• Oversee a team of analysts to build statistical and financial models relevant to financial forecasting, modeling, and analytics for the financial performance of the business.
• Led and mentored analysts in producing analytics & models that supported the Capital Markets department. Helped develop new products and quantified returns through scenario analyses and model optimization.
• Streamlined cash flow forecasting efforts to reduce model generation time and drive consistency across products. Utilized Excel VBA and Macros to automate repetitive tasks & expedite calculations.
• Consolidated 30+ models under one platform to reduce duplication and limit errors from multiple sources of data. Reducing monthly updates by 8 hours.
• Worked with a cross-functional team to improve data quality in Snowflake DB and identify abnormalities in the data, resulting in ~1000 errors being corrected.

• Led workshops to scope & develop Manufacturing Equipment Systems for customers to gather, consolidate, and visualize their data. Customers included companies in industries such as Food & Beverage, Industrial Products, and Semiconductors.
• Led team to create analytics & data visualizations at 10+ sites, including customized features with Ignition, SQL & Python software. Met directly with clients at every step of development, from understanding their needs, improving infrastructure, prototyping products, to final production. Often moving from a manual process to an automated one, resulting in >500 hours of savings for each site.
• Developed data collection methods to calculate Overall Equipment Effectiveness (OEE) & understand the changes to be made to improve key metrics. This often required working with multiple sites of a company to drive consistency and ensure data quality and transference was at a high level.

• Developed and implemented machine learning models using SAS and SQL to provide business insights on large complex data sets, show trends in performance, and identify areas of improvement based on the data.
• Created and maintained SAS programs & macros to process data, generate models, and publish data. Curated data flow from AWS to look for leading indicators and identify drivers in part failures.
• Managed the modeling, development, & execution for predictive analytics in SAS across 8 product lines, which provided predictions for future customer service contract costs & performance on current contracts.
• Developed multivariate time series models to identify drivers of downtime in the field and helped to quantify impact of design changes to abate these issues.
• Used Text Analytics to improve categorization of hardware by +50% and provide general insights around labor hours to replace the hardware in the field. This reduced mislabeled and non-labeled parts and events, allowing

• Led efforts to bring Analytics into reliability & risk modeling that would improve the predictive capability of the business & drive business decisions. Led team of 9 to develop analytics to improve the predictive capability of survival models.
• Developed data analytics models and systems that incorporate engineering models, operating behavior, & statistical methods, then oversaw their application across a fleet of 700 units to support the Industrial Internet of Things (IIOT).
• Responsible for communicating to senior leadership & chief engineers about new developments, method changes, & opportunities for improvement in Data Analytics.
• Utilized tools like JMP,
● & SQL to streamline & automate several processes. One process saw a 6-month reduction in man-hours, and those gains were leveraged across other processes.
• Developed training courses around Probability, Survival Modeling, Analytics and SQL for the larger team. Authored work instruction and design practice around deve

• Led team to reduce cost of quality by reshaping the Warranty review process, reduced backlog by 20%, reduced P75 of WIP 43% & increased throughput 13%. Helped to identify abnormalities in the data and specifically identified a case of fraud against the company. Utilized Agile methodology for team performance.
• Developed an analytics system to measure business wide drawing quality. Created visualizations to inform business of requirements, performance & improvement. Presented results at monthly review with the Vice President of Engineering.
• Led 8 sessions of Greenbelt training & mentored 3 engineers towards certification.

• Certified in Design for Six Sigma through two probabilistic design projects. Used Design of Experiments methodology and stochastic optimization methods to identify the optimal design of mounting hardware.
• Led efforts to redesign structural hardware on a small military engine hot section & ensured the project was on time and on budget.
• Responsible for the development of engine mounting and internal compressor components of a large horsepower turboshaft engine, from concept to production, including interfacing with customer and other engineers to ensure continuity throughout the engine.