Darryl Fields, Mph Email & Phone Number

New York, Ny, Us

New York, Ny, Us

• Data Analysis and Reporting:o Analyzed quality, resource utilization, clinical practice, patient satisfaction, and regulatory compliance data to support senior leadership decision-making.o Designed and implemented performance measurement systems to track organizational performance and patient satisfaction metrics.o Conducted descriptive and inferential statistical analyses of patient outcomes using Python and SPSS, providing actionable insights to improve clinical procedures.• Business Intelligence (BI) Development:o Developed data-driven stories and visualizations using BI tools (e.g., Tableau) to guide clinical and operational improvements.o Automated standard reports, created performance reports, and merged datasets to streamline data reporting processes.o Documented work procedures and methodologies to ensure consistency, reliability, and continuity in reporting.• Database Management:o Extracted and manipulated data from relational databases using Oracle SQL Developer, ensuring accurate data retrieval and analysis.o Collaborated across business lines to coordinate large-scale analyses, informing organization-level projects and initiatives.• Training and Collaboration:o Provided training and technical assistance to mid-level department analysts, enhancing their analytical skills and BI tool proficiency.o Partnered with senior leadership and external stakeholders to support data-driven decision-making and strategic planning.

New York, Us

• Operational Improvement:o Identified opportunities for improvement in organizational operations through comprehensive consumer utilization and satisfaction data analysis, leading to enhanced service delivery and operational efficiency.• Data Monitoring and Solutions:o Monitored data trends and fulfilled ad hoc data requests, providing actionable, data-driven recommendations that resulted in strategic improvements across departments.• Data Quality Initiatives:o Coordinated initiatives to improve data quality by collaborating with clinical and operations staff, ensuring data accuracy and reliability for informed decision-making.• Business Intelligence (BI) Development:o Utilized BI programs (e.g., Tableau Desktop, MicroStrategy) to automate standard reports, create performance visualizations, and enhance data accessibility for stakeholders.• Cross-Departmental Collaboration:o Developed strong relationships across business lines, supporting data-driven solutions and promoting a culture of data-informed decision-making within the organization.• Analytical Communication:o Translated complex analytic methodologies into comprehensible language for stakeholders, ensuring clarity and fostering understanding among non-technical audiences.• Database Management:o Queried relational databases using Microsoft SQL Server to create internal dashboards and data sources, providing critical insights for organizational performance tracking.• Statistical Analysis:o Conducted descriptive and inferential analysis using SAS, uncovering key trends and patterns that informed strategic planning and program evaluations.• KPI Development and Quality Improvement:o Developed Key Performance Indicators (KPIs) to evaluate programmatic services, facilitating quality improvement projects that led to measurable enhancements in patient outcomes.

Queens, New York, Us

• Data Extraction and Analysis:o Fulfilled monthly and ad hoc data requests by extracting data from relational databases (e.g., disease surveillance registries, electronic medical records) using SAS and SQL.o Developed detailed Tableau dashboards to present data to senior leadership, providing insights and guiding decision-making processes.• Statistical Analysis:o Analyzed surveillance data to identify stakeholder characteristics and behavior patterns, utilizing advanced statistical methods including linear and logistic regression.o Conducted comprehensive statistical analyses on programmatic and clinical data to assess outcomes and effectiveness of public health interventions.o Created, defined, and transformed variables for both descriptive and inferential statistical analysis.o Performed data cleaning, validation, and uploading to relational databases, ensuring data integrity and reliability.• Program Evaluation:o Developed data collection tools for evaluation projects, ensuring accurate and relevant data collection.o Identified appropriate secondary data sources and integrated them into analysis for comprehensive program evaluations.• Reporting and Communication:o Developed monthly and annual quantitative progress reports summarizing programmatic accomplishments, presenting findings to senior leadership and stakeholders.o Organized and led monthly conference calls with federal grant managers, using project management tools (e.g., Gantt charts) to track project activities and milestones.• Quality Improvement Projects:o Implemented quality improvement projects aimed at enhancing program services and customer experience, utilizing data-driven insights to drive improvements.o Leveraged statistical analysis to measure the impact of quality improvement initiatives and report on their success.

Baltimore, Md, Us

• Grant Management and Technical Assistance:o Managed a CDC Demonstration grant, providing technical assistance to high HIV morbidity counties, resulting in improved HIV care and prevention programs.• Systematic Reviews and Gap Analyses:o Conducted systematic reviews and gap analyses of Linkage-to-Care (LTC) practices and systems, identifying critical areas for improvement and streamlining processes in Maryland’s highest HIV morbidity counties.• Data Collection and Analysis:o Collected and analyzed LTC data to demonstrate the effectiveness of surveillance-guided Partner Services, contributing to evidence-based program enhancements.o Extracted and analyzed medical record data using SAS and SQL, generating insights to inform health interventions and policy decisions.• Process Visualization and Improvement:o Created high-level flowcharts to visualize LTC processes, providing a comprehensive overview and facilitating process improvements.• Program Evaluation:o Conducted baseline and mid-point data analysis to empirically show the effectiveness of re-engagement programs for recently diagnosed HIV-positive clients, increasing the initiation of clients for Partner Services by 35%.

Baltimore, Md, Us

-Implemented venue-based HIV testing among African-American men who have sex with men (AAMSM), sex workers and injection drug users (IDU’s) in Baltimore City.-Provided HIV negative and positive post-test counseling, as needed.-Researched best-practices for current venue-based HIV prevention strategies targeting AAMSM, sex workers and IDU’s to increase testing numbers. -Developed and maintained effective working relationships with Baltimore City venues and built trust within target communities.

Philadelphia, Pennsylvania, Us

-Independently developed, designed, and implemented a cross-sectional research study investigating risk factors and characteristics of HIV positive patients classified as “not retained” in care at an outpatient HIV/AIDS clinic in the city of Philadelphia. Identified potential factors which increase the likelihood of becoming lost to care among patients. -Identified risks factors which increase the likelihood of HIV progression to AIDS among individuals not retained in care through extensive literature reviews and qualitative data analyses. -Implemented expert knowledge of ethical guidelines in relation to conducting research; and collecting, disseminating, and using data pertaining to vulnerable populations-Participated in quality improvement measures, including qualitative and quantitative data analysis, to improve the effectiveness and efficacy of retention strategies-Utilized SAS Base and SAS/STAT using SAS DATA steps and various SAS PROC Steps to perform Chi-square analysis, for measurements of binary associations; and PROCs MEANS and UNIVARIATE for descriptive statistics and normality test; PROC T-TEST for independent and dependent-samples tests.-Justified the underlying assumptions of t-tests, analysis of variance, analysis of covariance, regression analysis, and correlations analysis while performing specific MODELS as stated above.

Washington, District Of Columbia, Us

-Participated service learning projects within the areas of public health and clinical settings to gain practical knowledge of public health issues affecting the citizens of India.-Completed rotations among government sponsored public health programs, as well as, non-governmental not-for-profit organizations. -Worked as a collaborative team to implement required health initiatives to underserved communities.-Coordinated the administration of harm reduction strategies at local injection drug use drop-in centers in the city-state of Delhi. Activities included monitoring the flow of supplies. -Presented summary of work at USAID poster session where Global Health Fellows Program coordinators, Public Health Science Institute and USAID officials were in attendance.

Atlanta, Ga, Us

-Independently developed a research project assessing vaccination coverage among African American children, ages 19-35 months. -Performed data analysis on the National Immunization Survey (n>24,000) using SAS statistical analysis software. -Conducted extensive literature reviews on the vaccination coverage among African Americans, Native Americans, Latino, and Caucasians in the United States. -Completed extensive literature reviews pertaining to vaccine preventable childhood diseases-Demonstrated how vaccination rates for African American children failed to reach the Healthy People 2010 goal. -Presented research findings to Centers for Disease Control and Prevention employees to give notice to the lack of African Americans children (19-35 months) receiving routine vaccinations.

Master Of Science In Data Science (Msds), Artificial Intelligence And Machine Learning

Master Of Public Health (Mph), Epidemiology And Biostatistics

Bachelor Of Science (B.S.), Psychology