Monica Phan
monica-phan26
Background in retail and planning, a data practitioner but not satisfied enough with Excel, pursuing becoming a data problem solver with Data Science skills.
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12STA 9750 - Software Tools for Data Analysis - Project folder
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Analyzed data on 200+ studios and 3000+ movies to advise Microsoft on investing in a new movie studio. Recommended Animation genre with a budget of 50-200M USD to double ROI, and managed popularity of 20+ to ensure global revenue greater than 500M USD.
Implemented an image search feature on the website to improve the experience of 35% of customers dissatisfied with keyword searches. This enhancement incorporated the CNN model with 95% accuracy for image classification and the Siamese model for the top 5 similar products, leveraging the data set of 24,000+ images across 10 different classes.
Generated automated weekly sales forecast by departments in 45 stores using a dataset of weekly sales data spanning over 2 years, by employing the Random Forest Regressor model with achieving the Mean Absolute Error (MAE) of less than 10% of the forecast.
Reduced the initial churn rate from 25% to less than 20% by implementing churn-prevention alerts based on the predictions of customer churn likelihood built from the XGBoost classification model with 95% accuracy from a 6-month subscriber dataset.
Developed a housing price prediction tool for the real estate company to forecast upcoming housing prices by employing a linear regression model with an R-squared value of 70% based on a 13-month dataset of King County residences.
High-Resolution Image Synthesis with Latent Diffusion Models
Open source platform for the machine learning lifecycle
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NYC Data Science April 24 Cohort