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Data & Analytics
Capstone Project - Pacific life
· Built Multinomial Logistic Regression models on employee data to predict retirement age and their annuity preferences using Python
· Applied univariate feature selection on employee data to utilize influential characteristics in the model and achieved an A/E ratio of nearly 100%
· Facilitated company with forecasting disbursements, making pricing assumptions and cost-savings
· Generated business insights by creating interactive visualizations and dashboard via TableauShow More Show Less