Data Analyst

Charles Hagen

*** ******** ******, ***. *, Seattle, WA 98107

********@*****.*** 253-***-****

EDUCATION

WESTERNWASHINGTON

UNIVERSITY

MASTER OF SCIENCE (COMPUTER SCIENCE)

Sep 2016 - June 2017 Bellingham, WA

BACHELOR OF SCIENCE (COMPUTER SCIENCE)

Sep 2013 - June 2016 Bellingham, WA

Graduatedwith honors

Distinguished CS Graduate

COURSEWORK

GRADUATE

DataMining

AdvancedMachine Learning

Advanced AlgorithmAnalysis

Natural Language Processing

Parallel Processing

Advanced Artificial Intelligence

Automata & Formal Language Theory

Advanced Cryptography

UNDERGRADUATE

Database Systems

Probability & Statistical Inference

Mathematical Computing

Concurrent Programming

Multivariate Calculus &Geometry

Functional Programming

Computer Graphics

INTERESTS

DataMining &Analytics

Data Visualization

Machine Learning

Natural Language Processing

Artificial Intelligence & Intelligent Agents

Theoretical Computer Science

Mathematical Computing

EXPERIENCE

GRADUATE RESEARCHASSISTANT

WESTERNWASHINGTON UNIVERSITY

August 2016 – June 2017 Bellingham, WA

• Supported by Panasonic Avionics Corporation, Bothell, WA.

• Developed a bandwidth usage predictionmodule using a machine learning approach which is now used in production.

• Designed a systemof feature extraction and feature selection on a large, high-dimensional dataset.

• Developed and implemented customaccuracymetrics.

• Presentedweekly reports of statistical findings. PRIVATE TUTOR

September 2010 – June 2016 Bellingham, WA

• Tutoredmultiple students inmathematics and computer science at college and high school level.

• Developed coursework tailored for each student’s individual learning style and ability level.

• Acquiredmore pupils through word-of-mouth of satisfied past students. PROJECTS

• Developed and trained a HiddenMarkovModel in Python to predict part-of-speech tags.

• Designed, implemented, and deployed The Planetary Society’s internal organization history database in Ruby on Rails. Also provided a set of tools to extract and analyze trends and identify important contributors.

• Implemented a multinomial logistic regression classifier in Java with back-tracking line search functionality.

• Implemented a deep neural network in Java with functionality for an arbitrary number of hidden layers and nodes in each layer.

• Created a kernel from scratch for the BLITZ virtual machine emulator completewith a file system, multiprogramming, basic I/O, andmulti-threaded applications.

• Implemented an AES-128 encrypted peer-to-peer chat client in Python. TECHNICAL SKILLS

Proficient

Python • R • Tableau • Tensorflow•Matlab • SQL • Java • LATEX Familiar

C•NoSQL •WolframMathematica • Ruby on Rails •HTML/CSS

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