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Data Analysis

Charlotte, North Carolina, United States
January 09, 2019

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Jiawei Ma

**** ***** **. *** **** • Charlotte, NC • 28262 Cell: (910) 476- 2287 • EDUCATION

The University of North Carolina at Charlotte Charlotte, NC Master Data Science and Business Analytic 08/2017 – 12/2018 GPA: 3.8

• Visual Analytics, Database Systems, Knowledge Discovery in Databases, Advanced Business Analytics, Applied Machine Learning.

The University of North Carolina at Charlotte Charlotte, NC Bachelor of Science, Finance Minor: Mathematics, Economy 08/2015 – 05/2017 GPA: 3.75

• Financial Management, Money and Banking, Investments, Real Estate Finance, Prob & Stat for Engineers The University of North Carolina at Pembroke Pembroke, NC Bachelor of Science, Finance 08/2013 – 05/2015

GPA: 3.8


Value Innovation Technologies Charlotte, NC

Data Scientist Intern 09/2018 – 12/2018

• Gathering, extracting, and managing data for use in training and validating machine learning algorithms.

• Data management including processing, cleaning, and verifying integrity of data used for training and analysis.

• Develop enterprise cost reduction models in Python to enhance client understandings of operational efficiencies and profitability; effectively recommended ~$4M cost savings.

• Conduct data reconciliation and data cleansing for Walmart Inc. operations data to support order transactions

• Utilized Python effectively and efficiently to normalize 1 million+ rows of data to enable client data mining and data analysis.

• Collaborate and coordinate among 5 team members to plan and prioritize weekly tasks and activities.

• Collaborate among a team of 3 to manage data feed for eLink Gateway to support daily client operations. CangZhou Bank Tangshan, Hebei, China

Risk Management Intern 07/2016 – 09/2016

• Managed loan originations process by utilizing risk models to effectively evaluate applicants’ probability of default and rate of return.

• Conducted industry analysis in Python on overall loan portfolio level and individual scorecard level to provide recommendations for loan portfolios.

• Collaborated with a team of 6 and presented an analysis to senior executives to provide findings and recommendations for Tangshan-branch-specific loan portfolio.

• Performed scenario testing reports to evaluate economic impacts on specific portfolios and presented to executives on a weekly basis.

• Awarded “intern of the summary” for performing above and beyond expectations. SKILLS


• Python (Pandas, Scikit-learn, TensorFlow, Matplotlib, Seaborn, Jupyter notebook, Scipy, Numpy), R and RStudio, MySQL, Tableau, PowerBI, SAS Enterprise, Stata, Web Scraping. Machine Learning:

• Supervised learning, Unsupervised learning, Feature Engineering, Text Analytics, Text classification and Neural networks.


• Team leader for Teradata Analytics Universe Data Challenge Project and got Honorable Mention. (Awarded a badge that is issued by Teradata on LinkedIn). And invited to the Teradata Universe 2018 conferences.

• Pump it Up: Data Mining the Water Table competition from DRIVENDATA, currently rank the 1st. (Team of four).

• McKinsey Analytics Online Hackathon, top 15%.

• Hackathon Charlotte, helping people on affordable houses in Charlotte.

• Helping nonprofit organizations to analyze data.

• University of North Carolina at Pembroke billiard team from 2013-2015.

• Qualified for national billiard tournament for college students.

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