Nina Wan

Highly motivated, multilingual individual deeply committed to data-driven optimization and advocating for ethical practices in supply chain management. Currently pursuing a Master’s degree at the Ross School of Business, specializing in Supply Chain Management within a STEM-designated program. Adept at analyzing complex issues and independently formulating effective solutions. Driven by intellectual curiosity and a strong ability to take initiative, excelling in executing tasks with advanced analytical and problem-solving skills. Experienced in navigating dynamic business landscapes, consistently delivering effective solutions and fostering continuous improvement. Skillset snapshot: · Data analysis: data cleaning, data mining, data interpretation · Programming language: R, Python, Microsoft Excel VBA · Data visualization: Python, Microsoft Excel · Machine learning: Clustering, Classification, regression, Naïve Bayes, Decision Tree • Statistical Analysis: Predictive Modeling (Linear/Polynomial/Logistic Regression, LSTM Neural Networks), Hypothesis Test, Optimization • Business Analysis: Machine Learning (Decision Tree, Bayesian Classifier, Neural Networks), Dashboard Building, Visualization, Cost Analysis. Fluent linguistic in English and Mandarin Chinese.