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Predicting Customer Churn for an Investment Platform and devising a Marketing strategy
IIS Challenge: We curated the data and implemented a neural network to predict whether a customer churns or not. We also feature-engineered the dataset to create a marketing strategy to prevent churn.
Bagged Random Forest Classifier for Infinite Investments! By Thirandie Semage, Lisa Chan, Andy Chang and Deepika Sree Ramkumar.
Use of Machine Learning models to predict the severity and impact of Alberta wildfires based on data analysis of wildfires from 2006-2021.
We used machine learning models to predict customer churn and provided marketing strategies to improve customer retention
Guarding Alberta's Future: Smart Solutions for Wildfire Resilience through Data-Driven Insights
For this project, I preprocessed a large dataset and fit a random forest model to predict wether or not a customer will churn
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