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Hi there, I'm Camilo - aka TheCamilovisk

  • I'm a Master Electrical Engineer by Federal University of Pará
  • I'm a Data Scientist and Machine Learning Practitioner
  • I'm a Python Developer and Enthusiast
  • I'm currently a Data Scientist at Propz
  • Fun fact: I love video games and TV/web series (Sci-fi, fantasy and mistery, more precisely)

Connect with me:

thecamilovisk.github.io/ camilolgon | Medium TheCamilovisk | Github camilo-assis-a9712669 | LinkedIn camilolgon | Twitter



Languages and Tools:

Project Jupyter Visual Studio Code Python Language Anaconda package Pandas library Numpy library OpenCV library Numpy library Pytorch library Tensorflow library Keras library Sci-kit Learn framework FastAPI framework Django framework HTML 5 CSS 3 JavaScript MySQL Scala language Apache Spark




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Camilo Gonçalves's Projects

chatlit icon chatlit

A RAG application for chatting with PDF documents. The LLM backend can be supplied by the OpenAI API or Ollama for local development.

churnpredictionapp icon churnpredictionapp

This project is a simple approach to create a deployment process of a simple but complete Machine Learning App to AWS cloud services.

datascienceminiprojects icon datascienceminiprojects

Explore a collection of concise data science projects covering data analysis, visualization, and machine learning techniques in the DataScienceMiniProjects repository.

housepricepredictionapp icon housepricepredictionapp

In this project we'll build a ML powered web app to predict the price of a house given some house features.

rossmannsalesforecasting icon rossmannsalesforecasting

This project applies SARIMAX, Prophet, and XGBoost algorithms to predict future retail sales using time series data from multiple stores.

wagondetection icon wagondetection

MobileNetV1, MobileNetV2, VGG based SSD/SSD-lite implementation in Pytorch 1.0 / Pytorch 0.4. Out-of-box support for retraining on Open Images dataset. ONNX and Caffe2 support. Experiment Ideas like CoordConv.

yoloprojects icon yoloprojects

This project is meant to give a concise overview of the YOLO models family. Following a series of projects, we'll go through YOLO's development history, technical breakthroughs, use cases, and practical projects. Although I plan to use several packages, our main focus will be the Ultralytics package and its API.

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