Projects: Gartner

Hackathon: Machine Learning

Keras
Keras

Gartner announced they were going to host a company-wide hackathon to be held in May of 2019. I proposed a machine learning proof-of-concept to address the low quality of the pros and cons featured on our new reviews page. While leading the project, I thought it was important that everyone be able to pursue whatever approach they saw fit to learn the skills they desired to learn.

In the end, we all mostly got results of one kind or another. We learned a few things along the way. And everyone lost to the team we all knew we would lose to. We went on to implement our solution on the live site.

Product Collation

Product Filtering/Sorting
Product Filtering/Sorting

I created an object-oriented solution that also took advantage of some functional programming practices. It is a black-box service that takes an industry, all of it’s products, and a store as initial arguments. Filtering and sorting actions taken by the user trigger internal methods that act on the data and update the store.

Development of these features took a few weeks. We took the next few months to iron out bugs, uncommunicated or forgotten business logic, and other edge cases that we wanted to address.