Michael Dey

Data Engineer

Slalom•  January 2019 - Present

▪ Implemented data warehouse in AWS Redshift from client legacy system. ▪ Lead development of data integration from application into data warehouse using AWS Kinesis, Lambda, and Redshift for real-time reporting. ▪ Helped lead training course in machine learning to the Slalom Data and Analytics team.

Data & Analytics Engineer

Baker Oil & Gas•  November 2017 - January 2019

▪ Established database of over 32,000 unique industry standard material chemistries and properties. ▪ Created machine learning models to classify materials and deep learning to establish labor cost estimates for products of complex geometry. ▪ Developed R and Shiny applications to effectively present cost analysis of frequently purchased parts, offering an advantage during cost negotiations. ▪ Used data science techniques to reveal cost anomalies, saving $76,000 annually. ▪ Trained contractors in R code optimization and reduced run time by 99% with less memory.

Mechanical Engineer

General Electric•  June 2013 - November 2017

▪ Developed software code to automatically calculate part cost given cost-driver data inputs ▪ Used advanced statistics to provide a cost basis to negotiate with suppliers