Pablo L. Landeros

Applied Mathematics Undergrad @ ITAM. Interested in Machine Learning and Data Visualization applied to Sports Analytics.

Mexico City, Mexico

About 📊

Applied Mathematics student @ at ITAM working on my thesis: A Stochastic Model for NBA Substitutions .

-Born and raised in Mexico City.
-Interested in Data Visualization, Machine Learning and Statistics applied to Sports Analytics and Bioinformatics.
-Check out my contributions at 9plus6. Which are all dedicated to data visualization and statistical analysis of the NBA, NFL and other major league sports.

Skills 🔧


Education 🎓

    Instituto Tecnológico Autónomo de México, ITAM • Mexico City, Mexico

    B.S. in Applied Mathematics with Honorable Mention • Minor in Computer Science

    Undergraduate Thesis - Modelling Basketball as a Markov Process estimating transition probabilities through Regression Analysis.

    September 2017 - December 2020

    Universidad Anahuac Mexico Sur, UAMS • Mexico City, Mexico

    B.S. in Actuarial Science • Transfered after 2 semesters

    September 2016 - May 2017

    Modern American School • Mexico City, Mexico

    High School Diploma • GPA-9/10

    September 2012 - May 2015

    Cambridge University • Cambridge, UK

    Proficiency Certificate in English (C2)

    April 2015


Work Experience 💼

    Data Analysis Intern• Mexico City, Mexico

    KPMG Mexico

    July 2019 - February 2020

    Individual Math and Coding Classes• Mexico City, Mexico

    Algebra, Calculus, Data Structures, Chemistry, Physics

    October 2017 - Present

    Vice President• Mexico City, Mexico

    Sports Analytics Group @ ITAM

    June 2020 - Present

    Writer and Founder• Mexico City, Mexico


    December 2019 - Present


Projects 💻

Here are some of the projects I have worked on:

Exercises that I did for learning HTML, CSS, JS and Git version control at the ITAM web design lab.
JavaScript 1 0
A simple tool for encrypting and decryptying Vignere cyphered text.
JavaScript 1 0
Página para los códigos de la organización de Sports Analytics del ITAM.
R scripts for rendering my CV.
HTML 1 0
Code that I used to build this website.
HTML 1 0
A small unsupervised learning exercise where we classify mall customer types using K-means algorithm.
Jupyter Notebook 1 0
This is the python code for a Keylogger and screenshot taker malware.
Python 1 0
Python code for visualizing COVID-19 data.
Jupyter Notebook 1 0


Contact 📝

Fill out this form and I'll get back to you within 1-2 days.

I added personal touches to this wonderful template provided by Github.
Published May of 2020