miguelnietop,Miguel Nieto,github

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Name: Miguel Nieto

Type: User

Bio: Data Scientist 📊 ▪️ Python 🐍 ▪️ SQL 🗄 ▪️ R 📈 ▪️ Pandas 🐼 ▪️ NumPy 📐 ▪️ Pyspark 📚 ▪️ Scikit-Learn 🌳 ▪️ Machine Learning ⚙️ ▪️ Keras 🧠 ▪️ Deep Learning ⛓

Location: Leganés, Madrid

👋 Hi, I’m Miguel (@MiguelNietoP) and I'm an Ecuadorian/Spanish Data Scientist who is just beginning in this exciting world of data and its utilities. From visualizations and statistics to prediction models using Machine Learning and Deep Learning, I'm in the process of becoming the best version of myself both personally and professionally.
👀 I’m interested in Programming Languages, Machine Learning, Deep Learning, AI, Statistics, Economics, Technology and Video Games.
🌱 I’m currently completing my study at Hack A Boss's Data Science bootcamp where I've been learning about Python, Data Processing, ETL tools, EDA tools, Machine Learning, Deep Learning, Big Data, MySQL and Power BI.
💞️ I’m looking to collaborate on new projects that teach me new aspects of knowledge about my profession and where I can contribute with what I already know to add value as a team. Besides, who doesn't enjoy having a good time while working on a project?.
📫 How to reach me:

📧 [email protected]
📲 (+34) 674 488 860
📍 Leganés, Madrid
👨‍💻 www.linkedin.com/in/miguel-nieto-p

Miguel Nieto's Projects

flight-delay-prediction---streamlit-project

Utilizando un dataset con más de 29 millones de datos, entrenamos una red neuronal de Keras para predecir el retraso o adelanto de un vuelo dado. Integramos todo con Streamlit para una experiencia más completa, una página web.

frankfurter

Cambio de divisas y predicción de su evolución.

lastfm---etl-project

Proyecto de Extraction, Transform and Load (ETL) y de Exploratory Data Analysis (EDA), utilizando las APIs de LastFM y Airtable, realizado en conjunto con Germán Fernández y Sergio Soler para el bootcamp de Data Science impartido por Hack A Boss.

miguelnietop

Config files for my GitHub profile.

sentiment-vs-emotion-prediction--tweets----ml-nlp-project

Proyecto de NLP entrenando modelos de ML para predecir el sentimiento y la emoción de un tweet utilizando un dataset de casi 25.000 tweets. Realizado en conjunto con Germán Fernández y Sergio Soler para el bootcamp de Data Science impartido por Hack A Boss.

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