Hi there, Fabio here

I am an A.I. post-graduation student and an experienced system analyst for the financial sector (experience in banks and exchanges) by designing solutions, developing programs as Sr Cobol code, and leading a multi-skilled team as a tech lead.

Now I am pursuing a career change to the A.I. world, programming in python and eating books about statistics and mathematicss.

I am currently working on a private personal project building a python lib for helping EDA in Jupyter notebook environments.

I am also starting a youtube channel to share my discoveries in data science as well as a blog/medium to share knowledge called sigma squared.

You can reach me by mail at [email protected] or [email protected]

It is my humble repository. I hope you can find something useful.

I am currently working on the following projects:

Project	Description	Status
Kitai Hakai	A simple chat-bot for telegram, light and customizable	-[x] beta version available
COVID-19 Detection	Detects COVID-19 in lung X-rays using Convolutional Neural Networks. This is an improved version of parts of a college group project I participated in. I extracted the parts I worked on and reworked the code to optimize it and focus on detection via CNN.	-[x] Jupyter Notebook finished
Slotermeyer	Python Lib for speeding up EDA process. For Kagglers analyzing data through EDA and descriptive analysis in the Jupyter environment.	-[x] Alpha Private Version
SigmaSquared	A repository for keeping the source codes from my channel project to share knowledge about A.I. through videos and articles.	-[ ] In progress

Sample of the current state of Slotermeyer Lib :

From a pandas dataframe you can, with a simple command, generate a report on your data organized into sessions and tabs. Summary, Numerical data, and Categorical data, proving information and graphs using descriptive analysis techniques. Theses and many more functions for univariate and multivariate analysis, time-series analysis, and much more.

This way, the user can have information about their data with just a few lines of code, organized in a cleaner way within the Jupyter notebook. Instead of having to scroll through pages and pages, the user uses tabs and sections that are organized by features.

Summary of the dataset (using Kaggle Titanic dataset for testing)

Describing numerical features using Univariate analysis:

Prototype of an interactive Scatterplot:

Thank you for visiting and don't forget to party with parrots!

_{Find more party parrots here, all the birds here are from there. =]}

Fabio D. Junior's Projects

airbot

Academic project for building a Stock Trading Bot using Deep Reinforcement Learning.

augmented_reality_workshop_arjs

This is a quick start for creating an augmented reality app with AR.js and AFrame.js.

brainaihub

API for the academic project Air Bot, team Brain. This repository contains the source code for the aihub functionality, which is composed by a simple chatbot able to sumarize information about stock tickers.

brainapi

Source code for the Academic project group A3 - Brain, for a stock trading bot.

brainsimulator

This repository is part of an Academic project for building a stock trading project for the final term post graduation AI Course. This repository contains the tool we created to test and compare our models using historical data.

covid-19-cnn

College project aimed at creating a convolutional neural network to identify COVID-19 through lung X-ray images.

fabiod-junior.github.io

Testing on tradingbot tech and marketing stucf

finrl

FinRL: Financial Reinforcement Learning. 🔥

finrl_mini

A smaller version of the FINRL with adaptations in order to run only the paper trading basic environment. The intention is to create a "lighter" version removing non used modules like Alpaca and the Chinese stock market.

generativeai

This repository contains notebooks with academic projects to practice and explore image creation using AI, where the use of VAE (Variational Autoencoders) and GANs (Generative Adversarial Networks) was explored to generate human faces based on a dataset with examples.