💼 MS in Business Analytics & Project Management @ University of Connecticut
📊 Former PwC Vietnam Tax Advisor
📍 Interested in Data Analytics • Machine Learning • Financial Analytics
I'm a Master's student in Business Analytics and Project Management at UConn with a background in accounting, tax advisory, and M&A due diligence at PwC Vietnam.
My interests focus on bridging finance and analytics through machine learning, predictive modeling, business intelligence, and data-driven decision making. I enjoy building projects that combine technical analytics with real business problems across finance, healthcare, and forecasting.
Currently, I’m exploring:
- Predictive analytics & machine learning
- Time-series forecasting
- Business intelligence & visualization
- Financial & risk analytics
- Predictive modeling & classification
- Regression analysis & statistical testing
- Time-series forecasting (ARIMA, AutoARIMA)
- Feature engineering & model evaluation
- Model interpretation & business insights
- Python • R • SQL • C#
- Pandas • NumPy • Scikit-learn • Statsmodels
- Power BI • Tableau • Excel • Alteryx
- SQLite • Jupyter Notebook • GitHub
- Financial data analysis
- KPI dashboards & reporting
- Process optimization
- Business intelligence & decision support
- Risk & performance analysis
Machine learning project using CDC health indicators dataset to predict diabetes risk through classification models and feature engineering.
Tools: Python, Scikit-learn, Pandas, SMOTE
Time-series forecasting project focused on predicting weekly NASDAQ stock prices using ARIMA and AutoARIMA models.
Tools: Python, yFinance, Statsmodels, pmdarima
Database design, SQL analytics, and ERD modeling project using the Olist e-commerce dataset.
Tools: SQL, SQLite, Database Modeling, Excel
- 💼 LinkedIn: https://www.linkedin.com/in/qtracie/
- 📚 Medium: https://medium.com/@qtracie
⭐ Always interested in analytics, AI, finance, and meaningful real-world projects.