About matthew
Engineer with 10+ years of experience in shipping production systems across defense and Fortune 100 environments. Lead cross-functional teams that convert customer requirements into deployed analytics on image, geospatial, time-series, and structured data.
Key Skills
Experience
Forward Deployed Engineer
CurrentBooz Allen Hamilton
* Led a team of 3 that built a UAS Mesh Network with on-hand components and received an Authorization to Operate (ATO) for operational testing and validation. * Led a team of network, robotics, and data engineers who built Group 1 and 2 UAS aircraft that conducted operations across the Central Command (CENTCOM) Area of Responsibility (AOR). * Supported the electronics, embedded systems, radio frequency, camera, and sensor payload configurations for Group 1 and 2 UAS systems. * Developed machine learning model projects with Python, R, and Databricks that captured customer cost savings of $1.2 million in human resources, finance, and training divisions. * Led the data science team that created a Department of Defense (DoD) financial transaction management (FTM) machine learning model that reduced task completion from six months to two weeks. * Led a team of 7 data scientists and engineers who delivered thirty-five (35) projects in twelve months, which saved the customer 11,500 personnel hours on previously manual tasks. * Led the Profit and Loss (P&L), personnel management, and day-to-day client interface for a $6 million contract that went from a 15% Probability of Re-Win (PWIN) to 85% PWIN.
Data Scientist
Wells Fargo
* ● Employed advanced machine learning techniques in Python and SAS to evaluate the deposit and trading balance risk models to provide insights to Senior Risk Modeling Group (RMG) leadership that covered billions of monthly transactions. ● Supported four SAS deposit and trading balance quantitative forecasting models throughout the implementation and production process for the Mid-Year Financial Assessment (MYFA), Quarterly Forecasting, and Sensitivity Analyses supporting the Risk Modeling Group. ● Supported SAS and Python deposit and trading balance forecasting models that were part of the ~7% compliance for Model Control on-time submission for the Mid-Year Financial Assessment (MYFA).
Lead Data Scientist
Aeyon
* Serves as the lead technical advisor to a staff of 50+ FTEs supporting the data science environment for the Defense Health Agency (DHA) THANOS Project. * Retains oversight of 54 FTE in five work streams (Measures, Information Delivery, Analytics, Reporting, and Knowledge Management) that support the oversight and delivery of data analytics solutions across the J5 Analytics Evaluation Division (AED) for the Defense Health Agency (DHA). * Responsible for the technical and data curation collaboration amongst a diverse group of government and civilian stakeholders that resulted in 27-time sensitive projects delivered within the first 45 days of employment. * Responsible for leading the data discovery, data integration and data management initiatives at the enterprise level.
Education
Thayer School Of Engineering At Dartmouth
Master Of Engineering
Duke University - The Fuqua School Of Business
Master Of Science
Duke University - The Fuqua School Of Business
Masters
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Common Questions
What is matthew's expertise?
matthew specializes in Forward Deployed Engineer, with expertise in agile methodologies, agile project management, algorithms, amazon web services, analytical skills.
Where is matthew located?
matthew is based in charlotte, north carolina, united states.
How much experience does matthew have?
matthew has 24+ years of professional experience.
How can I contact matthew?
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