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carlosfernandescrypt.github.io's Introduction

portfolio by Carlos Fernandes

(EN) - This portfolio is a compilation of notebooks and projects with data analysis, data engineering, software engineering and machine learning using python.

(PT) - Esse Portfolio é uma compilação de notebooks e projetos com análise de dados, engenharia de dados, engenharia de software e machine learning utilizando python.

Machine Learning

NLP Text summarization (Sumarização de Texto em python)

Github

This notebook shows how text can be summarized choosing several most important sentences from the text.

2-way Sentiment Analysis for Tweets (Análise de sentimentos em tweets)

Github

2-way polarity (positive, negative) classification system for tweets.

Speech Transcription (Algoritmo de transcrição de fala)

Github

Applying deep learning on Speech, the algorithm recognizes speech and transcribes it into text.

Language Translator (Algoritmo de tradução em python)

Github

Language translator using Google's modern Transformer architecture and Convolutional Networks.

Data Engineering

Linkedin Data Mining and Analysis (Mineração e Análise de dados do Linkedin)

Github

Exploring and viewing data from a linkedin account

Stock Market Analysis for Tech Stocks (Análise de ações)

Github

Analysis of technology stocks including change in price over time, daily returns, and stock behaviour prediction.

ETL pipeline

Github

ETL pipeline for I94 immigration, global land temperatures and US demographics datasets to form an analytics database on immigration events using spark.

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