Allyson Clark Email and Phone Number

- Develop training compliance dashboard used by 10,000+ tech field employees- Analyze impact of price adjustments on retail product sales and user sign-ups to associated subscription models- Collaborate with Marketing to create target email audiences and email campaign performance using A/B testing, forecasted sign-ups, and campaign KPIs- Create KPI dashboards used by senior leadership teams on business metrics including subscription retail business and tech field training performance

• Created and maintained ARIMA and regression demand forecast models for client locations• Wrote SAS reports and Tableau data visualizations on forecast accuracy, change analysis, and process effectiveness for external partners and internal team usage

• Led forecast implementation project for Disneyland Paris Labor Demand Planning System launch, including workshop development, timeline planning, requirements gathering, team training, system testing, and site deployment and support• Created and maintained ARIMA and regression demand forecast models and distribution curves for Disney Parks resort merchandise, custodial, Minnie Van, and resorts operations workload planning• Designed and implement automated forecast process for Minnie Vans workload, decreasing a 22-hour weekly effort to less than 1 hour of weekly work• Wrote SAS reports and Tableau data visualizations on forecast accuracy, change analysis, and process effectiveness for external partners and internal team usage• Performed exploratory analysis, develop pilot forecast methodologies, and provide process recommendations for new clients, including Shanghai Disney, DClean, ESPN Wide World of Sports, and Disney Floral• Ran CPLEX optimization models to generate optimal workload scheduling requirements for Transportation and Adventures by Disney• Collaborated with operating areas, Industrial Engineering, finance, revenue management, and Workforce Planning partners on quantitative analytics projects and recommendations on operations performance• Designed and built text parser to translate and format structured and unstructured workload data into compatible forms for forecast analytics

• Responsible for developing weekly workloads for Bus Operations• Partnered with Finance to provide financial estimates as requested• Prepared and presented analytics on proposed and tested operating changes to local and executive leadership• Provided local operating areas and Industrial Engineering partners with data analysis on local projects• Maintained Excel VBA model for forecasting bus workload and dispatches for short- and long-term planning• Provided bus workload forecasts to Industrial Engineering to be used in the creation of biannual bidlines • Designed and implemented weekly performance metrics

• Provided ad hoc analyses of the accuracy of planning metrics and service drivers using APC ridership data• Compiled and presented weekly service and operational metrics reports for Transportation leadership • Evaluated potential bus workload impacts and associated costs for proposed special events and initiatives• Forecasted potential bus labor staffing requirements for new Transportation initiatives• Created daily Bus Operations workload requirements for Scheduling partners• Provided local operating areas and Industrial Engineering partners with data analysis on local projects• Partnered with team members and operating area leadership to integrate non-optimized workload into current planning methods through an Excel VBA model and updated workload position standards.• Designed an Excel VBA model to forecast bus workload requirements for short- and long-term planning• Forecasted six-month bus workload needs for Spring 2014 and Fall 2015 bids and yearly bus workload forecast for the 2015 Annual Operating Plan for use by Labor Staffing and Finance partners• Developed Excel tools to assist in local project analysis and reporting

• Compiled historical precipitation, surface temperature, and ground cover databases• Quantified impacts of reforestation in the Northeast United States on precipitation amounts through statistical comparisons of observations• Assessed the global influence of large-scale ground cover changes in the Northeast United States through the comparison of climate model scenarios

• Analyzed forecast tracks from the 2005 Florida hurricane season to quantify forecast accuracy in time• Developed probability simulator to forecast potential evacuation regions and size of evacuated populations 2005• Evaluated the preventable economic impact of loss of human life and evacuation costs as a result of multiple forecast products and evacuation triggers

• Compared model output to observations of sudden stratospheric warming events to quantify model accuracy• Identified regions that had greatest impacts from sudden stratospheric warming events through model output