Software Engineering Data Analysis

TRUONG ANH HI

037*******● ********.****@*****.***● District 7, Ho Chi Minh City

Education

TON DUC THANG UNIVERSITY

• Major: Software Engineering 9/2020 – Present

• GPA: 3/4

Objective

A Software Engineering student at Ton Duc Thang University with a foundation in data analysis. Seeking to leverage my technical skills and analytical mindset in a Data Analyst intern role where I can contribute to meaningful projects while further developing my expertise in data science and software engineering.

Project

Customer Retention Analysis and Prediction Jul 2024 – Aug 2024

• Conducted in-depth analysis of bank customer data to uncover key insights into behavior and risk factors affecting retention.

• Utilized Python (Pandas, Matplotlib, Seaborn) for data cleaning, segmentation, and visualization.

• Applied machine learning models to predict customer churn and provided actionable recommendations for improving retention strategies.

• Published the project on Github, showcasing data-driven insights and solutions. [Link to project] COVID-19 Data Analysis and Clustering Project Aug 2014

• Conducted extensive exploratory data analysis (EDA) on COVID-19 data to understand regional trends in confirmed cases, deaths, and recoveries.

• Performed data preprocessing, including handling missing values and standardizing data for analysis.

• Developed and implemented clustering algorithms (K-Means) to group regions based on their COVID- 19 statistics, providing insights into patterns and similarities among regions.

• Utilized Python and libraries like Pandas, Seaborn, Matplotlib, and Scikit-learn for data analysis and visualization.

• Presented findings through clear visualizations, enhancing understanding of the pandemic’s impact across different regions. [Link to project]

Data Analysis and Visualization Project Aug 2014

• Developed an interactive Tableau project consisting of 4 dashboards and 1 story, utilizing data from Sales, Product, and Customer datasets.

• Implemented advanced features such as dynamic filtering, parameter controls, and set actions to allow users to explore and interact with the data efficiently.

• Visualized key metrics including sales, profit, and customer segmentation across various dimensions such as time, geography, and product categories.

• Published the project on Tableau Public, enabling potential employers to interact with and explore the data-driven insights. [Link to project]

Skills

Programming Languages: Python, Java, SQL

Data Analysis Tools: Pandas, Matplotlib, Seaborn, Tableau Machine Learning: Scikit-learn, ML Algorithms

Version Control: Git, GitHub

Certifications

Business Intelligence Mastery with SQL and Tableau [2-in-1] Udemy 2024

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