Derek Fields

• AI-Powered Forecasting: Uses advanced time series models (Prophet, XGBoost, blended AI models) to predict future bill rates and pay trends, helping both hospitals and providers plan smarter.
• Pay Transparency: Exposes the true margin split between provider pay and hospital bill rates, allowing clinicians to see what agencies typically keep.
• Resume Matching: Automates provider-to-hospital job matching by parsing resumes (PDF, Word, text) with NLP and AI, mapping credentials, certifications, and work experience against open positions.
• Dashboards & Analytics: Built on Python, SQL, Azure, and Databricks, with interactive Power BI and Plotly dashboards for hospitals to track labor costs, agency dependency, and ROI.
• Direct Messaging: Enables providers and hospitals to communicate directly within the platform—removing the middleman and reducing delays in contract negotiation.
• Cost Reduction: Hospitals use LocumPal to reduce contingent labor spend, while providers benefit from higher take-home pay by bypassing recruiters.

• Provides clinicians with fair pay transparency and control over their careers.
• Helps hospitals save millions by reducing agency markups and optimizing contingent labor usage.
• Establishes a scalable, data-first platform that combines AI, predictive analytics, and direct marketplace dynamics to reshape the healthcare staffing industry.

• Built robust dashboards and visualizations using Power BI, Plotly, and Python, delivering clear insights from complex datasets.
• Designed and optimized SQL queries and stored procedures in SSMS to power real-time reporting and analytics.
• Leveraged Databricks for large-scale data processing, pipeline automation, and integration with business intelligence platforms.
• Applied machine learning models (CNN, NLP) to enhance pattern recognition and sentiment analysis, embedding results directly into dashboards.
• Partnered with business and sales teams to promote AI-powered analytics, driving adoption and practical use cases across clients.
• Modernized legacy reporting systems into interactive, user-friendly dashboards, significantly improving decision-making speed and accuracy

• Spearheaded the identification of critical business challenges and delivered AI-driven solutions tailored to organizational needs.
• Designed and deployed convolutional neural network (CNN) models to analyze complex public safety data, uncovering hidden patterns and improving predictive capabilities.
• Applied natural language processing (NLP) techniques for sentiment analysis, enabling organizations to better understand community feedback and improve decision-making.

• Directed a cross-functional team of engineers to build Agency Intelligence, an advanced analytics platform that combined deep learning and NLP to support real-time decision-making in public safety operations.
• Enhanced situational awareness and operational planning by developing scalable pipelines that integrated multiple high-volume data streams.

Director of Data Science – Prolink

• Founding Leader: Established and scaled Prolink’s data science organization from the ground up, architecting the full data ecosystem across Azure, Databricks, SQL/SSMS, and Python-based services.
• Predictive Workforce Analytics: Designed and deployed AI-powered forecasting models (Prophet, XGBoost, CNNs, NLP) to project staffing demand, bill rates, and labor costs for travel nurses, allied health, and locums—directly reducing reliance on contingent labor.
• Enterprise Dashboards & Visualization: Built client-facing dashboards in Power BI and Plotly, seamlessly integrated with Databricks pipelines and SQL warehouses, delivering real-time insights into pay trends, cost savings, and staffing optimization.
• Data Engineering & Infrastructure: Implemented ETL pipelines, data normalization, and advanced SQL procedures to unify disparate hospital, VMS, and labor market datasets into a scalable analytics platform.
• Client & Hospital Engagement: Partnered with five of the largest healthcare systems in the U.S., providing executives with predictive analytics dashboards that informed strategic workforce planning.
• Proven Impact: Solutions generated hundreds of millions in hospital cost savings and drove 400%+ Prolink revenue growth since 2020, establishing the data science team as a core business driver.

• Collaborated on ETL (Extract, Transform, Load) tasks, maintaining data integrity and verifying pipeline stability.
• .Fine-tuned query performance and optimized database structures for faster, more accurate data retrieval and reporting.
• Enhanced data quality by performing thorough cleaning, validation, and transformation tasks.
• Streamlined complex workflows by breaking them down into manageable components for easier implementation and maintenance.