Senior Analyst - Machine Learning Engineer
CurrentBuilt, deployed, and monitored a new machine learning pipeline from scratch using Python in AWS Sagemaker to predict the underwriter decision of Life Insurance policy based on health metrics over the following 5 years. Achieved 72% accuracy with under 1 second inference time on AWS Cloud.Reduced underwriter decision metrics due diligence period on new policies by 95%, from 2-4 weeks to 10 minutes with “human in the loop” implementation.Presented results from machine learning models to the executive team.Technology Used: Python, Numpy, Pandas, Matplotlib, SKlearn, LightGBM, AWS: Sagemaker, S3, REST API Gateway, Lambda, VPC, ECR, Docker, SQL, Classification & Regression models, Azure DevOps