Data Brokering
Data Brokering is the collection, aggregation, and sale of data from multiple sources.
Data Product Systems
Pipelines and structures turn raw data into packaged, sellable, and repeatable products with defined schemas and use cases.
Pipelines and structures turn raw data into packaged, sellable, and repeatable products with defined schemas and use cases.
This domain is valuable because data and AI systems expose the full path from collection to action. They make it obvious that storage, transformation, meaning, trust, and incentives all shape the value of the output.
The transfer advantage is strong here. Learning to ask where data came from, how it changed, and who is rewarded by its use builds a habit that improves product, operational, and strategic thinking in other domains. This domain gets more useful when it is compared with adjacent systems instead of being treated as a silo. That is where reusable judgment starts to form.
Data Brokering is the collection, aggregation, and sale of data from multiple sources.
Data Product Development is the process of building products that leverage data to deliver value to users.
Dataset Development is the creation, curation, and refinement of datasets for analysis or product use.
Built predictive audience demographic datasets using graph databases and AI/ML. Trained models to predict demographic attributes of mobile device audiences...
Designed a novel IP geolocation confidence model combining location observation data with network topography analysis to improve the accuracy of geographic...
Used Tableau and sampled data to identify impossible or improbable movement patterns in location observation datasets, then designed a system to tag and filter...
Projects involving predictive modeling, ML pipelines, feature engineering, and data-driven decision systems.
Before TensorFlow existed, built a continuously-learning SQL-based machine learning system that optimized real-time bid pricing for programmatic advertising —...
Designed, implemented, and tested 150 iterations of a scoring algorithm to determine the likelihood of a customer revisiting a physical store, based on mobile...
Created an algorithm to build an optimal international geofencing system for hundreds of millions of postal address regions, incorporating feedback from 32...