Ashley Moraski Email & Phone Number

Boston, MA, US

Bedford, MA, US

• The first recipient of the 2022 Werfen Excellence Award for Delivery of Results
• Build, manage, and develop a small team of statisticians, provide coaching and mentorship, conduct performance evaluations
• Simultaneously support statistical activities for multiple (10+) projects for New Product Development in design verification and design validation/clinical trials on instrument and reagent products in Hemostasis and.
• Provide statistical consultation for problem-solving and continuous improvement in the areas of design, development, and production to achieve product quality goals and requirements
• Participate in the design and review of protocols and reports to aid regulatory submissions, including preparation of statistical sections and study design recommendations, and participate as forward forward-facing.
• Exploratory, descriptive, and predictive modeling using validated R scripts to extract data, quantify risks, and inform development decisions

• As Project Lead, acted as cross-functional liaison to ensure timely delivery of model results for a more accurate homeowner policy pricing algorithm
• Coordinated activities within the Data Science Team and across departments (Pricing, Product, IT) to influence implementation strategy for selective ordering of MVR to reduce incurred costs
• Built predictive models using generalized linear models and machine learning algorithms in SAS and R
• Optimized machine learning algorithms and predictive analytics using XGBoost model development for variable importance selection and performed parameter tuning with Gaussian processes
• Created smoothing and clustering methodology for territory identification
• Developed and trained the department on designed experiments for marketing-based research

Paris, France, FR

• As Site Statistician supported MSAT (product support) and Quality Control in the use of statistical methodology for reactive, proactive, and continuous improvement efforts
• Used modeling techniques and change point analysis to investigate sources of variability for process and test method investigations
• Designed and analyzed studies for process characterization
• Coordinated / Led a trending program, composed of cross-functional team members to monitor product quality
• Developed scripts for trending programs using SAS and JMP and accessed databases through SQL queries
• Oversaw employee support of trending programs and investigations

Bedford, MA, US

• As a statistician, provided consultation for best practices in study design, sample size, data analysis, and interpretation of statistical output using Minitab on topics regarding complaint investigations, Six Sigma.
• As a quality engineer, reviewed and approved protocols and reports for design verification
• Generated standard operating procedures following regulatory guidelines for standard statistical practice

East Hartford, CT, US

• Instructed and aided implementation of Gaussian Process Modeling for use with deterministic, physics-based computer models to emulate ANSYS models, perform sensitivity analyses, and calibrate model parameters
• Performed simulations to determine risk in response to suspect field issues
• Set tolerances on reverse-engineered parts leading to certification by the FAA
• Instructed classes regarding basic statistical concepts and their applicability to on-the-job projects

Round Rock, Texas, US

• Assisted a Six Sigma Green Belt project in the design of sampling plan techniques
• Performed statistical consulting to drive improvements in design and production processes
• Fit survival models on reliability data to assess corrective action effectiveness

Masters Of Science, Applied Statistics

Bachelor Of Science, Mathematics