VY NGUYEN

adwauc@r.postjobfree.com • 617-***-**** • Boston, MA • linkedin.com/in/vy-nguyen-phuong-thao/

EDUCATION

Boston University Boston, MA, USA Expected Dec 2023 B.S. in Data Science and Minor in Business Administration and Management GPA: 3.71 / 4.0 Relavant Courses: Data Structures & OOP, Modeling Business Decisions with Statistical Programming, AI & Machine Learning, Data Mechanics, Algorithms Analysis, Probability in Computing, Applied Statistics. Selected Awards: BostonHack Datathon: Computing 4 Goods, 3rd Prize. Vietnam National Mathematics Olympiad (VMO 2018), 3rd Prize. EXPERIENCES

VNPT (Vietnam Posts and Telecommunications Group) Hanoi, Vietnam Jun – Sep 2022 Data Science Intern in Project: Churn Prediction

• Preprocessed (data cleaning, transformation, reduction), visualized, analyzed, trained and tested from the dataset of 500,000 subscriptions, then validated and optimized model to best predict customer churn.

• Developed a predictive model using Deep Learning algorithm (Neural Network). BU Spark! Boston, MA Jun – Aug 2022

Data Science Intern

• Project: Migrant Misrepresentation - A Quantitative Analysis of Migration in the American Media o Extracted data from 8 biggest American news agencies. o Performed Sentiment and Entity Analysis with Google Cloud Platform and Natural Language API. o Constructed a Network graph with Python and produced reports about how migrants are portrayed in media.

• Project: USA Today - Secretary of State Candidate Speech o Ran and handled text analysis in real time in response to current events. o Processed, filtered, and organized data extracted from Facebook and Twitter posts. Sotatek Hanoi, Vietnam May – Jun 2022

Blockchain Intern in Project: Cardano ADA

• Implemented a metadata API to automate the process of interpreting assets with Spring RESTful Web service.

• Created a postman collection with example requests for each endpoint and scenario. VNPAY one of the largest financial tech companies in Vietnam Mar – Aug 2021 Product Development Engineer in Project: eKYC (Electronic Know Your Customer)

• Led data annotation task for AI Training process and tested cases to increase the accuracy of OCR and NLP services.

• Reviewed the backend that was integrated into systems of some state banks in Vietnam to detect fraud. PROJECTS

Uber & Lyft in New York City and Boston Sep – Dec 2022

• Built several predictive models with Machine Learning algorithms (Regressions, Naive Bayes, PCA, KNN, Decision Tree, Random Forest) to best estimate the number of daily Uber & Lyft trips and price per trip in NYC and Boston. Life Expectancy Prediction Feb – May 2022

• Modeled the United Nations diving into different macro-factors provided from World Health Organization (WHO) dataset for linear and multivariate regressions prediction of life expectancy.

• Optimized the model, reduced errors and avoided overfitting with Stepwise method and Lasso/Ridge regularization. Live Dashboard COVID-19 Spread Analysis Sep – Dec 2021

• The live dashboard of COVID-19 situation was hosted on an interactive website.

• Visualized COVID-19 data with Python libraries (Plotly, Pandas, and Dash) and coded front-end with HTML. LEADERSHIP & ACTIVITIES

Vice President BU Professional Communications Club May 2022 – Present Treasurer & Technical Member BU Data Science Association Sep 2022 – Present

• Make estimated budget and manage cash flow for each event. Invite professors and guest speakers to club workshops.

• Lead and counsel in some workshops, such as Scikit-learn, Convolutional Neural Network (CNN), or XGBoost. Academic Tutor Data Science Department

Oct 2022 – Present

• Instruct peers in some Data Science, Business Analytics, CS, Math & Statistics courses, including high-level ones. SKILLS

Programming Language: Python, R, SQL, Java, C/C++, HTML, CSS. Tools/Packages/Libraries: Microsoft Azure, Git, GitHub, Scikit-learn, NumPy, Pandas, Matplotlib, Seaborn, Pygame. Data Analysis Frameworks: Power BI, Tableau, SAS, JMP, PostgreSQL, Jupyter Notebook, Excel, Spreadsheet.

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