Kessie Zhang

Ever wonder why you have certain promotion code while your friends don't receive any? This business strategy is called personalized marketing. The goal of personalized marketing is to attract prospective customers and retain loyal customers. This project will attempt to classify whether or not new users will book room services within a month after they create their airbnb accounts.

A machine learning model to predict credit card default risk using customer payment history, demographic information, and credit utilization data. This classification model helps financial institutions assess creditworthiness and reduce default risk by identifying high-risk customers early.

The goal of this project is to use natural language processing techniques to make perfume recommendations to users, based on their favorite perfumes. Ultimately, we can not only help them find cheaper alternatives to their favorite perfumes, but also help them discover their next signature scents.

A lot of users have a difficult time finalizing their decisions when it comes to booking hotels, especially if there are many highly rated hotels for them to choose from. In order to resolve this problem, I built a model to extract the pros and cons words of each hotel to help end users make better and faster decisions.

The goal of this project is to develop a time series model to forecast air passenger demand that could increase aircraft utilization. Utilization KPI is one of the most important KPIs for Airline Operations. It is calculated as the percentage of checked-in passengers in relation to available seats of an aircraft. This time series forecasting method can be used to forecast cargo demand, sales, stocks, sports performance, etc.

The objective was to build a model that could help team managers use performance metrics to better allocate salaries among players. As for players, this model can help them understand which areas they need to improve on in order to increase their salaries.