Data Science

Ming(Mia) Gong

New York, NY ****.****@********.*** linkedin.com/in/mg724 +1-646-***-****

EDUCATION

Columbia University, Graduate School of Arts and Sciences New York, NY M.A., Quantitative Methods in the Social Sciences,Data Science Track, GPA:3.7/4.0 Expected: December 2020 University of Colorado at Denver Denver, Colorado

B.A. in Economics with honors, Summa Cum Laude, Minor in Communication, GPA: 3.9/4.0 2015-2019 The University of Hong Kong Summer School 2017

Peking University Summer School 2017

SKILLS

Programming: Python, R, SQL, Stata, Tableau, Power BI, Adobe Pr/Ps/Id/Ai Analysis skills: Machine learning, Deep learning, text analysis, NLP, Unix/Linux, Modern Data Structure, etc. PROFESSIONAL EXPERIENCE

IBM Data Analysis Intern New York, NY Sep. 2019-Dec. 2019

• Performed text analysis (corpus, sentiment analysis, TF-IDF) and Machine Learning algorithms such as Multinomial Naïve Bayes, Logistic, Random Forest, Xgboost, and LSTM to analyze IBM complaints data (over 1M rows)

• Tested and tuned model using GridSearchCV; Visualized data and model output in Tableau and Power BI

• Created a system to assign complaints to specific division to review, which improved current work efficiency over 80% United Nations Data Science Consultant New York, NY Feb. 2020-Present Project1- UNDP Regional Bureau Africa Funding Distribution Pipeline

• Manipulated data with Python and visualized results by building actionable dashboards

• Dashboards were based on the annual financial insights reports for 54 countries in Africa

• Established Auto-Regressive Integrated Moving Average model to predict future funding, pipeline, and delivery rate

• The Project has increased the decision making efficiency on the funding distribution pipeline for the next few years Project2- Covid-19 influence on Private Business Sector in Africa by the UN Capital Development Fund (UNCDF)

• Conducted data quality check as part of survey design to remove response from the same IP address and missing questions

• Analyzed survey data to identify most affected businesses with low government support across multiple dimensions, such as region, industry, size, and length of operation using data cleaning, text analysis, statistical modeling,etc.

• Guided local government on how to allocate resources efficiently among 1500+ local businesses influenced by Covid-19 Columbia University Research Assistant New York, NY Jul. 2020-Present

• Collecting over 50M COVID-19 tweets using API, uncovering the ways in which people frame COVID-19 online,conduction time-series analysis, which will be published on Russell Sage Foundation

• Conducting Social Network analysis of COVID-related tweets and explore relation communities and topic models, using Unix/Linux to run large scale dataset

PricewaterhouseCoopers(PwC) Financial & Risk Consulting Intern Beijing, China May. 2019-Aug. 2019

• Analyzed clients’ fund and asset models for drivers of cash flows to ensure accurate DCF assumptions

• Performed financial analysis and valuation through the balance sheet, cash flow statement, and income statement

• Summarized analysis, recalculations, and market research into client valuation memo deliverables UN South-South National Research Team Researcher Morogoro, Tanzania May. 2018-Dec. 2018

• Analyzed how South-South Cooperation changed economy, agriculture, education, and health situation in Tanzania. Analyzed data using Stata to optimize resource allocation for local issues(AIDS, low ED rates, and poor economic conditions)

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