Data Python
Resume:
Bud Coulson
Fair Lawn, NJ *****
B ***.*******@*****.***
gist.github.com/BudBCoulson
Professional Profile
Extensive experience developing and communicating mathematical algorithms and concepts. Practical knowledge of implementing algorithms using computer algebra systems including Maple and Mathematica, and programming languages including Python. Ability to work both collaboratively and independently on advanced research projects. Training in data analysis, machine learning, and optimization techniques.
Education
2010–2016 PhD in Mathematics, Rutgers University, Piscataway, NJ. Dissertation: An affine Weyl group interpretation of the “motivated proofs” of the Rogers-Ramanujan and Gordon-Andrews-Bressoud identities 2005–2009 BS in Mathematics, California Institute of Technology, Pasadena, CA, Graduated with honors.
Papers
A Motivated Proof of the Gollnitz-Gordon-Andrews Identities, The Ramanujan Journal 42 (2017), 97-129.
Joint with J. Lepowsky and others
Structure Constants for Kac-Moody Lie Algebras, In preparation. A Motivated Proof of the Overpartition Gordon-Andrews Identities, In preparation.
Work Experience
2016-2018 Teaching Instructor of Mathematics, Rutgers University, Piscataway, NJ. Taught courses in intermediate and advanced mathematics to undergraduates majoring in engineering, mathematics, and the sciences.
{ Taught students the methods and practice of various mathematical disciplines
{ Instructed on the basics of computer algebra systems such as Maple and MATLAB
{ Created projects emphasizing practical applications of mathematics to fields such as finance, mechanical and electrical engineering, and the hard sciences undergraduates 2009-2010 Quantitative Analyst, Susquehanna International Group, Bala Cynwyd, PA. Learned trading strategy development and applied derivatives pricing theory.
{ Studied the theory and practice of financial mathematics and markets trading
{ Performed maintenance and upkeep on trading systems Programming Experience
Extensive experience programming in Python and Maple Proven ability to apply data analysis techniques to real mathematical problems
(for example, searching spaces of infinite series as part of my doctoral research) Coursera Certification in Applied Data Science with Python (covering Data Representation, Machine Learning, Text Mining, and Network Analysis)
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