Jacob R. Goffin
***********@*****.***
Profile:
Programmer/Analyst with strong academic qualifications and a keen interest in complex
data analysis in support of various decision tools (recommendation engines, advertising
platforms, business analytics, etc.). Persuasive verbal and written communications skills.
Technical Skills:
• Complex algorithm development (Python, Octave) with focus on machine learning
applications such as OCR. Knowledge of nearest neighbor search, artificial neural
networks, logistic regression and collaborative filtering.
• Relational database programming and analytics tools (SQL, Pig, AWS).
• High level scripting (Python) and basic systems knowledge (x86 Assembly)
• Object-oriented programming (Java)
Work/Research Experience:
August 2014 Decatur Industries Seattle, WA
Research of prior art in the field of optical recognition of conjunct fonts, in
support of a patent application related to an 'Automated License Plate
Verification and Identification' system.
January-September 2012 UBC Demonstration Lab Manager Vancouver, BC
In charge of preparing, repairing, and building demonstrations for use in
undergraduate physics courses at the University of British Columbia.
Developed a demonstration for a human capacitance measuring system.
Lab/Project Experience:
Web Billion Triples Data Set: Analyzed a 0.5Tb Graph using Pig on Amazon Web
Services.
MindSumo: Developed a Java program analyzing U.S. health care data for Cigna Health.
Wrote a Python application to group Dow Jones stocks according to similar
price behavior. A bottom-up clustering technique was used.
OCR tool: Implemented Machine Learning methods in Python/Octave to recognize
handwritten digits (0-9) from gray-scale images.
Physics: Measured the hyperfine structure of Rubidium atoms through the process of
optical pumping;
Built Python scripts to help automate plotting and analysis of experimental
results.
Education:
2009-2012 University of British Columbia, Vancouver Honors Physics, GPA: 3.70 (Dean’s
List)
2013-2014 University of Washington, Seattle Physics and Math, GPA: 3.65 (Dean’s
List)
Relevant coursework: CSE 417 Algorithms & Computational Complexity; CSE 415
Artificial Intelligence, CSE 414 Introduction to Databases; CSE 410 Computer Systems;
CSE 373 Data Structures, Math 407 Linear Optimization; Math 402-404 Modern Algebra;
Math 381 Discrete Mathematical Modeling, Machine Learning, Data Mining (Stanford
Coursera Courses)