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Sales Data

Provo, UT
September 05, 2019

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Nathan Baker 801-***-****


Brigham Young University August 2019

Applied and Computational Mathematics Emphasis (ACME) A Mathematics centric study focusing on statistics and computer science Emphasis: Computer Science

Relevant Course Work

• Data Structures and Algorithms

• Dynamics, and Control Modeling

• Differential Equations

• Advanced Statistics and Probability

• Expectation Maximization

•Algorithm Theory and Optimization

• Kalman Filter

• Hidden Markov Models

• Deep Neural Networks

• Random Forests, XGB

• Python, Java, C++, Perl

• Gaussian Mixture Models

• Bayesian Statistics

• Control Theory

• Optimal Control

• Pyspark, SQL, Hive


• Facial recognition program in Python.

• Speech recognition program in Python using Forests, Neural Networks, and other classifiers.

• Boundary Value Problem solver in Python.

• Android app and server involving Google Maps, searching functionality, and filtering in Java.

• Sound filter using Fourier transforms, filtering, and convolution in Python.

• Image compressor using wavelets in Python.

• Word generator in Python using Markov Chains.

• ACM competitions.


Data Analyst Intern October 2018 – Current

Neustar, Inc.

• Find and resolve data issues and implement short and long-term preventative solutions.

• Build and improve on existing processes to ensure data quality.

• Build web crawlers to acquire new data.

Purchasing Analyst June 2017 – March 2018

Clegg Auto Sales

• Developed a program in Python to analyze data trends of car sales in auctions nationwide.

• Suggested new sales plan using program which increased sales by 12 percent.

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