About Me
I am a final-year Data Science student at the University of Economics Ho Chi Minh City (UEH), passionate about data analytics, machine learning, and process automation. Through hands-on projects, I have developed skills in deriving insights from data and building intelligent systems that support business decision-making. I am highly adaptable, detail-oriented, and eager to contribute to impactful data-driven projects.
Technical Skills
- Data Analytics: Excel (PivotTable, VLOOKUP), SQL, Python (Pandas, NumPy, Matplotlib, Seaborn)
- Data Visualization: Power BI, Canva, Google Data Studio
- Machine Learning: Scikit-learn, SVM, ANN, Random Forest, XGBoost
- Automation Tools: n8n, Google Apps Script, Notion API, Gmail API
- Web & Tools: HTML/CSS, Notion, Google Workspace, Git, VSCode
Highlighted Projects
- Sales Performance Dashboard (Power BI): Designed a dynamic dashboard to analyze sales by region, product category, store size, and performance KPIs. Found that Tier-3 regions and medium-sized stores consistently outperformed others.
- Recruitment Workflow Automation (n8n): Built a no-code automation system using n8n to collect CVs via Google Forms, send auto-replies via Gmail API, and organize candidate info in Notion. This reduced manual tracking by over 80%.
- Bank Loan Approval Prediction: Developed a machine learning model with 99% accuracy to predict loan approval outcomes based on applicant features such as income, education, and savings. Visualized feature importance for interpretability.
- Customer Segmentation Using Clustering: Used unsupervised learning to identify 4 customer segments with distinct behavior. Analysis guided targeted marketing strategies and campaign optimization.
- Amazon Review Sentiment Analysis: Built a text classification system to categorize 500K+ product reviews into positive and negative sentiment using TF-IDF and machine learning models (SVM, Logistic Regression, ANN). Evaluated performance using F1-score, precision, and recall.
- Stock Price Trend Forecasting: Applied multiple ML models (XGBoost, SVM, ANN) to predict stock price movements by combining historical price data with fundamental indicators. Achieved over 85% accuracy on validation data.
Education & Certifications
- Bachelor of Data Science – UEH, GPA: 3.62/4 (2021–2025)
- Double Major in Financial Mathematics – UEH, GPA: 3.20/4 (2022–2025)
- Google Data Analytics Certificate – Coursera
- TOEIC: 700+ | IELTS (Expected): 6.5
Community Involvement
- Green Summer Campaign 2022: Conducted 5 training sessions for over 100 rural youth, teaching digital tools such as Google Docs and Canva. Improved public speaking and community facilitation skills.
Interested in collaborating or hiring me?
Get in Touch