- This repo contains projects done which applies principles in data engineering and data science.
- SQL Data Exploration ✅
- Use SQL, don't be scared, do queries and don't be a pandas dependent.
- This project was queried on PostgreSQL.
- This project is about covid-data exploration. Looking for simples KPIs as Tocal Cases/Population, Percent of People vaccinated, etc.
- Explanatory Data Analysis and Data Presentation ✅
- Pandas is maybe the most powerful library for data science and a must for all of the Data Scientist.
- In this project I work on a movies dataset and I do some data exploration and transformation using the popular python library "Pandas".
- Classification model using Apache Spark ✅
- Why spark? Spark DataFrame is distributed and hence processing in the Spark DataFrame is faster for a large amount of data. Spark DataFrames are excellent for building a scalable application.
- In this project, I make a model classification using Apache Spark.
- I use decision tree as classifier to predict days with low humidity.
- Power BI-Personal Finance report ✅
- Power BI is an amazing BI tool for data exploration, transformation, use Power BI and increase your productivity doing incredible things.
- In this project I work on a personal finance report.
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This ETL process extract data from Google Big Query and then clean it to finally save it into a MSS DB.
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This ETL process extract data from a SFTP, clean it and then loading into a MSS DB.
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UiPath is a a powerful RPA software, in this project we work with it as a orchestator for a ETL process where the data is extracting from Power Bi as pdfs, then we make some transformations. Finally, we send the final report using email.
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This project is a web scrapper. I use libraries such as bs4 and requests.
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This scraper takes the dolar value from BNA (Banco Nacional de Buenos Aires) and converts it to Argentine Peso (ARS)
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Virtual Assistant in Python. It works with different libraries to emulate the behavior of different VA's offered in the market such as Alexa, Siri, Cortana, etc.