Resume

• 2015

  My personal website.

  Thistlethwaite

  Oliver

  San Bernardino Valley College

  RDC

  University of Tennessee

  University of California

  University of Tennessee

  University of Minnesota-Twin Cities

  Chaffey College

  Rancho Cucamonga

  Served as an instructor for Pre-algebra and Preparation for the Study of Algebra.

  Adjunct Mathematics Professor

  Chaffey College

  King of Prussia

  PA

  Data Scientist 3

  RDC

  Riverside

  CA

  Served as an instructor for Intro to College Math for Science and the preparation course for the\ntopology PhD qualifying exam.\n\nHad experience as a teaching assistant for: Intro to College Math

  First Year Calculus I-III

  Liberal Arts Math

  Intro to Ordinary Differential Equations

  Intro to College Math for Science I-II

  Calculus of Several Variables I-II

  Calculus for Business

  and Undergraduate Topology.

  Teaching Assistant

  University of California

  King of Prussia PA

  Data Scientist

  RDC

  Greater Minneapolis-St. Paul Area

  Was one of seven people admitted to a highly selective program at the Institute for Mathematics\nand its Applications designed to prepare recent postdoctoral mathematicians for careers in data\nscience. Completed a project from Corning Inc which involved model building in R and Python\nwith the goal of predicting glass liquidus temperature. Also contributed towards a project from a\nconsulting firm whose purpose was to study government data on marijuana usage.

  IMA Data Science Fellow

  University of Minnesota-Twin Cities

  Taught Elementary Algebra

  .Intermediate Algebra

  and Arithmetic.

  San Bernardino Valley College

  University of Tennessee

  Knoxville

  Tennessee

  Had experience as an instructor for Calculus 1 and Calculus 3. Also led recitation sections for Calculus 2 and Calculus 3.

  Mathematics Lecturer

  Knoxville

  Tennessee

  Developed C++ and Mathematica code to analyze large data sets

  which may be useful in solving the P / NP problem in computer science. Also wrote C++ code to perform matrix computations on very large sparse matrices.

  Graduate Student Researcher

  University of Tennessee

  English

  Yueh-er

  Hong-tsu and Clarence Cheng Kuo Fellowship Endowment

  Award given to the top two master’s students in mathematics.

  University of Tennessee

  Knoxville

  Deans Distinguished Fellowship

  Award given to outstanding first and second year graduate students.

  University of California

  Riverside

  Programming Competitions

  256th out of 5280 participants in World CodeSprint 6\n92nd out of 3218 participants in BlackRock CodeSprint\n117th out of 2985 participants in Moody’s Analytics Hackathon\n112th out of 1931 participants in Stryker CodeSprint

  HackerRank

  OpenBracket Top Finalist

  Was a top finalist out of thousands of participants and won an all expense paid trip to compete in the championship in Wilmington

  Delaware.

  OpenBracket Programming Competition

  OpenBracket Top Finalist

  Was a top finalist out of thousands of participants and competed in the single-elimination championship tournament in Wilmington

  Delaware. Made it to the semi-final round and placed in the top 25.

  OpenBracket Programming Competition

• 2008

  Doctor of Philosophy (PhD)

  Mathematics

  University of California

  Riverside

• 2005

  Master of Science (MS)

  Mathematics

  University of Tennessee-Knoxville

  Bachelor of Science (BS)

  Mathematics and Computer Science

  Phi Eta Sigma Honor Society

  National Honor Society of Collegiate Scholars

  University of Tennessee-Knoxville

  Numerical Analysis

  Complex Analysis

  Probability and Statistics

  Real Analysis

  Linear Algebra

  Network Programming

  Theory of Computation

  Differential Geometry

  Combinatorics

  Knot Theory

  Hyperbolic Geometry

  Algebraic Geometry

  Systems Programming

  Algebraic Topology

  Computer Organization

  Data Structures

  Abstract Algebra

  GUI Programming

  Lie Algebras

  Software Engineering

  The Data Scientist’s Toolbox

  U46HFJDSMBEC

  Coursera Course Certificates

  HTML

  CSS and JavaScript

  VA7B92DZME7P

  Coursera Course Certificates

  R Programming

  9KSA7E655GZZ

  Coursera Course Certificates

  Ruby on Rails: An Introduction

  S6SDDV2ESGZC

  Coursera Course Certificates

  Introduction to Data Science in Python

  MZF7MLSEBNEM

  Coursera Course Certificates

  Applied Machine Learning in Python

  97YEFNTMVHT4

  Coursera Course Certificates

  Front-End Web UI Frameworks and Tools

  AX2VB8WTBSYN

  Coursera Course Certificates

  Applied Plotting

  Charting & Data Representation in Python

  SX7YY7DQZMJP

  Coursera Course Certificates

  Neural Networks and Deep Learning

  JRL4VJFS9KYE

  Coursera Course Certificates

  Cryptography I (with distinction)

  Coursera Course Certificates

  Applied Text Mining in Python

  8DVRCH9ZRFCL

  Coursera Course Certificates

• Volunteered at a local middle school tutoring students to prepare them for the regional AMC mathematics competition.

  American Mathematics Competition

  Advisor for the UCR Math Undergraduate Research Project on Computer Vision

  Computer vision can be described simply as using algorithms to extract information from pictures. Our goal this quarter will be to extract many pictures from a short video

  and answer questions about the video. Is it a continuous shot? How many light sources are there? Are there distinct moving objects? These are just some of the many questions we could ask about a video. Answering these questions calls upon a wide set of tools from linear algebra to the fourier transform.\n\nOur project involved using the fundamental tools of image analysis to construct algorithms to work towards answering the above questions.

  University of California

  Riverside

  Machine Learning

  Python

  C#

  Data Science

  R

  SQL

  Statistics

  Mathematics

  JavaScript

  Spark

  Research

  Web Development

  Ruby

  Data Analysis

  Java

  Mathematics Education

  C

  Tensor Flow

  Programming

  C++

  Boolean formulae

  hypergraphs and combinatorial topology

  With a view toward studying the homotopy type of spaces of Boolean formulae

  we introduce a simplicial complex

  called the theta complex

  associated to any hypergraph

  which is the Alexander dual of the more well-known independence complex. In particular

  the set of satisfiable formulae in k-conjunctive normal form with less than or equal to n variables has the homotopy type of Theta(Cube(n

  n-k))

  where Cube(n

  n-k) is a hypergraph associated to the (n-k)-skeleton of an n-cube. We make partial progress in calculating the homotopy type of theta for these cubical hypergraphs

  and we also give calculations and examples for other hypergraphs as well. Indeed studying the theta complex of hypergraphs is an interesting problem in its own right.

  Boolean formulae

  hypergraphs and combinatorial topology

  Since their introduction in 1994

  the Seiberg-Witten invariants have become one of the main tools used in 4-manifold theory. In this thesis

  we will use these invariants to identify sufficient conditions for a 3-manifold to fibre over a circle. Additionally

  we will construct several examples of genus 1 and 2 surface bundles and prove their total spaces are spin 4-manifolds.

  Seiberg-Witten invariants

  Alexander polynomials

  and fibred classes

  It is the purpose of this thesis to introduce an idea for studying questions of computer science via topology. We begin by describing the homology of a certain space constructed from a given subset of the power set of any finite set. We then discuss how this relates to the k-SAT problem in computer science. We shall use computers as a tool to calculate the homology groups as well as the Euler characteristic of some of these spaces. Due to the sheer number of calculations needed

  doing the necessary computations by hand is both impractical and impossible.\nIn addition

  with inspiration from these results

  we will provide several rigorous mathematical proofs detailing certain properties of the spaces produced by some input sets.

  A study of the homology of spaces generated by subsets and the connection to the k-sat problem in computer science

  This website is a collection of Data Science projects.

  Github

  Contains samples of my programming.