• Led product development projects for e-commerce business, analyzed market trends, and proposed product enhancements based on data.• Automated FBA fee calculation with Python, improving efficiency by 50%.• Developed Tableau dashboards to drive data-driven decisions and reported results to stakeholders.

• Conducted exploratory data analysis and data cleaning with Python on ride-hailing orders dataset to identify factors influencing order cancellations.• Utilized Scikit Learn to train a logistic regression model, achieving good accuracy with AUROC 0.89 on testing data with all variables statistically significant.• Presented findings to management, recommending adjustments to cancellation policies based on statistical significance analysis.

• Conducted data preprocess and imputation with Python on a dataset of multi-family properties to analyze rent factors.• Researched nationwide location data for amenities like Starbucks and hospitals to visualize rent relationships in Tableau.• Trained multi-variable regression models to identify undervalued properties for investment recommendations.