- Developed ETL, Feature Selection, Back-testing, and Pilot Infrastructure pipeline of Community Detection and Label Propagation fraud models
- Developed ETL, Feature Selection, Back-testing, Model Selection, and Pilot Infrastructure pipeline for a Graph Neural Network Identity Theft
- Detection Model for FS2021 using Spark, Tensorflow, and Pytorch
- Implemented a sub-graph similarity algorithm for accurate sub-graph querying on large graphs using Spark
- Worked with clients to establish, define, and enforce ML-friendly data governance procedures