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eric goodman .pdf


Original filename: eric_goodman.pdf
Title: Eric Goodman Resume
Author: Eric Goodman

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(978) 353 9007
ericgoodman@wustl.edu

ericgoodman.me
github.com/goods37

ERIC GOODMAN
EDUCATION
Washington University in St. Louis
Bachelor of Science in Computer Science



Saint Louis, MO
Expected May 2018

GPA: 3.72 / 4.0
Kappa Sigma Fraternity

PROFESSIONAL EXPERIENCE
Loom Systems
Software Engineering Intern


Details forthcoming

Prattle Analytics
Software Engineering Intern







San Francisco, CA
Summer 2015

Wrote a Python script enabling automatic generation of loan sale files to easily create loan pools for various
investor specifications (e.g. credit score, geography, income characteristics)
Developed script that automated SoFi's loan cash flow forecast model, with various input parameters, used
in securitization and whole loan pricing as well as company’s audited financials
Built automated code behind company’s student loan refinance borrower savings calculation used on
website, in marketing materials and in regulatory disclosure

Washington University Department of Computer Science
Teaching Assistant


Saint Louis, MO
Summer 2016

Led a small team to develop a title detection engine in Python, now used in production by the company to
detect the titles of more than 36,800 documents
Wrote and presented spec for a latency simulator in PHP to test backend document detection system against
common HTTP protocol and runtime errors
Learned principles of cloud computing and systems architecture in order to migrate and optimize
company’s backend data models and transformation scripts to a new micro-ETL service architecture

SoFi (Social Finance)
Data Analytics Intern


Tel Aviv, Israel
Summer 2017

Saint Louis, MO
Fall 2015

One of a select group of students to assist professor in assignment correction and instruction for
Introduction to Computer Science (CSE 131)

SKILLS



Languages: Python, Java, C++, Swift, HTML, JavaScript, CSS, PHP, Mongo DB, MySQL
Frameworks/libraries: Flask, Node.js, Beautiful Soup, jQuery, Bootstrap, PyMongo

PROJECTS




Net Value: A Google Chrome extension that scrapes soccer player data from the web using Beautiful Soup
and a Flask API. Users can search for European soccer players and view data regarding their estimated
trade valuation, transfer history, and other basic information. Currently available on the Chrome Web
Store. Languages/frameworks: Python, Flask, HTML, JavaScript, jQuery, CSS, Bootstrap.
Pomotivation: iPhone application based on the popularized "Pomodoro" technique for increased
productivity. Uses a unique methodology for allocating time that users should spend taking a break from
their task. Languages/frameworks: Swift.


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