Having a comprehensive data pipeline in place is critical for any meaningful analysis to take place.
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Built out a pipeline to capture massive amounts of simulator data for realtime analysis.
Sector: Education
Created a model to recommend courses based on peers in a similar job function taking into account ratings and discipline and previously completed courses.
Sector: Education
Used a clustering algorithm to map out similarities in groups of research subjects using various seemingly unrelated features.
Sector: Research
Built out a system to capture realtime alarm and sensor data and stream it into a cluster for later analysis of hotspots and irregular activity.
Sector: Security
Created a model to recommend clothing based on past purchases, location, and other buying habits of all other customers in the system.
Sector: Retail
Created a model that would assess skill gaps and recommend the appropriate courses that addressed those gaps.
Sector: Education
Built out a data warehouse using data from a dozen different sources. Multiple databases, flat files, APIs, and even emailed reports. A reporting engine was also built to leverage the new warehouse.
Sector: Retail
Built a mobile platform that would use GPS to capture repair data and substation placement in realtime. A model was built to maximize the efficiency of repair work across the entire city based on the type of repair work that was needed.
Sector: Engineering
Created a customized inventory management system that helped minimize cost by streamlining product flow from overseas sources to local clients.
Sector: Textiles