SIATA download automation
2022 (Under development)
The SIATA (Sistema de Alerta Temprana de Medellín y el Valle de Aburrá) manage a network of
meteorological, hydroclimatic and air quality stations around the Aburrá Valley. They provided free access
to download the whole data; just create an account and download file by file. However the process is slow and tedious,
because every file is just a month from a station.
The first part of this project is intended to solve the download automation system, implementing ETL techniques
to Extract data massively from source, Transfom the data performing a cleaning and validation process, and Loading
the data into a MySQL DB.
I'll hope you find interesting this project, is still under development😉
Code Abbey Solutions
2021
The solutions presented were developed using non-canonical programming languages like Python, Java or C++.
Instead, I was forced to use specific programming languages, like Hy,
Reason and Groovy.
I'm sharing this knowledgeas as a project, because besides I was an working as Imersion Trainee in
Autonomic Mind and this could be considered as a job, I put
a lot of effort developing this solutions. I was able to convince myself that I know how to program and
also a proof to consider myself as an autodidact.
Please go and read more about this project! 😎
CS50's Computer Science
2020 - 2021
I'll like to share you the solutions of CS50x-2021 Open Ware Course.
The CS 50 is a legendary course taught by the Harvard University. This version is provided by Edx
in alliance with HarvardX. As graduated from the course I was always searching for documentation or
some extra material to accomplished the course. I'm pleased to share you my personal solutions; as study material
and as exercise to put in into my portfolio. Please be aware about Academic Honesty Policy.
Never use this repository as solution, always code yourself and present your own solution.
Good luck! ✌
Acámica Data Scientist
2020 - 2021
This was my first project as data scientist.
I acquired knowledge on Python Data Science libraries like Pandas, Numpy, Scikit-learn, Matplotlib and
be used to typical data scientist workflows.
In the last project I used web scraping to obtain hydroclimatic data from 8 years on Medellín, then adjust the data
to find some relation between dengue fever cases and precipitation and temperature.
Finally I trained machine learning models and a neural network to predict dengue fever cases.
In 2021 I uploaded the code to Git-hub and try to publish in a website. In 2022, when I was developing this site,
I get motivated and made a remake of the project.
Please check both versions and look the improvements! 🤓