Data Analyst, Python, SQL, Mathematics
Resume:
C O N T A C T
***********@*****.***
Ho Chi Minh City
Nguyen Gia Bao
UNIVERSITY OF
INFORMATION TECHNOLOGY
Bachelor of Computer Science
GPA: 3.2 / 4.0
E D U C A T I O N
S K I L L S
Python, SQL, BigQuery
Critical thinking
Mathematics
Good communication
MS Office
A/B Testing
Data Analyst
C A R E E R O B J E C T I V E S
As a passionate final-year student, I aim to leverage my analytical skills, data visualization abilities, and strong foundation in Python and SQL to contribute to data-driven decision-making in a dynamic organization. I am eager to grow as a Data Analyst by solving real-world business problems, optimizing customer experience, and delivering actionable insights that drive performance and innovation.
P E R S O N A L P R O J E C T S
E-commerce User Behavior Analysis
Python
Analyze user behavior on the e-commerce website through the steps View Cart Purchase, calculate conversion rates, and identify prominent users (those who purchase the most, those who only view without purchasing, etc.).
Visualize data using funnel charts and bar charts to describe customer behavior and purchase journeys.
Cluster users based on behavior (viewing, adding to cart, purchasing, total spending) to identify potential customer segments and propose improvements to the shopping experience. NGUYEN GIA BAO
Data Analyst
Meticulous
Responsible
Flexible
Dynamic
P E R S O N A L I T Y
Sales Performance Analysis
Spreadsheet
Analyzed sales revenue by region, product, and time using spreadsheet tools.
Utilized Pivot Tables and charts to identify top-performing regions, best-selling products, and monthly trends.
Presented insights through a clear and visual report to support business decision-making.
Customer Retention & Churn Analysis
Spreadsheet
Analyzed customer data to identify churn patterns and key factors influencing customer retention.
Built interactive dashboard to visualize churn rate by age, gender, region, and purchase behavior.
Delivered actionable insights and recommendations to improve customer loyalty and reduce churn rate.
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