TA of STAT 3301 Regression and Statistical ComputingTeach a weekly discussion section.

TA of STAT 3022 Data AnalysisTaught a weekly discussion section.

* Leveraged data analysis from surveys to inform marketing strategies for 3 clients, generating comprehensive reports and data-driven strategic recommendations.* Provided actionable insights to a Financial Services client by analyzing lost users’ data, visualizing trends, and advising on adjustments to investment products, resulting in the adoption of several recommendations.

* Developed data analysis models and delivered data-driven decisions for lending rates, crafted data visualization using Qlik and managing the Hive data warehouse using SQL.* Constructed and optimized regression models to predict clients’ credit rates and compute Value at Risk based on their operational data, offering an analytical risk assessment tool that supported experience-driven judgment.

* Developed a short-text classification model for electrical products using neural networks; - Researched various machine learning techniques for text classification, creating a baseline BERT-based model using TensorFlow. - Optimized the model by constructing a specialized vocabulary and combining BERT with LSTM and CNN.* Constructed machine learning models for data governance, focusing on outlier detection to monitor abnormal power usage.