Fangxu Gu

Results-driven Data Analyst with a strong foundation in data science, machine learning, and statistical analysis. Skilled in Python, SQL, and data visualization tools, with experience in optimizing business decisions through data insights. Passionate about leveraging data to solve real-world problems and drive strategic improvements.

Understanding COVID-19 Mortality Predictors in Mexico, Python, Jupyter Notebook, Machine Learning, Analyzed 4 million government-provided COVID-19 patient records to uncover key mortality factors., Applied Linear Regression, Logistic Regression, and Decision Tree-based models (CART, Boosting, Random Forest) to predict death risk., Utilized Principal Component Analysis (PCA) to reduce dimensionality and improve prediction accuracy., Enhanced model reliability by addressing overfitting and validating results through cross-validation. Advanced Email Classification: Spam vs. Ham, Python, Sklearn, NLP, Built a binary classification model to identify spam emails using feature engineering and machine learning., Utilized sklearn for preprocessing and model training, achieving high precision and recall scores., Implemented ROC curve analysis to fine-tune the model for improved classification accuracy.

• Data-driven decision-making
• Machine Learning
• Business Strategy
• Traveling
• Meditation

LA Works, Community Resource Verification Initiative, Volunteer, 09/21, 10/21, Conducted data validation and verification for community resources, improving accuracy of legal aid referrals., Collaborated with a team to cross-check and update critical public service databases.