Tech Lead
Current- Leading a team to create the insurance industry’s first knowledge graph- Create several ETL pipelines for unstructured data in NA, EMEA, APAC, and LATAM – Batch and streaming – On-premise and cloud infrastructure – Written in a functional programming style to minimize production issues- Extracted entities from unstructured data using NLP and ML – Saved Chubb over $1 million – Random forest classifier- Identified Chubb’s top prospective customers using Spark ML in Databricks – PCA and k-means clustering- Parallelized Chubb’s custom text encryption algorithm in Spark – Improved benchmark’s runtime from 50,000 minutes to 20 minutes