求职：帮朋友找份在上海关于机器学习的工作

朋友刚回国，还没写中文简历，老哥们凑活看下
有兴趣的话可以加我的微信，我推给朋友 wx：gebiwenshu

EDUCATION BACKGROUND
-------------------------------------------------------------------------------------------------------------------------------------
Columbia University New York, NY
M.S. in Operations Research Aug. 2018 - Dec. 2019
Courses include: Optimization, Simulation, Stochastic Models, Deep Learning, Reinforcement Learning,
Machine Learning, Introduction to Algorithms, Computational Discrete Optimization

Fudan University Shanghai, CN
Bachelor of Management Science Sep.2014 - Jun.2018
Courses include: Courses include: Operations Research, Optimization Methods

Bocconi University Milan, IT
Exchange Student Aug.2016 - Dec.2016
Courses include: Leadership, Financial Markets and Institutions

University of Texas at Austin Austin, TX
Global Business Leadership Institution, McCombs School of Business Jul.2016

PROFESSIONAL EXPERIENCE
-------------------------------------------------------------------------------------------------------------------------------------
Columbia University New York, NY
Course Assistant for Simulation Jan. 2019 - May. 2019

grading coding assignments in Python for both undergrads and graduates, gathering students’ frequently
made mistakes and proctoring exams

L’Oreal China Research & Innovation Center Shanghai, CN
Human Resources Intern Apr. 2017 - Oct. 2017

responsible for intern management, providing feedbacks and evaluation of candidates to m´etier hiring
managers based on telephone interview and handling the on-board and on-board processes

for experienced hires, updating job postings and screening CVs on multiple recruiting platforms,
cold-calling possible candidates collecting background info and scheduling interviews

assisting the recruitment manager with ad hoc tasks, including summer intern recruitment, management
trainee recruitment and internal job posting

RESEARCH PROJECT
-------------------------------------------------------------------------------------------------------------------------------------
Alzheimer’s Disease Diagnostics By Deep Residual Learning Oct. 2018 - Dec. 2018

employing 3D-ResNet with PyTorch in a high performance computing environment to develop a
model for diagnosing Alzheimer’s Disease (AD) from magnetic resonance imaging (MRI) results, and
classifying various states of AD progression process

Using a Reinforcement Learning Agent for Tra c Signal Control Dec.2017

leading the team with 3 classmates for this course projects, drafting initial proposal, assigning tasks
for group members and delivering the final presentation
developing a dynamic signal timing model for a single intersection to reduce delay in the system by
ensuring equi-saturation flow rates

SKILLS
-------------------------------------------------------------------------------------------------------------------------------------
Programming languages: Python, Java, Gurobi, LATEX