Summary Of Qualifications
- Software and Tools: Advanced Microsoft Excel (VBAs + nested functions), R (Dplyr, Caret, Mass, GGplot, Tidyverse), Python (NumPy, Panda, Scikit-learn, Scipy, Statsmodel, Matplotlib, Seaborn), SQL (MySQL, PostgreSQL), SPSS, Stata, Google Analytics, Facebook Analytics, Tableau, PowerBI, Google Data Studio, Salesforce, ComScore, JIRA, & Asana
- Technical Skills: Data cleaning, data wrangling, data analytics, data visualization, statistical modeling, predictive analytics and machine learning
- Soft Skills: Communication, problem solving, project management, time management and cross-functional team collaboration
- Strong Knowledge Domain: digital marketing performance (SEM/SEO/Facebook Ads), customer segmentation, lead generation, customer journey optimization, web analytics, and content analysis
- Language: Fluent in Vietnamese and English
Professional Experience
Volvo Group, Greensboro, NC, USA
Product Strategy Co-op (Full-time)
January 2021 – Present
Wavemaker, Ho Chi Minh City, Vietnam
Digital Planner (Full-time)
July 2018 – June 2019
Penhall Technologies, Anaheim, CA, USA
Digital Marketing Analyst (Full-time)
May 2017 – June 2018
Digital Marketing Intern (Full-time)
January 2017 – May 2017
Beachbody LLC, Santa Monica, CA, USA
Database Marketing Intern (Full-time)
May 2016 – August 2016
Academic Projects
> Inventory Management Analysis– Analyzed 45,800 transactions and 680 SKUs to provide recommendations for fast-moving and slow-moving products
> Retail Transaction Analysis – Studied 200k+ records to determine “most-frequently-bought-together” items and proposed different ways to help retailer increase sales
> Deposit Subscription Project– Analyzed 40k records and developed multiple logistic regression and tree-based models to predict the number of deposit subscriptions for a banking institution. The goal was to develop most accurate prediction to maximize advertising spend on direct marketing effort.
> Health and Wellness Study – Performed K-means clustering via Python and built 3 regression models via SAS to identify target audience and provide go-to-market strategies and suitable marketing solutions.
> MovieNow Data Exploration – Extracted information from a PostgreSQL database of a movie rental company to provide support for business decisions
> Boston Crime Analysis – Conducted analysis across 2 million records and 17 variables to discover patterns in level of crimes across multiple districts in Boston by using R and Tableau
Boston Crime Visualization via Tableau
> Senior Honor Thesis at CSUF – Conducted a quantitative research ( from writing up survey questionnaire, collecting responses from Qualtrics, to analyzing information using SPSS) of 150+ data surveys addressing the extent to which college undergraduates monitor their social media for career-oriented purposes
Social Media Usage Among College Students
THE TRANSTITION 