Electrical Engineer · Data Science · Electronics
Building
data-driven tools
for energy utilities
- Now
- Grid Operations Analyst
- Studying
- MSc Data Science, UOC
- Drawn by
- J. ALDANA
- Sheet
- 01 / 01
- Location
- SAN SALVADOR
- UTC
- −06:00
What I do
I work in grid operations: SCADA telemetry, network topology and switching decisions on a live distribution system, much of it running on platforms older than my career. I build the tooling that turns that data into something an operator can act on.
Projects & learning
Electrical Engineering
Protection, switching, and the data behind both.
-
EE-01
Coordination of Protection
Predicting the most efficient relay setting groups for IEDs from grid topology, SCADA telemetry, and machine learning.
- SCADA
- Topology data
- ML
- IEDs
-
EE-02
Grid Operations
Designing switching maneuvers by fusing topology, SCADA state, telemetry, and operations history in OpenDSS, with a scoring method that weighs the impact and constraints of each maneuver.
- OpenDSS
- ADMS
- SCADA
- Python
-
EE-03
RF Planning
A genetic algorithm that places RF concentrators on existing utility poles from GIS data, minimizing tower count while maximizing SCADA coverage of the IED fleet.
- Genetic algorithms
- RF coverage
- GIS
- SCADA
-
EE-04
OpenDSS
Deepening my command of OpenDSS for distribution modeling, fault studies, and what-if simulation of switching maneuvers.
- OpenDSS
- Power flow
- Python
Data Science
Models, simulation, and the tooling around them.
-
DS-01
Local LLM-Based Laboratory
Local LLMs that grant on-demand access to development boards, making hands-on STEAM learning easier to set up.
- Local LLMs
- STEAM education
- Dev boards
-
DS-02
High-Altitude Balloon Trajectory Simulations
Simulating balloon flight through ascent, burst, and descent to plan missions and estimate recovery zones.
- Trajectory modeling
- Mission planning
- Python
-
DS-03
Applied AI & ML
Working through applied machine learning, from MSc coursework to models for grid analytics and protection coordination.
- ML
- LLMs
- Python
Electronics
Hardware for missions, and lab work to keep the hands sharp.
-
EL-01
High-Altitude Balloon Electronics
Power system, on-board computer, and payload electronics for a high-altitude balloon mission, built with COTS parts, Li-ion batteries, and Arduino-based TinyML.
- EPS
- OBC
- Li-ion
- Arduino
- TinyML
-
EL-02
Project-based learning with ZedBoard
Building projects with ZedBoard using the Vivado suite, with accompanying lab notes and documentation.
- FPGA
- APSoC
- Zynq-7000
-
EL-03
IoT Embedded Systems
Exploring sensors, low-power firmware, and telemetry pipelines on COTS development boards.
- IoT
- Embedded C
- Telemetry
Publications
Conference papers
Peer-reviewed work.
| Title | Year | Conference | DOI |
|---|---|---|---|
| Design and Simulation of a COTS-Based Electrical Power System for High-Altitude Balloon Missions | 2025 | IEEE CONESCAPAN 2025 | 10.1109/CONESCAPAN67936.2025.11229727 |
| Effects of Ionization and Volcanic Activity on LoRa Communications in the 915 MHz Band | 2025 | IEEE CONESCAPAN 2025 | 10.1109/CONESCAPAN67936.2025.11229787 |
| Eco Buddy: A Novel Robotic Platform for Automatic Waste Classification using Computer Vision and IoT | 2025 | Annals of Computer Science and Information Systems | 10.15439/2024R71 |
| Advancing Electromobility in Central America: An Analysis of Policies and Regulations | 2024 | IEEE CONCAPAN XLII | 10.1109/CONCAPAN63470.2024.10933892 |
| Estimation of Operation Areas and Environmental Parameters for High-Altitude Balloon Missions | 2024 | IEEE CONCAPAN XLII | 10.1109/CONCAPAN63470.2024.10933890 |
| Harnessing Artificial Intelligence in Education: Innovations, Opportunities, and Challenges | 2024 | IEEE CONCAPAN XLII | 10.1109/CONCAPAN63470.2024.10933829 |
| Estimation of Shade Levels in Coffee Cultivation Using Segmentation Methods and Deep Learning | 2023 | IEEE CONCAPAN XLI | 10.1109/CONCAPANXLI59599.2023.10517562 |
| Selección de Antenas UHF para una Misión Near-Space en un HAB y las frecuencias reguladas | 2022 | IEEE CONESCAPAN 2022 | 10.1109/CONESCAPAN56456.2022.9959735 |
Writing
Articles
Short technical pieces and analysis.
- Analítica de datos del mercado eléctrico: el modelo antes que el modelo Qué datos produce un mercado mayorista por costos, en qué granularidad vive cada uno, y las cuatro trampas que corrompen un análisis antes de que empiece: la grana equivocada, el valor ex ante confundido con el ex post, la unión temporal mal hecha y la identidad que nadie verifica. es
- La Ley General de Electricidad, mapa completo Los once capítulos de la LGE, sus definiciones vinculantes, el régimen de infracciones con sus montos y plazos de prescripción, y las doce reformas que la cambiaron en treinta años. Una referencia para ubicar cualquier artículo antes de citarlo. es
- Métodos estadísticos para analizar un mercado eléctrico Por qué la media y la desviación estándar son el resumen equivocado para una serie de precios, qué mide de verdad una curva de duración, cómo no confundir hidrología con causalidad, y qué exige de estadística el propio reglamento salvadoreño en sus anexos 16 y 17. es
- Pronósticos en el mercado eléctrico: qué se pronostica y cómo se evalúa Cada horizonte de la programación necesita un pronóstico distinto y tolera un error distinto. Qué exige el reglamento, por qué la función de pérdida sale de la decisión y no del modelo, cómo se evalúa con origen móvil, y por qué un intervalo mal calibrado es peor que no dar intervalo. es
Contact
Open to collaboration
Get in touch
Grid operations, embedded systems, and applied data work.