My Work
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Here's a smattering of my latest projects. I'm constantly improving them, and the list grows all the time, so check back later, and have a gander at my Github.
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Sparkathon 2018The project: Every year my company holds an internal 48 hour hackathon. This year I assisted a four person team in building an analytics application that utilizes data from natural language processing. It allows our clients, primarily contact centers, to create rules for categorizing conversations based on linguistic features. We won second runner-up in our division.
Our product manager said that, "this was a really impressive achievement for the time frame. We've been wanting to put some functionality in the product that : 1) Showcases the sophistication of our linguistic analysis compared to other solutions, and 2) Creates an easy and simple to understand workflow for customers to use to both find issues occurring in data and to categorize that data. This accomplishes both in a really simple and elegant way. Amazing job!" What I learned: This project grew my D3 skills, helped me understand linguistic computation better, and demonstrated that I could work with a team under pressure. I primarily handled the frontend, which included a responsive bubble chart. |
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HousebnbThe project: This clone of Airbnb is a work in progress that two other devs and I are working on. The frontend is in React, and the backend is in Node.js. We utilize Redux, Axios, Express, and Massive. Our database is hosted on ElephantSQL
What I'm learning: So far I've set up the database and filled it with realistic user data. As the project progresses I'll also be responsible for helping refine some of the stylings and getting the project hosted. We expect to finish in late April. |
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My Family StoryThe project: A site for a graphic designer that allows her clients to order a personalized coloring book. This required a special project builder app, among other functionalities. The site uses the full MEAN stack and was built by a team of 4 developers. The client asked us to remove the code from Github and eventually took the site down, but it was still educational, enjoyable work.
What I learned: I was lead backend dev on this project, so I set up our MongoDB and helped create our schemas and endpoints. I also helped create responsive stylings, among other roles. Our workflow was organized via Trello and Github, and the team pair programmed for parts of the project. |
Twitter PersonalitiesThe project: I "translated" a Python tutorial project into Node and added a graphic user interface. It uses the Watson Personality Insights and Twitter APIs to compare two individuals' personalities in the form of their Twitter feeds. The front end is in Angular.
What I learned: As well as additional experience working with RESTful API's, this project gave me a chance to use some built-in Angular directives such as ng-if, ng-click, ng-class, and others. Hosting with Heroku was a new experience on this one. Github |
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Museum ExhibitThe project: My first full-stack app. The site is built around a fictional museum exhibit and includes a store. The tech on this includes PostgreSQL, Angular, Node, Stripe, and Auth0. I also integrated a Google Map to show the location of the "museum".
What I learned: How to create an app from front-end to database. This was a major labor of love. |
Globetrot!The project: This was a weekend project that utilized the REST countries API. It is a playful but educational app that fetches and displays information about a random country when the user clicks a button. The animations make it more fun. :) Github
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