VO THI NGOC TRINH
DATA ANALYSIS PROJECT
EDUCATION
Bachelor of Arts - Business Administration
University of Sunderland
May 2017 - Aug 2021
POWER BI PROJECT - CONTOSO: Exploring Revenue Growth Opportunities in Asia during the 2007-2009 Economic Recession Methodology:
Analytical thinking using the Logic Tree method combined with the MECE principle. Descriptive Analytics Taxonomy and Diagnostics Analytics (EDA method). Data Visualization and Storytelling: creating Dashboards (DAR method), finding insights (BUS method), and data storytelling (ARC method).
Description:
ETL: importing data, cleaning data to the correct data (data type, null data, duplicated data, missing data).
Data modeling: star schema with dim and fact tables, relationship, cardinality (1-n and n-1). Data Visualization and Storytelling.
Analysis results: Contoso can identify opportunities to double its sales in the Asian market. Business Intelligence Program
Mastering Data Analytics
Feb 2024 - May 2024
Ho Chi Minh City • 097*-***-*** • ***********@*****.*** https://www.linkedin.com/in/vo-trinh-b5399b196/
SKILLS
Technical Skills
SQL.
Power BI.
Power Query.
Microsoft Excel, Microsoft Word,
Microsoft Powerpoint.
Sufficient command in English.
Soft Skills
Communication.
Self-motivation, independence.
Teamwork ability.
Leadership.
Time management.
Ability to work under high pressure.
WORK EXPERIENCE
PERSONAL PROJECT - OMG Project
Receiving booking requests for KOLs/KOCs and producing over 50 videos for 6 brands aiming to expand sales in the Thai markets.
Feb 2024 - Aug 2024
MARKETING PROJECT ASSISTANT - VELA Group
Received requests and coordinated (content, design, video, voice recording, translation services) for the marketing teams within the company.
May 2022 - Jun 2024
Jul 2024
SQL PROJECT - STATISTICS ON DRM KEY ISSUANCE
Methodology: Using Data manipulation language, Querying data, Joining, Aggregate functions, Date and time SQL Commands, Set Operations and Subqueries in SQL. Description: Importing data to database, and using SQL query commands to manipulate and analyze data in the database effectively.
Aug 2024
DATA MINING AND MACHINE LEARNING