Here's my Linkedin Profile.

• Alkemy Challenge: An ETL challenge project, containerized using Docker.

• Trip Advisor Scraper: A web scraper written in Python that extracts restaurant information in Mexico from the Trip Advisor website and stores it into a csv files.

• PG_Olist: A grupal project where we help to an Argentinian E-commerce to evaluate the possibility of open a branch office in Brasil, based on an Olist dataset with over 100k sales records. We also provided a Big Data environment contained in Docker in case the E-commerce decide to open the branch office. My main rol in the project was Data Engineer.

• Hackaton Henry: A hackaton based on the famouse House price prediction, using the RMSLE (root mean squared log error) as score.

• PI: An individual project where I did a procces of automation to extract, transform and load the data into a data base (ETL). I also provided a quality report with some plots showing the original state of the data.

• Python (Pandas | Numpy | Scikit-learn | Matplotlib | Seaborn | Plotly)
• SQL (MySql | PostgreSQL)
• Docker
• Git
• Hadoop
• Hive
• Spark
• Power BI

import pandas as pd
df_humans = pd.read_csv('humans.csv')
df_humans[df_humans.profession == "Data_Scientist"]