Business Analytics Graduate | Data-Driven Problem Solver
Welcome to my GitHub profile! I'm Trong-Tin Nguyen, a recent graduate in Business Analytics, eager to apply my skills in data analysis and visualization to solve real-world problems.
- 🌏 Location: City of Canterbury-Bankstown, NSW, Australia
- 🎓 Education:
- Master in Business Analytics, Victoria University (Graduated 2025)
- Bachelor of Business Administration, Nong Lam University (2019)
- 🔗 Webpage: Visit My Portfolio
- 📧 Email: tin.trongnguyen.dn@gmail.com
- 💼 LinkedIn: linkedin.com/in/trongtinnguyen
- 🛠️ GitHub: github.com/derkaiser9423
- Hypothesis testing: Null and alternative hypothesis formulation, p-value interpretation.
- Regression Analysis: Linear, logistic, polynomial regression.
- Correlation Analysis: Pearson, Spearman, Kendall rank.
- Time Series Analysis: ARIMA, exponential smoothing, seasonal decomposition.
- Clustering: K-means, hierarchical clustering.
- Parametric: T-test, ANOVA, ANCOVA, MANOVA, repeated measures ANOVA.
- Non-Parametric: Wilcoxon signed-rank, Mann-Whitney U, Kruskal-Wallis, Friedman, Chi-square goodness-of-fit, Kolmogorov-Smirnov test.
- Post-Hoc Analysis: Tukey HSD, Bonferroni correction.
- Descriptive Statistics: Central tendency, dispersion, skewness, kurtosis.
- Visualization Techniques: Histograms, boxplots, scatterplots, heatmaps, correlation matrices.
- Outlier Detection: IQR method, Z-scores, unsupervised and visual approaches.
- Data Cleaning and Transformation: Handling missing data, normalization, standardization, encoding categorical variables.
- Programming: Python (NumPy, pandas, SciPy, statsmodels, matplotlib, seaborn).
- Visualization: Tableau, MS PowerPoint, MS Excel, Canva.
- Statistical Platforms: SPSS, Excel.
- Basic proficiency in Scikit-learn and TensorFlow: Implementing simple supervised and unsupervised models.
- Academic Officer at Dong A University (2022): Managed student progress and coordinated academic schedules.
- Educational Coordinator at Nancy Educational Services (2019–2020): Provided customer care, marketing, and student management.
- Teaching Assistant at Ramat Negev Training Center (2019–2020): Assisted lectures and managed student activities.
- Customer Segmentation: Developed a K-means clustering model to identify customer groups for targeted marketing strategies.
- Survey Analysis Dashboard: Built interactive Tableau dashboards to present insights from survey data.
- Time Series Forecasting: Analyzed retail sales data to predict seasonal trends using ARIMA models.
Feel free to explore my repositories or reach out for collaborations and opportunities.