Skills

DoD Flight Analyses

●      Enhance current data workflows to optimize large scale data analyses and risk calculations using linear and dynamic programming

●      Drive decision making processes on model updates using sensitivity analysis, forecasting, and increasing model accuracy using python libraries and tableau for visual analysis

●      Bayesian analysis of component failure to optimize testing schedules for product deployment

FAA Flight Analyses

●      Promoted to lead analyst for FY 25 analysis work prompted by modernizing analysis methods through new tools and skills

●      Analyze historical air traffic data in proposed flight areas using large relational data sets, Hadoop, R, Python, Pyspark, Jupyter, and Tableau

●      Increased data analysis efficiency by 20%, creating first-of-its-kind logic using big data resources to develop a repeatable, efficient and streamlined process

●      Employ statistical analyses and models to assess collision risk using drone parameters and country wide historical air traffic data.

Team shoutouts:

“This award recognizes Allison for her critical thinking, speed, and agility in supporting the [client] request for collision risk analytics through the [client] program. Allison’s rigorous analytics and attention to detail within a 30-day timeline led to the delivery of a successful, data-driven analytical package for [client] to support the safety case development for their proposed expanded operations. A job very well done!”

“Engineering expertise…. instrumental in helping to deliver several time sensitive analyses to the FAA. She provided expert technical support, learned new skills quickly, and she delivered quality results. She greatly reduced the workload on our lead analyst and proved herself a valuable member of our team. Her contributions are greatly appreciated, and we look forward to working with her on future tasks.”

“Allison’s speed, accuracy, and due-diligence while conducting a quick-turnaround analysis in support of the FAA…. under a tight timeline, communicate findings and abnormalities within the data, and design first-of-its-kind logic using Big Data resources to create a repeatable, efficient, and streamlined process.'“

Financial Analysis Contract

●      Collaborate on developing best practices for analytic programs including data management, analytic methodologies, and more

●      Conduct analyses sampling collected data from relational databases in Postgres

●      Apply and assess accuracy of text matching algorithms utilizing parallel processing

VA Call Center Analysis

●      Analyze data from VA call center to identify changes for increased efficiency and meeting target SLAs using Service Now, Excel, R, Python, and Power BI tools

●      Applied statistical tests such as hypothesis testing and t-tests to identify significant differences between daily call volume and identified impacts of call center incidents on SLA’s and KPI’s to develop Power BI dashboard tool for easy data validation including multiple data visualizations and quick calculation tools to assess the affects of major outages

●      Increased monthly KPIs by 20%+ to meet SLAs and deliver 10-minute major incident outage tool to assess waiver requests during major incidents

Team shoutouts:

Made “impact to ECO's customer focused outcomes as priorities and by enabling data driven decisions rather than subjective decisions. Support the ASA SLA Data Verification and Validation they retrieved the data from the CCI platform and used programming techniques to filter and manipulate the data that led to multiple discoveries. Identified the impact of Major Incidents outages on ASA SLA, on Staffing levels. Collaborated with MTIRE Team to build a simple but effective data validation tool. Provided multiple data visualizations to ensure the VA understanding of the associated insights.”

Foster Care Analysis

●      Present data for federal convening on barriers and opportunities for improvement in the foster care system using R

●      Explore data on national and state foster care variables to understand precursors and outcomes of child welfare involvement and create data visualizations to understand families that lose their children to the foster care system in an effort to prioritize family wellness and communication between different government orgs and families.

●      Outlined 4 major challenges, 4 opportunities for improvement, and 6 proposed next steps in improving child and family well-being at the state and federal level

Team shoutouts:

“Extraordinary contributions to the convening to prevent children from entering foster care…. data analytic capabilities combined with your professionalism, collaboration and willingness to take on tasks contributed to a highly successful convening of key agencies'“