About me

I am a Control and Automation Engineer who graduated from UFMG with a Data Science specialization and a Master’s degree in optimization at UFMG (PPGEE). With 5+ years of experience in Industrial IT in the steelmaking and mining industries, I have practical experience with machine learning, optimization, and software engineering/architecture applied to industrial problems. Solid skills in Python, C#, Web development (HTML/CSS/React/Typescript), SQL, operations research, mixed integer programming, non-linear optimization, and machine learning.

Projects

Checkout some of my projects!

1. Redes Neurais Artificiais 2020/2 - PPGEE
2. Computação Evolucionária 2020/1 - PPGEE
3. Otimização em Redes 2020/1 - PPGEE
4. Real-time optimization (Master’s thesis) - PPGEE
5. VSB Power Line Fault Detection - Kaggle
6. Tenesse Eastman Process Anomaly Detection using LSTM Autoencoders - Kaggle

Notebooks

• Real-Time Optimization Tutorial
• Modifier Adaptation as a Contrained Bayesian Optimization problem

Blog Posts

• LSTM Autoencoders — Detecting anomalies in the Tennessee Eastman Process
• Why Does it Matter to Analyze your Indoor Cycling Training Data

Publications

2021 Conference on Control and Automation Technology - CCTA

Investigation of Initial Data and Optimizer in Real-Time Optimization Performance via Modifier Adaptation with Gaussian Processes

• Manuscript: Click here
• Source: [Notebook] [Code]

Contact information

• LinkedIn: https://www.linkedin.com/in/victorspruela/
• E-mail: victorspruela@ufmg.br