Griffin Adams 6105 Spirit Street • Pittsburgh, PA • 15206

(917) 822 – 3335 • gta@andrew.cmu.edu • GitHub • LinkedIn

EDUCATION Carnegie Mellon University Pittsburgh, PA Masters of Computational Data Science – Analytics Track May 2016—December 2017

Accelerated program to develop the machine learning, statistics, systems, and big data skills necessary to design, evaluate, and implement real world analytic software systems

Fall Courses: Machine Learning, Machine Learning with Large Datasets, Search Engines, and Literary Seminar in Data Science

Dartmouth College Hanover, NH Bachelor of Arts in Economics September 2010—June 2014

3.90/4.00 GPA with 5 Academic Citations in Economics, including Statistics & Econometrics Relevant Coursework: Intro to Programming & Computation, Object-Oriented Programming,

Probability, Statistics, Econometrics, Linear Algebra, Differential Equations, Multivariable Calculus

App Academy New York, NY Intensive Full-Stack Web Development Bootcamp (acceptance rate <5%) April 2015—August 2015

Wrote daily apps in Ruby, Rails, and JavaScript with a focus on best practices and code reviews

EXPERIENCE IBM Watson Austin, Texas Rapid Prototypes Software Developer September 2015—July 2016 Created & consumed numerous RESTful applications showcasing Watson’s cognitive APIs Architected a scalable JSON contract between the Dialog API and a client-side Virtual Agent Built the Node REST API responsible for facilitating conversation between the Virtual Agent and

Watson, integrating with third party customer APIs, and logging interaction (meta)data Created a custom scalable front-end MVC framework built on Redux (M) and Backbone (VC) Deutsche Bank New York, NY Markets Analyst July 2014—April 2015 Automated analysis of stock buckets by writing a Leibniz-inspired sorting algorithm in R

PROJECTS Malloc (C) | Private repo (available upon request) July 2016—August 2016

Explicit Dynamic Memory Allocator inspired by the C library package Implemented segregated free lists, a hybrid free block search algorithm, immediate coalescing, and ‘free

bit’ data storage to optimize the internal versus external fragmentation tradeoff

CashCow (Ruby on Rails, Backbone, JavaScript) | GitHub July 2015—August 2015 Crowdfunding website inspired by Kickstarter Created a single page Backbone app that allows user to create, follow, and fund projects Engineered Custom SQL queries to load all user-project associations in a single AJAX request Featured Twitter OmniAuth, custom user authentication with BCrypt, image upload to Amazon S3, etc.

Active Record Lite (Ruby, SQL) | GitHub June 2015—July 2015 Server-Side Framework inspired by the functionality of Rails’ Active Record Leveraged Ruby’s metaprogramming to create a base interface between Rails and SQL

Asteroids (JavaScript, HTML5 Canvas) | GitHub May 2015—June 2015 Browser version of the classic arcade game implemented in HTML5 Canvas Implemented shot recoil, velocity drag, Sprites, speed-sensitive exhaust plumes, and user acceleration Enhanced player experience with points, bonus lives, and increasingly challenging levels

SKILLS

General – Java, C, Python, Ruby, Q Back-end runtime – Node.js, Ruby on Rails Storage/Database – Amazon Web Services (S3 and EMR), SQL, NoSQL (IBM’s Cloudant) Front-end – JavaScript, Backbone.js, AngularJS, Redux, jQuery, jQuery UI, Google Maps APIs, jjjj

D3.js, CSS3, HTML5