Resume

Sign in

analysis

Location:
Sunnyvale, California, United States
Posted:
April 06, 2018

Contact this candidate

Resume:

Jiaman Li

**** ******** **, *********, ** ***** 715-***-**** ac41w8@r.postjobfree.com

EDUCATION

Rutgers University-Newark, Newark, NJ

Master of Public Administration, Aug. 2016-May.2018

GPA: 3.958/4.0

Honors: SPAA Graduate Commitment to Service Scholarship

Activities: Teaching and Research Assistant at School of Public Affairs and Administration

Related Coursework: Public Policy Process, Applied Statistics, Applied Research Design

Minzu University of China (MUC), Beijing, China

B.A. in Public Administration, June 2016

GPA: 3.85/4.50

Honors: Professional Second-class Scholarship

Activities: Student Committee in School of Management, Minister

On-Campus No. 27 Magazine E-journal, Marketing Officer

University of Wisconsin-Stout, Menomonie, WI

Non-degree Exchange Program, Aug. 2015- May. 2016

GPA: 4.0/4.0

Honors: International Student Scholarship

Chancellor’s Award for Outstanding Academic Achievement

EXPERIENCE

Public Technology Institute, Washington, DC

Summer Research Intern, June 2017- July 2017

- Assisted by the Certified Government Digital Services Professional Certification Program

- Responsible for using online services, periodicals, publications, and other tools to do some research related to the area of digital services delivery

Rutgers University-Newark, Newark, NJ

Teaching Assistant for Economics, February 2017- May 2017, January 2018-Present

- Responsible for helping with grading, inputting and tracking grades

- Responsible for collecting and organizing assignment

- Held office hours to discuss problems students are having in class

Mazars Consulting (Shanghai) Co., Ltd, Beijing Branch, China

Administration Intern, June 2016- August 2016

- Assisted colleagues to receive phone calls and took notes

- Maintenance of HR system, and invited candidates to interview via phone calls

- Assisted in company activities, e.g. annual dinner, company travel, Happy Friday etc.

PROJECT

Credit Card Fraud Detection

- Identified fraud transactions with over 98% accuracy on hugely imbalanced (0.17%) transaction level data, using Synthetic Minority Over-Sampling Technique (SMOTE)

- Implemented machine learning approach including Logistic Regression and Random Forest

- Made Recommendations on designing an automatic fraud detection system with the build models

LANGUAGES Fluent in written and spoken Mandarin and English

Skills Programming language (R, Python, SQL, Stata)



Contact this candidate