Tom Lorin

- Airbnb Price Prediction Model:

Built and compared regression models (Linear Regression, Random Forest, XGBoost, CatBoost) to predict listing prices.

Performed data cleaning, feature engineering, model evaluation,

and performance comparison.

- House Price Prediction (USA):

Developed a linear regression model using Python to predict house prices in the Northeastern United States.

• Identified and contacted French-speaking seniors in London, targeting organizations, charities, and local councils.
• Compiled data from responses into an Excel sheet for analysis.
• Launched a marketing campaign to enhance the visibility of the dispensary.
• Presented work to charity trustees, effectively communicating project objectives.

• Facilitated group activities for 10 children aged five to eight years.
• Promoted an inclusive environment through attentive engagement with all participants.
• Delivered positive reinforcement and encouragement to enhance children's self-esteem.

Conducted field surveys in rivers to enhance data collection efforts.

Utilized specialized GIS software for rainwater treatment data analysis.