Robert DuBose, III

o Data analysis/analytics, specializing in areas such as finance, cost, marketing, and supply chain

o Conducted data mapping and validations to ensure data accuracy and integrity for Business NoteBook product related data

o Led data migration efforts, ensuring smooth transfer of large datasets across systems with minimal disruption

o Oversaw data quality initiatives, including monitoring, cleansing, and standardization processes to improve reliability and consistency of reporting

o Power BI and Tableau dashboard development for product specific information and financial models

o Project Manager for the Insider Program initiative

o Conducted comprehensive reviews of incident and litigation data to identify trends, patterns, and areas of improvement

o Identified opportunities for enhancing safety measures based on data analysis and industry trends using software such as Origami, Excel, SAP, and Tableau

o Monitored the effectiveness of implemented initiatives through data analysis, incident/injury tracking software (Origami), and feedback mechanisms

o Led data migration projects, ensuring accurate transfer of historical incident and litigation data between systems while maintaining data integrity

o Oversaw data quality efforts, including validation, cleansing, and standardization, to improve accuracy, consistency, and reliability of reporting and safety insights

• Processed and analyzed healthcare data using Encompass warehouse methodologies, software, and programming languages like SQL and Python
• Conducted claims data mapping, dashboard creation, and validations to ensure data accuracy and integrity with software such as Tableau, Excel, and Power BI
• Led data migration efforts, ensuring accurate transfer of healthcare datasets between systems while maintaining data integrity and compliance
• Oversaw data quality initiatives, including cleansing, standardization, and ongoing monitoring, to improve reliability, consistency, and actionable insights

• Developed comprehensive dashboards and reports using tools such as Tableau and Power BI, translating complex data sets into visually engaging insights for educators, administrators, and parents, and facilitating data-informed initiatives
• Utilized machine learning techniques to build predictive models for student enrollment, attendance, and dropout rates, enabling proactive interventions and achieving a 15% decrease in dropout rates over two academic years
• Conducted regular data audits and led data quality initiatives, implementing cleansing, validation, and standardization procedures that improved data accuracy by 25% and ensured reliable analysis
• Managed data migration projects, overseeing accurate transfer of educational datasets across systems while maintaining data integrity and minimizing disruption