Carlos Andrés Vélez González

Physics Engineer • M.Sc. Physics — Data Science | Outage Management Systems | Materials Physics

Hello — I'm Carlos

Multidisciplinary professional with a Bachelor’s degree in Engineering Physics and a Master’s degree in Physics. Experienced in industry as an Outage Management System Analyst and Data Scientist, with research expertise in computational physics and metal–insulator transition materials. Demonstrated ability to lead complex engineering and research projects, automate workflows, and develop data-driven solutions for both industry and academic environments.

Experience

Outage Management Systems Analyst — LUMA Energy

San Juan, PR • July 2024 – Present — Applied ML · Cloud · OMS

Automated model deployment through Azure Functions, integrating the prediction pipeline with operational data from the OMS system (HxGN InService) and weather forecast APIs.
Developed SQL scripts for data extraction and cleaning, and automated reporting in Power BI.
Optimized operational workflows through internal applications, reducing field report registration and consolidation time by 45 minutes daily.
Provided continuous support and improvement for the InService OMS system, GIS, and SCADA tools.

Data Scientist — Sermintec

Medellín, COL • Jan 2022 – May 2024 — ML · Pipelines

Built machine learning models to optimize mining operations and analyze machinery performance.
Automated model training and data management through pipelines.

Laboratory Instructor — University of Puerto Rico

Mayagüez, PR • Aug 2021 – Nov 2023 — Teaching · Physics Labs

Designed and evaluated experimental physics practices in mechanics and electromagnetism.

Intern — Cementos Argos

Medellín, Col • Aug 2020 – Fev 2021 — ML

Predictive models to optimize extraction costs using multivariable regression techniques.

Academic Monitor — National University of Colombia

Medellín, Col • Feb 2018 – Aug 2020 — ML

Electricity and magnetism laboratories, promoting experimental understanding of theoretical concepts.

Education

M.Sc. Physics — University of Puerto Rico

2021 — 2023 • GPA: 5.0 / 5.0

Training in theoretical physics courses.
Solid state physics, materials science, neural networks and computational physics courses.
Research experience in metal-insulator transition materials.
Experience in physical vapor deposition techniques: Sputtering and Pulsed Laser Deposition.
Characterization methods: X-ray diffraction, atomic force microscopy and Van der Pauw technique.

B.Sc. Physical Engineering — National University of Colombia

2015 — 2020 • GPA: 4.4 / 5.0

Mastery of mathematical and physics principles for developing models.
Training in materials engineering, solid-state physics, and research experience on Low-Dimensional Semiconductor Systems
Programming in languages like Python, Java, C and Fortran
Theoretical and practical work in electronics, mechanical design, and computational physics

Technical Skills

Python95%

Azure ML & Functions88%

SQL & Data Engineering85%

Machine Learning (PyTorch/TensorFlow)86%

Visualization (Power BI / Matplotlib)78%

Electrical Outage Prediction (Azure ML)

End-to-end pipeline for predicting outage probability by district using meteorological and operational data. Serverless updates, web visualizations, and automated summary generation.

Azure · Python · ML

Quantum Simulation of Nanostructures

Python code for optical analysis of bielectronic systems in semiconductor nanorings. Focus on reproducible scientific code and numerical rigor.

Python · Computational Physics

Energy Consumption Prediction

Supervised regression models that forecast energy consumption from meteorological data and usage history.

Scikit-Learn · Time Series

MLOps & Deployment Automation

Automated training, deployment and monitoring with Azure ML, Docker and CI pipelines.

MLOps · Azure · Docker