Location Observation Fraud Outlier Identification
Used Tableau and sampled data to identify impossible or improbable movement patterns in location observation datasets, then designed a system to tag and filter...
Machine Learning and Data Science
Projects involving predictive modeling, ML pipelines, feature engineering, and data-driven decision systems.
Used Tableau and sampled data to identify impossible or improbable movement patterns in location observation datasets, then designed a system to tag and filter...
Before TensorFlow existed, built a continuously-learning SQL-based machine learning system that optimized real-time bid pricing for programmatic advertising —...
Pipelines train models on data to produce predictive or generative outputs and improve performance through iteration.
Infrastructure deploys trained models for real-time or batch inference under latency and scaling constraints.
Neural Networks is a computational models inspired by biological neural systems.
Designed, implemented, and tested 150 iterations of a scoring algorithm to determine the likelihood of a customer revisiting a physical store, based on mobile...
Systems measure likeness between entities using features and distance metrics so they can drive insights, grouping, and product behavior.
Created an algorithm to build an optimal international geofencing system for hundreds of millions of postal address regions, incorporating feedback from 32...