Michael Johnson Email & Phone Number

Berlin, Berlin, De

Bethesda, Md, Us

Bethesda, Md, Us

Work with customers from around the corporation to frame business problems as machine learning problems. Lead team of data scientist/machine learning engineers to build end to end machine learning products, fostering an environment of entrepreneurship, continuous learning, and fast business value. Research and implement cutting edge techniques in nlp, simulation IoT/streaming sensor data, and cyber security using deep learning.Co-lead a project to set corporate wide vision for connecting, training, and enabling AI/ML skills including driving collaboration, vetting and bringing in tools to streamline data science workflows, and establishing and executing training.

Bethesda, Md, Us

I use data to solve problems from around the corporation. I work on a projects from a wide range of domains including HR, finance, manufacturing, marketing, supply chain and competitive intelligence leveraging state of the art machine learning algorithms.

Armonk, New York, Ny, Us

I use statistical techniques to solve data intensive problems related to semiconductor manufacturing. I build end to end data pipelines including data extraction, manipulation/cleansing, storage, analytics and machine learning. I wrote and presented a technical paper at the worlds largest semiconductor test conference, contributing a novel technique for extracting reliability information out of complex semiconductor repair data. I regularly communicate the results of my work to executive level leadership and have an opportunity to teach a monthly class on data analysis techniques to over 150 IBMers from around the company.

Armonk, New York, Ny, Us

Size, execute, and interpret results from reliability experiments focused on Embedded DRAM IP's. Use statistical modeling techniques to construct Wiebull relevant to complex use cases.Design effective qualification methodology for cutting edge semiconductor technologies. Lead large cross functional teams to identify and eradicate reliability problems. Directed team of engineers and technicians to execute large scale qualifications on both prototype test vehicles and P series and Z series CPU’s. Present weekly update to executive management on progress and problems.Developed and standardized streamlined methodology for qualification execution including database structure, dashboard, and data analysis API’s. Methodology adopted for all qualifications activities within IBM, contracted by external company to enable capabilities for their reliability engineers. Reduced typical data analysis time from 2-3 hours to 5 minutes.

Lake Oswego, Oregon, Us

Collected and analyzed data to solve problems associated with metal injection molding process. Developed a tool which enabled 25% throughput improvement and decreased risk of injury. Re-hired part time during school year at 40% pay increase

Bachelor Of Science (Bs), Engineering Physics

Master Of Science (Ms), Electrical And Electronics Engineering