Jose Portilla
Founder at Tio Magic Company
United States
Summary
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Top expert inDjango E-Commerce Development
Jose Portilla is a founder and data science educator with a decade of experience building training products, technical curricula, and hands-on code. He founded Pierian Training, grew a global Udemy presence with over 4.3 million students and enterprise offerings for Fortune 500 clients, and led data science and LLM initiatives as Head of Data Science at Educate 360 following acquisition. His GitHub hosts extensive Python notebooks and course material on algorithms, data structures, and statistics, showcasing practical focus on Big-O analysis, visualization, and reproducible teaching code. Now leading Tio Magic Company, he is applying engineering rigor and product design to create personalized animated storytelling for children. A South Park Commons fellow with a BASc in Mechanical Engineering, he merges entrepreneurial scale, pedagogy, and hands-on technical craft.
11 years of coding experience
3 years of employment as a software developer
Bachelor of Applied Science - BASc Mechanical Engineering, Bachelor of Applied Science - BASc Mechanical Engineering at Santa Clara University
Stackoverflow
27reputation
3kreached
6answers
0questions
Github Skills (34)
data-visualizations10
algorithms10
python10
matplotlib10
pandas10
statistics10
data-visualisation10
data-structure10
numpy10
data-structures10
jupyter-notebook10
data-visualization10
data-analysis10
distributions9
hypothesis-testing9
Programming languages (2)
Github contributions (5)
jmportilla/Python-for-Algorithms--Data-Structures--and-Interviews
Oct 2015 - Jul 2022
Files for Udemy Course on Algorithms and Data Structures
Role in this project:
Back-end Developer
Back-end DeveloperContributions:94 commits, 4 PRs, 107 pushes in 6 years 9 months
Contributions summary:Jose's commits focus on implementing Big O analysis, Big O notation, data structures, and various sorting algorithms using Python. The user is working through an algorithms and data structures course, building out examples and solutions for the course content. The commits add content to the course related to specific data structures and how algorithms perform. The majority of commits relate to expanding on concepts of time efficiency.
cppalgorithms-and-data-structurespython3competitive-programmingdata-structures
jmportilla/Statistics-Notes
Mar 2015 - May 2015
iPython NOtebooks on Stats
Role in this project:Data Scientist
Data ScientistContributions:14 commits, 1 PR, 13 pushes in 2 months
Contributions summary:Jose primarily contributed to creating and documenting iPython notebooks focused on various statistical concepts and distributions. They implemented code examples and visualizations for discrete and continuous uniform distributions, the binomial distribution, the Poisson distribution, and the normal distribution. Furthermore, the user added notebooks on sampling techniques and hypothesis testing.
statisticspythonipython-notebooksnotebooksstats
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