Trong-Tin Nguyen 🌟

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.

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📌 About Me

• 🌏 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

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🛠️ Skills and Expertise

Data Analysis

Quantitative Techniques

• 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/Non-Parametric Tests

• 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.

Exploratory Data Analysis (EDA)

• 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.

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Tools & Programming

• Programming: Python (NumPy, pandas, SciPy, statsmodels, matplotlib, seaborn).
• Visualization: Tableau, MS PowerPoint, MS Excel, Canva.
• Statistical Platforms: SPSS, Excel.

Machine Learning

• Basic proficiency in Scikit-learn and TensorFlow: Implementing simple supervised and unsupervised models.

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💼 Work Experience

• 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.

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📊 Featured Projects

• 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.

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🚀 Let’s Connect!

Feel free to explore my repositories or reach out for collaborations and opportunities.