Paul Deitel - Python Instructor, Master Of Financial Engineering (MFE) Program at UCLA Anderson School of Management

Paul Deitel

Python Instructor, Master Of Financial Engineering (MFE) Program at UCLA Anderson School of Management

Sudbury, Massachusetts, United States

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Summary

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Senior

🎓

Top School

Paul Deitel is a veteran author, educator, and CEO with decades of experience translating complex programming and data science topics into classroom-ready courses and bestselling textbooks. As founder and CTO of Deitel & Associates and an MIT Sloan-trained technologist, he has delivered corporate and academic training for top institutions (IBM, NASA, Boeing) and holds recognition as an Oracle Java Champion and former Microsoft C# MVP. He currently teaches Python to UCLA’s MFE and MSBA programs and maintains active, practical engagement with hands-on notebooks and examples—updating AI, NLP, and deep learning materials used in his Python Data Science and Python for Programmers repositories. Known for turning bleeding-edge APIs and datasets into clear, reproducible examples, he blends pedagogical clarity with production-grade code. Based in Sudbury, MA, he balances leadership and continual technical contribution, making advanced topics accessible to both students and enterprise engineers alike.

8 years of coding experience

BS Sloan School of Management, BS Sloan School of Management at Massachusetts Institute of Technology

Bachelor of Science (B.S.) Information Technology, Bachelor of Science (B.S.) Information Technology at MIT Sloan School of Management

High School, High School at The Lawrenceville School

Stackoverflow

Stats

109reputation

9kreached

0answers

4questions

Github Skills (34)

data-visualizations10

git10

github10

python10

scikit10

git-repository10

machine-learning10

data-visualisation10

numpy10

sentiment-analysis10

keras10

tensorflow10

natural-language-processing10

scikit-learn10

jupyter-notebook10

Programming languages (12)

TypeScriptJavaC++CCMakeJavaScriptPHPHTML

Github contributions (5)

pdeitel/PythonFundamentalsLiveLessons

Jun 2019 - Dec 2022

Example code for Our Python Fundamentals LiveLessons Videos

Role in this project:

Data Scientist

Contributions:13 commits, 14 pushes, 1 branch in 3 years 6 months

Contributions summary:Paul contributed example code and notebooks for Python fundamentals, particularly focusing on machine learning concepts. Their work included implementations related to k-Nearest Neighbors, data visualization, and the use of the IMDb movie reviews dataset with Recurrent Neural Networks. These commits demonstrate a focus on applying machine learning techniques and model development using Python and relevant libraries.

pythondata-sciencevideosfundamentalsvideo

pdeitel/IntroToPython

Mar 2019 - Oct 2022

Files associated with our book Intro to Python for Computer Science and Data Science

Role in this project:

Data Scientist

Contributions:28 commits, 24 pushes, 1 branch in 3 years 8 months

Contributions summary:Paul primarily contributed to example code and notebooks associated with the book "Intro to Python for Computer Science and Data Science". Their work included initial file uploads, fixes to incorrect imports, and updates to remove inappropriate content, indicating a role in curating and refining the examples. The user also made modifications to code snippets, including those related to data visualization, machine learning, and Twitter API interactions, specifically Tweepy for the v2 APIs.

pythoncomputer-sciencesciencedata-science

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