Data Scientist with background in Apple Technical Department.After 5 years working in Apple, I decided to update my career to areas I have always loved: IA, Big Data and Technology.• Main Data Science Skills: Python, Pandas, Numpy, Web Scrapping (Selenium and BeautifulSoup), Machine Learning (Scikit-Learn), Deep learning (Neural Networks, Keras, Pytorch, Tensorflow), Genetic Algorithms, Folium (Maps), NLTK for NLP (Natural Language Processing), Matplotlib, Seaborn, Requests, APIs, Data Cleaning, Data Manipulation, Data Interpretation, Data Visualization, Descriptive Statistics, Business Intelligence, MySQL, RStudio, MongoDB, Data Bases (DDBB).• About me: For me, a good working environment it is very important, that is why I like to promote it. I'm analytical and focused in solve problems, I can take responsibilities, managing work teams and work under pressure, also good in planification.