Predicting Customer Preferences for Better Hotel Booking

• Implemented a Machine Learning algorithm that analyzed customer data to predict their likelihood of conversion, resulting in a 20% increase in conversion rate

• Employed ETL, data modeling, and statistical analysis to achieve 100% efficient lead scoring and budget estimation

• Utilized predictive models and validation techniques to enhance data quality for machine learning, resulting in a 20% improvement in accuracy