Microsoft Office Computer Science

Nathan Knauf

** ******* ****** ******, ** *****

630-***-**** • *****.******@*****.***

EDUCATION

University of Illinois at Urbana-Champaign May 2017 Bachelor of Science in Physics with Minor in Applied Mathematics GPA: 3.23/4.00 Major GPA: 3.50/4.00

Dean’s List: Spring 2015, Spring 2016

Relevant coursework: Computer science for engineers, differential equations, linear algebra, calculus sequence, applied statistics, mathematical statistics, advanced data science, statistical physics, vector and tensor analysis

EXPERIENCE

Fermi National Accelerator Laboratory (Fermilab) Batavia, IL Intern, Computing Division July-August 2016

• Supervised team programming project for the analysis of cosmic ray data from Fermilab’s Quarknet website by devising goals and assigning tasks

• Designed and tested tools to read, transform, analyze, and visualize data while optimizing speed and utility using Python

• Conducted Python programming seminars for high school students coming from backgrounds underrepresented in STEM fields

Mathnasium Naperville, IL

Instructor and private tutor August 2017-Present

• Facilitate the education, academic support, and enrichment in mathematics for children of all grade levels while adapting for skill, interest, and learning style

• Provide one-on-one tutoring sessions for students studying more advanced topics at and beyond grade level

• Engage with students and parents to ensure every child’s needs and learning goals are well established

SKILLS

Computing: Proficient with: Python (including NumPy, Pandas, and Scikit-learn), Microsoft Office, OriginLab; Familiarity with: C, MATLAB, Microsoft Excel, SQL/NoSQL Mathematics: Calculus of several variables, mathematical statistics (including hypothesis testing and estimation), probability, ordinary and partial differential equations, linear algebra, introductory differential geometry

Other: Machine learning techniques for modeling, classification, and dimensionality reduction, numerical methods, analysis and technical writing (laboratory setting)

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