cv

Master of Science in Data Science

• GPA: 4.30/5.0 (Distinction)
• Relevant Coursework: Machine Learning, Deep Learning, Data Mining, Network Science, Data Systems, Data Visualization, Data Preparation, Probability & Statistics.

Bachelor of Finance, Advanced Program

• GPA: 3.71/4.0 (Highest Distinction)
• Relevant Coursework: Statistics, Econometrics, Calculus, Management Information Systems.
• Full English curriculum from CSU Long Beach, USA.

High School Diploma, Specialized in English

• Coursework: Academic Writing, English Speaking.

Research Intern (AI)

• Supervisors: Assoc. Prof. Shang-wei Lin and Dr. Yon Shin Teo.
• Research project: Vision-language models for flowchart understanding.
• Submitted a Invention Disclosure on a new VLM-based system.

Research Assistant (Data)

• Supervisor: Asst. Prof. Siddharth Natarajan.
• Collected, preprocessed and managed financial data using Python and Stata.
• Developed web crawling script to detect e-commerce sites.

• Vingroup Graduate Scholarship for NTU Master's Program (full-ride)

• National Economics University Merit Scholarship (2020 Spring Semester)

• National Economics University Merit Scholarship (2019 Spring Semester)

• 2nd Prize in English, Vietnam's National Competition for Gifted Students

• 3rd Prize in English, Vietnam's National Competition for Gifted Students
• Silver Medal in English, Competition for Gifted Students in Coastal Region and Northern Delta, Vietnam

• Bronze Medal in English, Competition for Gifted Students in Coastal Region and Northern Delta, Vietnam

Data Analyst

• Machine Learning
  • Applied machine learning models (CatBoost, Random Forest) for predicting customer attributes (e.g., income), interests (e.g., vouchers, tickets), and behavior (e.g., real estate purchases).
  • Conducted exploratory data analysis and feature engineering on large-scale datasets. Performed hyper-parameter tuning (GridSearchCV, RandomSearchCV) to improve model performance.
• Data Engineering
  • Designed dimensional models for domain-specific data marts.
  • Developed, optimized, and maintained ELT pipelines (dbt, Airflow) for downstream dashboards and analytical reports.
  • Designed and implemented simple data quality checking system (Python, SQL); significantly reducing manual effort in monitoring housing transactions data.
• Business Intelligence
  • Conducted in-depth visual and statistical analyses to uncover trends and patterns in supermarket transactions, real estate purchases, in-app and website behavior, and customer profiles.
  • Provided data-driven insights into customer segments to inform retention and acquisition strategies.
  • Designed and developed visualizations (Tableau, Power BI) for centralized dashboard platforms used by C-suite executives and department leads.

Teaching Assistant (Data Analytics)

• Courses: Introductory SQL, Python, Power BI

Instructor (Data Analytics)

• Courses: Introductory SQL
• Training sessions: Statistics, Applied Machine Learning, Dimensional Data Modeling

Teaching Assistant (IELTS)

• Courses: Speaking, Listening, Reading, Writing

GMAT Focus: 655

• Q: 80, V: 87, DI: 80 | 93rd Percentile

IELTS: 8.0

• L: 9.0, R: 8.0, W: 7.0, S: 7.5