Rachel Crisp

R&D team member focused on supervised learning for AI projects. Work with Data Science to define goals and train machine learning (ML) models to extract key data points and compare policy renewals in complex commercial insurance policies. Led complex technical projects to test ML models, prepare and clean raw data for analysis, synthesize insights, and present reports to leadership. Support efforts to collect, compile, and validate data. Play a key role in quantitative and qualitative analysis using standard statistical techniques and methods. Work with Database Engineering to run complex queries. Manage a small team of overseas contractors and interns.

Analyzed large sets of data for accuracy and identified key data points within complex commercial lines insurance policies. Proactively identified risks and dependencies, driving resolution. Communicate across multiple stakeholders ranging from individual developers to key leaders. Worked with leadership to define programs and improve data mining processes to enable the success and retention of Fortune 1000 customers.

Built a multi-million-dollar agency from the ground up, leading all strategic planning, business strategy, workstreams, and data analytics. Hired, trained, and motivated a small team. Collaborated effectively with individuals at all levels to drive YoY revenue growth.

Income tax processing, preparation of sales tax reports and payroll tax reports

Assist Corporate Counsel and private practice attorneys with: • Corporate and Business Law • Mergers and Acquisitions • Healthcare Law • Bankruptcy • Commercial Real Estate • Legal Research • Litigation Support

Managed multiple concurrent projects and evolving priorities; consistently met deadlines and performance goals. Developed and implemented spreadsheets to track annual reporting requirements and vendor and physician agreements for 23 national hospitals.