Joe Reis 🤓

Chief Operating Officer

Nerd Herd Education

Chief Nerd and Founder

DeepLearning.AI

Instructor

ThinkQuick, LLC

Data engineering and architecture consulting.

Owner

Ternary Data

Ternary Data are veteran data engineers and “recovering data scientists” who have firsthand experience with the challenges of succeeding with data. We offer practical data engineering advice.

O'Reilly Media

Author

University of Utah

Adjunct Professor

Big Squid, Inc.

* Consulted with Big Squid clients and sales prospects about how to implement and leverage data science and machine learning within their organization.
* Built and implemented data science curriculum and training for Big Squid's sales and consulting team.
* Advised engineering and product team on data science best practices, infrastructure, and algorithms.
* Engineered data science and predictive analytics solutions for clients.
* Certified Domo technical consultant.

Director of Predictive Analytics

Teem

* Built Teem's (formerly Eventboard, now WeWork) analytics and data platform from the ground up. The insights and data help optimize and empower the workplaces of many smart companies including Uber, LinkedIn, Netflix, Dropbox, Airbnb, Palantir, Pinterest, Twitter, etc, etc, etc.
* Built and managed a team of nearly a dozen brilliant engineers and data scientists.
* Oversaw all data science and data engineering initiatives.

Lead engineer - Analytics and Data Science

JobDash

* Refactored front end of application from Django into Angular
* Enhanced company's analytics capabilities via internal BI 
* Core technologies used: Django, Python, Angular

Software Engineer

Pure Predictive

* Worked on Pure Predictive, a cutting edge machine learning application. Focused heavily on solving the fundamental problem in which data scientists spending 80%+ of their time on preprocessing and munging data, and only a fraction of their time on analysis. 

* Core development and invention of automated data preprocessing and feature selection tools to transform data into machine readable format. End result: reduced the time spent on data science pre-processing and data munging from 20+ hours to around 1 minute.

* Project lead of a team consisting of top notch data scientists, senior software engineers, and Math PhDs.

* Heavily involved in machine learning.

* Technologies used: Python, Java, Hadoop, AWS, Unix

Best-Selling Author | Data Engineer and Architect | Recovering Data Scientist ™ | Global Keynote Speaker | Professor | Podcaster & Content Creator

Best Selling Co-author of Fundamentals of Data Engineering (O'Reilly 2022), Data Engineer and Architect, Recovering Data Scientist ™ , Speaker, Professor, Podcaster and Content creator. Check out the Monday Morning Data Chat for interviews with the top minds in data.

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