Data Analyst Visualization

Pham Thien Phung

+849******** # *************@*****.*** ï linkedin.com/pham-phung/ § github.com/PhungThien63f Education

Ho Chi Minh University of Science Ho Chi Minh, Vietnam Bachelor of Science in Data Science (CPA 3.2/4) Expected August 2024

• Relevant Coursework: Data Visualization (Python), Machine Learning (Python), Statistical Probability (R), Database

(SQL)

AI4E Center 10/2023 - 12/2023

Data Analyst

• Relevant: Overview of Big Data, Data Visualization, Google BigQuery, Statistical Probability, Excel Advanced, Tableau

Certificate

TOEFL ITP IIG Ho Chi Minh, Viet Nam

Score: 483/677

Experience

Indiez game company November 2023 – January 2024

Data Analyst Intern Ho Chi Minh, Viet Name

• Continuously monitored product live operations using built-in dashboards provided by platforms, and performed analysis on datasets to find valuable insights that directly improved product performance.

• Developed and executed plans for upcoming updates of the product, including actions and timelines, to ensure seamless product releases.

• Prepared weekly reports to the Board of Directors and line manager about the product status, highlighting key metrics, insights, and recommendations for improvement.

• Collaborated with cross-functional teams including product managers, engineers, and designers to ensure that product improvements aligned with business objectives and user needs.

• Conducted user research and A/B testing to identify opportunities for product optimization and growth, resulting in a 15% increase in user engagement and a 10% increase in retention rate. Personal Projects

BikeStores GitHub Project

• Generated simulated data for a bike shop and utilized queries to finalize the dataset, subsequently exporting it to a CSV.

• Built a dashboard with Tableau and Power BI to visually represent the data, extracting insights and assessing the shop’s revenue.

• Language: SQL.

• Tools: MySQL, Tableau, Power BI.

Travel Insurance Prediction GitHub Project

• Analyzed travel insurance data to uncover key trends and patterns.

• During the data processing phase, conducted thorough data analysis, feature engineering, and preprocessing to refine the dataset.

• Developed a predictive model within Jupyter Notebook to assess the likelihood of insurance claims.

• Language: Python.

Skills

Data Analysis: A/B testing, Python (Pandas, Numpy, Matplotlib, Searborn, Pyplot), SQL (Data Querying and Analysis, Window Function), R

Tools: Tableau, Power BI, Excel, Jupyter Notebook, Google Colab, MySQL Soft Skills: Self-Study, Communication, Planning, Problem-solving

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