Hola!
Welcome to my Data-Science portfolio where I host some of my favorite projects related to Data Science and Data Analysis.
I’m Elias from Berlin City, In my free time I love to learn and practice using Data Science to solve problems. From simple data analysis tasks using Pandas up to developing machine learning models using scikit-learn. My preferred tool for working with data is Python. I have proficiency in libraries like pandas, numpy, matplotlib, seaborn, scikit-learn. As well as querying languages like SQL and
PostgreSQL.
In this website you can find some projects related to Data-Science and Data Analysis that I’ve worked on. All my projects are written using Jupyter Notebooks for easy sharing and collaboration. In order to reproduce this code on your side, I’ve provided two ways of doing so. If you wish to run the code interactively, please click on the 
badge to run the code on a binder server in your browser. For a static rendered version, please follow the links provided.
Note: Since some of my notebooks use
plotlyfor generating interactive plots, using a static rendered notebook might not work sometimes. If this is the case, and you are not seeing any output, please consider using the binder link to run the notebook interactively.
Data Analysis Projects
Mostly Data Analysis related projects covering data cleaning and wrangling, Visualization, API data collection and data analysis using Python and SQL.
Data Science Projects
Work related to my time as Data Science Working Student. Inclouding Machine Learning and Data Science applications