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Hi 👋, I'm Antonioni Campos!

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Intro

I am a researcher at the Petrobras Research Center (CENPES). I've been working on projects in the field of Computational Intelligence and Data Science for the last 5 years. I've been work mainly on projects in the area of fault detection and diagnosis in equipment and processes using ML algorithms, application of NLP to evaluate equipment inspection reports, data-driven inference for chemical processes' variables. I also have been giving Python training to engineers for 3 years now.

I like programming so, for many years, I've been learning how to programming on a series of languages and tools to develop products in general. I worked with lots of full-stack tecnologies.


About Me

  • 🔭 I’m currently working at Petrobras

  • 📚 I have bachelor degree in Mechanical Engineering at UFPE (Universidade Federal de Pernambuco). I have a postgraduate degree at PUC-RIO in the field of Data Science and I am doing my master's degree in Computational Intelligence on the Electrical Engineering Department at UFRJ

  • 🌱 I’m currently learning about Kernels

  • ⚡ Fun fact: I play the guitar in the free time


Languages and Tools

Data Science Skills

Python OpenCV Keras Hadoop TensorFlow pytorch Azure

Others

C# .NET Git Material UI C Java Node.js InfluxDB C++ React JavaScript PostgreSQL Raspberry Pi LaTeX Flask PowerShell Docker GitLab

Github Stats


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Antonioni Campos's Projects

anomaly-detection icon anomaly-detection

Implementação de modelos Autoencoder e LSTM-Autoencoder para detecção de anomalias.

extended-kalman-filter icon extended-kalman-filter

Self-driving Car Nanodegree Project 1/Term 2 - Applying a Kalman Filter to estimate the state of a moving object with lidar and radar measurements.

horse-dataset icon horse-dataset

Predição de quando ou não um cavalo sobrevive baseado em condições médicas.

itaiuba icon itaiuba

Estudo estatístico para a geração de Itaîuba.

kidnapped-vehicle icon kidnapped-vehicle

Self-driving Car Nanodegree Project 3/Term 2 - Implementation a 2 dimensional particle filter in C++. Your particle filter will be given a map and some initial localization information (analogous to what a GPS would provide). At each time step your filter will also get observation and control data.

mpc-project icon mpc-project

Self-driving Car Nanodegree Project 5/Term 2 - Implementation of a Model Predictive Control to drive a car around a track on a simulation.

p1-findinglanelines icon p1-findinglanelines

Project 1 - Self-Driving Car Engineering Nanodegree (Udacity). Detection of lane lines of the roads in images.

p3-behavioralcloning icon p3-behavioralcloning

Deep neural networks and convolutional neural networks project to clone driving behavior using Keras. The model will output a steering angle to an autonomous vehicle.

p4-advancedlanelines icon p4-advancedlanelines

Using Computer Vision to create a pipeline to identify the lane boundaries in a video from a front-facing camera on a car.

p5-vehicledetection icon p5-vehicledetection

Software pipeline to identify vehicles in a video from a front-facing camera on a car.

pid-controller icon pid-controller

Self-driving Car Nanodegree Project 4/Term 2 - implementation of a PID controller in C++ to maneuver the vehicle around the track.

sa-nn icon sa-nn

Simulated Annealing for Neural Networks

tep-meets-lstm icon tep-meets-lstm

Chemical Process Fault Detection Using Long Short-Term Memory Recurrent Neural Network.

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