I am a dedicated, detail-oriented, and reliable person, who believes to find a common language with everyone. As I enjoy learning and problem-solving, I decided to develop my skillset further in the data analytics field. Therefore, I have gained experience in SQL, MySQL, Data Visualization, Python, Tableau, Machine Learning, and more. Whilst developing my knowledge in these areas, I have finished many projects that progressed me to thrive within the data analytics field, also from a professional standpoint.

• ⛵ Titanic: The basic idea is to build a ML model which predicts whether a passenger survived or died in the Titanic shipwreck.

• 🌇 Airbnb Berlin: Simple descriptive analysis aiming to show price ranges for each neighborhood as well as frequency analysis of the words used to describe listings titles

• 🔉 Music Recommender: App that takes user's favorite song and gives suggestions for similar songs, based on audiofeatures. The magic happens thanks to a database of 10,000 songs (collected by Spotify API & Webscrapping) and an Unsupervised Machine Learning algorithm (K-means clustering).

• 🚌 Barcelona Public Transport: This project analyzes the accessibility and density of public transportation in Barcelona. The main focus is on the number of bus, metro, and/or taxi stops in certain areas.

• ❓ Guess the secret number: Simple python game aimed to guess a number that has been randomly selected.

• 🧠 UX Research: Small summary of the UX Research I have conducted.

• 365 DataScience: Online data science course

• Ironhack - Data analytics bootcamp: 9 very intensive weeks working together with other students on Python, SQL, Tableau, statistics and machine learning

• Python Basics: First Python contact