms, Data Science, Fundamentals of AI, and Statistical Learning.