Jose Portilla
Founder at Tio Magic Company
United States
Summary
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Rockstar🎓
Top School
Top expert inDjango E-Commerce Development
Jose Portilla is a founder and educator with 11 years of experience building data science training businesses and developer-focused courseware, having grown Pierian Training into a Udemy powerhouse with over 4.3 million students and exiting to Educate 360. He combines hands-on technical depth—authoring extensive Jupyter notebooks and course material on Python, algorithms, statistics, and data visualization—with strategic product and enterprise training leadership, including LLM and AI initiatives. Jose is comfortable both teaching complex concepts and implementing them in code, evidenced by prolific GitHub notebooks that demonstrate practical NumPy/Pandas workflows and algorithmic analyses. Now building a new venture in personalized animated storytelling, he blends engineering rigor, pedagogy, and creative product design to turn technical knowledge into scalable learning and consumer experiences.
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 (32)
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 (3)
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.
data-structuredata-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.
ipython
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