Aaron Schumacher
You can connect with me via LinkedIn, GitHub, Threads, X, and email. Let's share books!
I made a little FAQ based on questions I get from people. I have a vision and mission. Here's an hour of me talking about career stuff.
Sometimes people ask me for a bio:
Aaron Schumacher is a Data Scientist at Meta. He was previously at Deep Learning Analytics and General Dynamics Mission Systems. He has taught with Python and R for General Assembly and the Metis data science bootcamp. Aaron has also worked with data at Booz Allen Hamilton, New York University, and the New York City Department of Education. He studied mathematics at the University of Wisconsin–Madison and teaching mathematics at Bard College. Aaron's career-best breakdancing result was advancing to the semi-finals of the R16 Korea 2009 individual footwork battle.
An older version of the above went up on O'Reilly with the publication of Hello, TensorFlow!. The following accompanies the Chinese version:
Aaron Schumacher是深度学习分析公司的数据科学家和软件工程师。他在联合国大会和麦迪斯数据科学训练营里教授Python和R语言。Aaron曾在博思艾伦咨询公司,纽约大学和纽约市教育局任职并从事数据工作。Aaron生涯最好的霹雳舞成绩是挺近R16韩国2009大赛个人街舞的半决赛。他现在很荣幸地被评为TensorFlow 0.9版的次重要贡献者。
Here are some things I've talked about:
- Industry Panel for CMU-Africa "Data Structures for Engineers" class on Thursday 2024-03-21
- Fireside Chat / Pro Tips (with Codecademy) on Tuesday 2023-09-19
- SQL technical interview prep for Hack Diversity on Thursday 2022-03-24
- Databases, data modeling, and SQL for Hack Diversity on Friday 2022-02-04
- Deep Reinforcement Learning at GDMS ML CoI on Monday April 5, 2021
- Statistical Rethinking: Ulysses' compass at GDMS ML CoI on Monday January 25, 2021
- Experiment with Abseil Flags at Magnimind on Wednesday September 9, 2020
- Abseil and Vexilog for ML Experiment Management at GDMS ML CoI on Monday July 13, 2020
- DoD Ethical Principles for Artificial Intelligence at GDMS ML CoI on Monday March 23, 2020
- ML ATR in ISAR Video at GDMS ML CoI on Monday February 24, 2020
- Event Sourcing at The Joy of Programming meetup on Wednesday September 4, 2019
- What Machine Learning can do for You at GDMS ML CoI on Monday August 26, 2019
- Data Science Hiring Panel at General Assembly DC on Thursday May 2, 2019
- Action and Analysis in the 2018 NY Senate District 5 Election (lightning talk) at Data Science DC on Thursday March 14, 2019
- Deep Learning Tech Panel at WeWork White House on Wednesday August 22, 2018
- Data Science + HR panel at General Assembly DC on Wednesday November 29, 2017
- Deep Reinforcement Learning at Data Science DC on Tuesday November 14, 2017
- More and Better: The New TensorFlow APIs (video) as an Altoros webinar on Wednesday May 24, 2017
- Caffe and TensorFlow at Deep Learning Analytics at OSCON's TensorFlow Day, Wednesday May 10, 2017
- Building TensorFlow Systems from Components at OSCON on Tuesday May 9, 2017
- Hello, TensorFlow! (video) at the DC GA Data Science Immersive on Wednesday October 5, 2016, and at NVIDIA GTC DC on Wednesday October 26, 2016
- Hello, TensorFlow! at the TensorFlow DC Meetup on Wednesday June 29, 2016
- How to Eat Computers at two schools on December 4 and 8, 2015
- Creative Data Science at the World Bank on Thursday November 12, 2015
- Practical Mergic at the Open Data Science Conference on Saturday May 30, 2015
- Practical Mergic at the New York Open Statistical Programming Meetup on Wednesday May 20, 2015
- mergic (lightning talk) at PyData NYC on Thursday May 14, 2015
- Data Science isn't Magic at DC Open Data Day on Friday February 20, 2015
- gog: a separate layer for visualization at the DC Monthly Challenge on Monday January 19, 2015
- Please stop saying “Big Data” at AIR on Monday December 15, 2014
- Well-Used Simple Tools at Design Thinking DC on Monday November 17, 2014
- JSON-stat and rjstat at Statistical Programming DC on Thursday October 23, 2014
- Emacs for Python (video) at DC Python meetup on Tuesday October 7, 2014
- Data and Truth at csv,conf 2014 (Berlin) on Tuesday July 15, 2014
- Clean Data With R at Data Wranglers DC meetup on Wednesday January 8, 2014
- A Rapid Prototype with D3 at NYC D3.js meetup on Thursday May 30, 2013
- NYC School Data Explorer at NYC D3.js meetup on Monday October 22, 2012
Here are some things I've made:
- ohana: Capital One Code <FAM> hackathon project
- Hello, TensorFlow! is now an interactive code and video Oriole.
- PerceptronModel: simple binary classifier contributed to simple-statistics
- mergic: workflow support for reproducible deduplication and merging
- askreduce: tiny Django app; workshop question sequence for Python newcomers
- gog: a separate layer for visualization
- cnfg: simple Python config in your home directory
- emacs.link: an attractive convenience site for downloading and installing Emacs
- rjstat: an R package to read and write JSON-stat
- Popularity Contest: A little hack on the twitter API. Likely to break.
- NYC Test Data: some analysis/visualization of available NYC public school test data
- skribi.es: simple experimental micro-survey or sign-up interface.
- mcasta.net: interface for Massachusetts Comprehensive Assessment System (MCAS) mathematics questions
- naldaramjui.com: interface for questions from the Test Of Proficiency In Korean
- @NYCattends: automated system to archive and tweet NYC public school attendance
- theograph: prototype of an interactive patient health timeline for the UK's NHS at the GovLab Experiment
- subway usage: D3 calendar visualization of NYC subway usage
- school data explorer: my first d3 project, loaded with data animation messiness
Here is some nice recognition:
- Awardee: Analyst Institute Expy Award for outstanding experiment, 2019
- Winner: Texata Big Data Analytics World Championship for 2017
- Press coverage: Show-And-Tell For The Hacker Crowd on WAMU on November 14, 2014
- Winning team: Arlington Public Schools Big Data Roundtable, September 10, 2014
- Winning team: Institute for Public Knowledge Datathon on Climate Change and Cities, March 9-10, 2013