I helped teach a graduate Regression Analysis course (ISYE 6414) that covered ... well, regression: linear, multiple linear, logistic, poisson ... the list goes on. The class is awesome, and I’ll probably help teach it again this summer.

Associate Instructor, Regression Analysis

<p>I&#x27;ve been the lead developer of our Rails monolith, which now has a dedicated API for our mobile client. I&#x27;ve worked about daily in Rails for last 8 years. I&#x27;m pretty familiar with all the technologies (Heroku, Devise, Pundit, Hotwire (Stimulus / Drive / Streams) you referenced.</p>

CTO / Lead Developer

9+ years architecting, coding and deploying full-stack Ruby on Rails applications. I began in Rails 3. If you have a new project and want to get it deployed, I’m your guy. I can show you how to monitor performance, write just enough tests, and otherwise get you on your way to scaling your Ruby on Rails app or API to tens of thousands of users on a pretty low budget.

I’ve upgraded applications from Rails 4 to Rails 7, from PostgreSQL 11 to 14, and countless gems from one major version to another.

If you need help in a pinch — I’ve been writing vanilla JS for years. I spent a few years in React, and I’ve fought with Webpack many times.

My experience with Python is all via data science (machine learning), mostly from the MS in Analytics from Georgia Tech, where I was a TA for a graduate Linear Regression course (linear regression actually includes multiple linear regression; logistic regression and other ... not obviously linear things).

My MS specialization is in Computational Data Analytics, the track that "explores a deeper understanding of big data—including how to acquire, preprocess, store, manage, analyze, and visualize large datasets."

If you need help in Pytorch, TensorFlow, pandas or numpy, I might be your guy.

Ruby on Rails + Data Science; Tutoring background + EdTech

Dan Brown

Rails API (hosted on Heroku) working with an iOS (Swift) client. There’s an admin site that’s fullstack Rails (using Hotwire a bit). This all came out of internal consulting software that began as a Rails monolith. Eventually I forked the project and built the API when we launched the mobile app (originally React Native; now just an iOS app in Swift).

Wend

Interdisciplinary: data science (applied statistics, mostly) + computer science + a couple business/MBA-esque courses.

Focus has been mostly Python with some R.

I was a teacher assistant for Regression Analysis.

My MS thesis was in applied statistics: I assembled a 300+ sample of ~70 items using a Ruby on Rails survey site I built for the thesis (Qualtrics wasn’t very good at the time). Then I ran an exploratory factor analysis in R to identify a latent factor solution (in this case, a psychometric scale).

Personal details

Dan B.

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