Ben Hull Email & Phone Number

Arlington, Virginia, US

Data Scientist working on developing automated solutions for survey and data processing workflows

Worldwide, OO

• Translated emerging priorities and requirements from government subject matter experts into analyses and report findings to technical stakeholders and non-technical leadership.
• Developed and deployed machine learning models to detect fraud at a government agency
• Maintained and optimized data management pipelines, enabling efficient data collection and reducing manual error.

Washington, District Of Columbia, US

• Managed 2 commercial data science teams which conducted survey research projects, representing tens of millions of dollars in annual revenue, for Fortune 500 companies in the pharmaceutical, food & beverage.
• Supervised 12 data scientists, reflecting over a million dollars in payroll, who were responsible for uploading surveys to online survey hosting platforms, fielding online survey research projects, extracting and.
• Conducted an average of 50 or more survey research projects per month, which required balancing many simultaneous 24-hour quick turn deadlines as well as long-term projects covering weeks and months.
• Collaborated with cross-divisional teams to develop new product offerings, standardize advanced analytics, and create scalable automated workflows.
• Reviewed code updates and merge requests to proprietary R based packages in Gitlab

Washington, District Of Columbia, US

• Supervised 2 data science teams that grew from 3 to 10 members which were responsible for programming online surveys, processing data, and developing reports for research projects in a fast-paced work environment.
• Consulted internal client services teams and clients on appropriate survey design and methodologies to answer their research questions across a variety of studies including Conjoints, Maxdiffs, market segmentations.
• Developed workflows integrating data from external APIs and command line job schedulers automating many aspects of fielding online surveys and producing custom Excel and PowerPoint reports turning week-long manual.
• Created standardized approaches and developed codebases to analyze survey data using machine learning methods such as Random Forest and Gradient Boosting, clustering techniques, and regression-based methods.
• Developed and committed code to R based packages in Gitlab to standardize reports and reporting processes, saving hours of work per week spent manually producing reports.
• Created a training program and curriculum to standardize data science onboarding which established a baseline skillset for quality assurance and standardization across the company, over 25 data scientists and analysts.

Washington, District Of Columbia, US

• Responsible for programming surveys in Qualtrics, an online survey hosting platform, and then using R to process data, analyze results, and deliver reports for all projects in 1 of the largest of 5 commercial regions.
• Interviewed, hired, and supervised a data science team as it grew to 3 data scientists.
• Created multiple standardized processes to manage workflows in project management/CRM tool Asana, which saved time and reduced errors due to communication or documentation issues.
• Worked with cross-divisional teams to develop internal standard processes and documentation for client services teams to request common deliverables and reports from data science teams.

Chicago, IL, US

• Specialized in data analytics and resource optimization for Department of Homeland Security (DHS) and Department of Defense (DoD) clients.
• Developed scenario-based interactive workload staffing models in Tableau.
• Converted manual Excel data manipulation processes into automated scalable processes using R to consolidate and validate data which transformed model updates from taking days to only a few hours.
• Created project specific methodologies, predictive models, and workload staffing analysis based on client requirements as well as industry best practices to provide strategic recommendations to leadership.