
Skills
- Programming Languages: Python, SQL, UNIX
- Analytics and ML: NumPy, Pandas, Scikit-learn
Tools
- Database Tools: MySQL, MongoDB
- Visualization Tools: Streamlit, Tableau, Power BI, Seaborn, Looker, Plotly
- Automation: BeautifulSoup, Selenium
- Cloud Computing: Google Cloud Platform (GCP), IBM Cloud Pak
- Big Data: Apache Hadoop, Hive, MapReduce, BigQuery
- DevOps: Docker, Kubernetes, Azure DevOps, Scrum
- Large Language Models: Langchain, Pinecone, ChromaDB
Software
PyCharm, Jupyter, Microsoft OfficeAbout me
Hello! I'm Miguel Ángel, Philosopher and Data Scientist with experience in HR Analytics and Retail Analytics.
I'm passionate about data, Machine Learning and Artificial Intelligence. Dynamic, responsible and always looking to learn new things to improve my day to day work.
I love good reading, sports, podcasts and contemporary classical music (alternative/instrumentalist).
I see Data Science as a field with a lot of conditional decision-making. Creating something useful in these complex and conditional circumstances is usually about working out what matters, and which tools and data are going to provide the greatest upside during the time available.
Domains
Data Science, Data Analytics,Business Intelligence
Projects
Work Experience
Education

Data Science Certification Program
Faculty of EngineeringData Analytics Bootcamp

Bachelor's Degree in Philosophy
“A data scientist is someone who can obtain, scrub, explore, model and interpret data, blending hacking, statistics and machine learning. Data scientists not only are adept at working with data, but appreciate data itself as a first-class product.”
- Hillary Mason, co-founder of HackNY
Collaborations

Microsoft Word Experience

Podcast Listening Experience

Airbnb Website Experience

CPU Awareness & Perceptions

Identity History Translation

Content Reviews Translation

Events Experience - Getting Together Virtually

CRM Software Release Updates
