Howdy! I am Manuel a Business Intelligence Developer with a background in economics and a passion for using data and code to make our life's more enjoyable. I believe data offers inmense potential to dirve positive change!

• Economics: I am fascinated by behavioral economics, analysing why certain decisions are made and their consequences in the market.

• Sports: Ethusiast of rugby 🏉, football ⚽, running 🏃 and weight lifting. I have used data to analyse my workouts and plan to build a project related to rugby and football.

  • I built PyStrava to analyze my workout data and optmize my training.

• Art: Appreciating the beauty and creativity in various forms of art, from traditional to digital expressions and even AI generated. 🖼️

• AI: I believe AI is the future. This tool will determine the next decades of humanity. We need to embrace it! 🤖

• Writing: Recently started writing more about my experiences in the data/coding world. You can read more on my Linkedin and Medium

I am always open to meeting liked minded people and to collaborate!

     

• Building PyStrava V2, now showcasing stats through a web app and coding an automated ETL pipeline.
• Working on mastering the fundamentals of CS with Harvard's CS 50 course.

1. ⭐ Starred igorbarinov/awesome-data-engineering
2. 📔 Created new repository ManuelElizaldi/CS50
3. ⭐ Starred meta4/mplcal

• Shoe Dog: A Memoir by the Creator of Nike by Phil Knight (unrated)

• The Hitchhiker’s Guide to the Galaxy (Hitchhiker's Guide to the Galaxy, #1) by Douglas Adams (⭐⭐⭐⭐⭐)
• Goodnight Punpun Omnibus, Vol. 4 by Inio Asano (⭐⭐⭐⭐⭐)
• Fahrenheit 451 by Ray Bradbury (⭐⭐⭐⭐)
• Kitchen Confidential: Adventures in the Culinary Underbelly by Anthony Bourdain (⭐⭐⭐⭐)
• The Artist's Way: A Spiritual Path to Higher Creativity by Julia Cameron (⭐⭐⭐⭐⭐)