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Hello a todas las personas, I'm Isaac Arroyo 🇲🇽 👋

I do data analysis and visualization as a Data Analyst in N+ Focus, the investigative journalism unit of N+ (Televisa-Univision). I work at the intersection of numbers/math, shapes and colours.

If you want to see my projects, you can visit my Behance profile or look at my 📌 pinned projects.

Quick summary about my academic background

  • ⚛️ I have a BSc. in Engineering Physics.
  • 🌳🔥🌳 My undergraduate thesis focused on exploring and visualizing wildfire records and environmental data from different sources (satellite imagery was one of them 🛰️ 🗺️). Here are a Medium article I wrote and the GitHub repo of my undegrad thesis project.

My professional interests 🤓

Although my background is in physics, I aim to use my data analysis and visualization skills in other fields. For example, social sciences and human rights 🧑‍🤝‍🧑👬👭, the arts 🎨, public policy 🏛️ and the environment (hence my undergrad thesis) 🌱🍃.

My tech, data and math skills 📝

Due to my engineering degree, I have strong knowledge of math (i.e. statistics & linear algebra) and unsupervised learning (anomaly detection & pattern recognition ). I mostly do data analysis and visualization with Python and R (and soon, Observable Plot). Also, I know my way with design software (Adobe Illustrator) and other types of data visualization tools, such as Datawrapper and Flourish.

Other things about me ✨

  • 🎧 I love listening to Alessia Cara, Taylor Swift, The Warning, Last Dinner Party & Residente/Calle 13.
  • 🎥 "The secret life of Walter Mitty" is my favourite movie and the one that inspired and motivated me to learn photography.
  • 🎨 I love art, especially painting and architecture. I enjoy going to art exhibitions and learning about art history.

Isaac Arroyo's Projects

2021_afe_firecongress09 icon 2021_afe_firecongress09

This repository aims to complement the poster shared at the 9th International Fire Ecology and Management Congress, hosted virtually from November 30 to December 3.

crime_analysis_mx2017 icon crime_analysis_mx2017

Comparing the Elbow Method and Silhouette Method for choosing the optimal number of clusters in K-Means algorithm

datos_facil_acceso icon datos_facil_acceso

Datos que uso continuamente y los tengo en un CSV pre-preocesado que me facilitan la combinación o transformación de ellos para proyectos

fer_without_ann icon fer_without_ann

Machine Learning Project where the approach to a Facial Expression Recognition (FER) problem is with Classical Machine Learning Algorithms

spotify_anomalies_kmeans-lof icon spotify_anomalies_kmeans-lof

Data Science project where I explore my own Spotify data, specifically the song I listened to during my time in college

ss_plots icon ss_plots

Repositorio de gráficas realizadas en Python para mis boletines de servicio social (Ecuaciones Diferenciales y Análisis Vectorial) || Repository of the plots made in Python for my social service bulletins (Differential Equations and Vector Calculus)

tidy_tuesday_r icon tidy_tuesday_r

Contributions to the #TidyTuesday challenge created by @R4DScommunity

tutoriales_esp icon tutoriales_esp

Tutoriales sobre temas relacionados a ciencia/analisis de datos, matemáticas, entre otros.

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