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Microsoft Office Project

Chicago, Illinois, United States
February 21, 2018

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Yanyi Mei

**** ******* ***, ***. ***, Evanston, IL 60202 – 217-***-**** – EDUCATION

Northwestern University, Evanston, IL

Robert R. McCormick School of Engineering and Applied Science Master of Science in Applied Mathematics Dec 2017

University of Illinois at Urbana-Champaign, Champaign, IL Master of Science in Applied Mathematics. May 2016 University of Illinois at Urbana-Champaign, Champaign, IL Bachelor of Science in Mathematics. Higher Distinction. Five semesters on Dean’s List. May 2014 SKILLS

• Computer: Proficient in Python, SQL, Microsoft Office, Matlab. Experienced in C++, Java, R, Object-C.

• Mathematical modeling. Machine learning methods including decision tree, k-NN, regression, neural network. Database management.

• Language: Native in Chinese, fluent in English.


University of Illinois at Urbana-Champaign:

Undergraduate Research Mentor, Illinois Geometry Lab Aug 2015 – Dec 2015

• Designed and prototyped simulations for exploring convergence and stability conditions of system of 3 coupled oscillators. Postulated theories that governs the model from simulation observations.

• Led research team by coordinating meetings with professors, delegating works, checking project progress, and examining consistency between theoretical and simulation results. University of Illinois at Urbana-Champaign:

Undergraduate Research Assistant Jan 2012 – May 2012

• Gathered over 200 GitHub projects that uses Akka, a parallel computing package. Identified, categorized functionality of the package in each project, and generated research report in statistical display to end users. COURSE PROJECTS

University of Illinois at Urbana-Champaign:

IPhone App Project Jan 2013 – May 2013

• Built an app that manages users’ group events in a collaborative 4-person environment with shared communication and leadership roles.

• Designed database structure for storing information in SQL.

• Improved the database structure for better efficiency, avoiding data conflicts and data injections. Northwestern University:

Numeric Analysis of Partial Differential Equations Sept 2017 – Jun 2017

• Implemented MacCormack, V-cycle and 6 other method for numerically solving partial differential equations for cross comparing the methods for two types of problems with different initial values and boundary conditions.

• Collected over 600 results from simulations, derived orders of running time and error for each method from the data. Verified that the analytic order estimations comply with the simulation results.

• Effectively interpreted research results in phase reports, which were presented to the professor and the class.

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