Transforming healthcare data into actionable insights that improve patient outcomes and drive strategic decisions
About Me
I'm Paul Kwesi Dadzie, a Healthcare Data Analyst with over 6 years of experience transforming complex healthcare datasets into actionable insights that improve patient outcomes and reduce operational inefficiencies.
My work spans Medicaid/MMIS claims, eligibility, pharmacy, SPBM data, and electronic health records (EHR) — with deep hands-on experience in systems like eClinicalWorks. I've delivered results across state government agencies, federally qualified health centers (FQHCs), and international clinical settings, building scalable analytics solutions that stakeholders at every level can trust and act on.
Technical Expertise
I work across the modern healthcare data stack — writing production-level SQL, Python, and SAS; building pipelines in GCP, Databricks, Snowflake, Apache Spark, and dbt; and designing enterprise-grade dashboards in Power BI and Tableau that turn dense data into clear, decision-ready intelligence — all with the end goal of driving better patient outcomes and eliminating operational waste.
Predictive Analytics & Clinical Intelligence
I bring proven experience in predictive modeling — applying logistic regression, classification models, and time-series forecasting to identify high-risk patient populations, predict hospital readmissions, forecast Medicaid enrollment trends, and proactively flag care gaps before they impact patient health. I've also led efforts in extracting, transforming, and analyzing EHR data to support HEDIS and CAHPS quality measures, care gap identification, and population health initiatives — ensuring that analytics directly translates into measurable improvements in care delivery and operational efficiency.
What Drives Me
At the core of everything I do is a simple belief: data should save lives and streamline systems. I'm passionate about bridging the gap between clinical data systems and business intelligence — ensuring that the right insights reach the right people at the right time to improve patient outcomes, reduce costs, and eliminate inefficiencies across the healthcare continuum. My foundation in Applied Mathematics and Economics sharpens my approach to statistical modeling and equips me to translate complexity into meaningful, measurable results.
I'm currently open to opportunities where I can leverage my skills to advance healthcare analytics, improve care delivery, reduce operational inefficiencies, and make a tangible impact at scale.
Certifications
- SAS Certified Base Programming (SAS 9.4)
- SAS Certified Advanced Programming (SAS 9.4)
Technical Skills
Technologies and tools I work with
Languages & Programming
Cloud & Data Platforms
BI & Visualization
Analytics & Statistical Methods
Healthcare Domain Expertise
Version Control & Collaboration
Work Experience
My professional journey in healthcare analytics
- Designed and deployed 10+ interactive Power BI/Tableau dashboards, including the agency's first HEDIS/CAHPS, Prior Authorization, and Behavioral Health dashboards, reducing ad hoc reporting requests by 45%
- Engineered and optimized ETL pipelines for Prior Authorization data (10M+ rows) using SAS and SQL, with macro-based automation that reduced pipeline runtime by 60%
- Spearheaded COVID-19 Medicaid enrollment analytics tracking 500K+ members, quantifying pandemic impact (35% enrollment surge), and delivering automated reports that informed $50M+ budget allocations
- Built automated data quality framework with validation scripts, ensuring 99.9% accuracy for $250M+ COVID relief payments and pass-through audit compliance
- Implemented Git-based version control for analytics code, improving collaboration and reducing deployment errors by 30%
- Delivered Tableau dashboards for leadership reviews, reducing ad hoc reporting by 35% and improving decision-making speed
- Cleaned and validated large datasets from eClinicalworks EHR using SQL, improving on-time federal report submissions from 80% to 98%
- Automated weekly clinical quality reports with SAS macros, saving 20+ hours/week and eliminating manual Excel processes
- Performed case management analytics on 15K+ discharge cases, identifying key barriers and contributing to 22% reduction in readmissions
- Extracted and analyzed 340B pharmacy claims data, uncovering prescribing trends that informed 10% expansion in covered entities
- Conducted logistic regression analysis using Python to identify social risk factors affecting treatment outcomes for diabetic patients, leading to new quality improvement initiative
- Built comprehensive chronic conditions monitoring dashboard analyzing 5,000+ patient records across diabetes, hypertension, COPD, and asthma, improving preventive intervention rates by 25%
- Performed statistical analysis using Python to uncover barriers to child developmental milestones, directly informing the rollout of the Healthy Steps Zero to Three program
- Collected, cleaned, and managed patient and program data using Microsoft Excel and Access; achieved 95%+ data completeness with HIPAA/PHI privacy practices
- Performed routine data quality checks (data profiling, duplicate resolution, reconciliation), reducing reporting errors by 20%
- Analyzed clinical and operational metrics using Excel to identify trends and inform program improvement initiatives
- Designed and delivered reports and presentations, cutting decision-making turnaround time by 3 days
Featured Projects
Key analytics initiatives and dashboards that delivered measurable impact
COVID-19 Medicaid Enrollment Analytics
Comprehensive analytics system tracking 500K+ Medicaid members during the pandemic, quantifying enrollment surge and coverage gaps to inform emergency policy decisions.
HEDIS/CAHPS Quality Measures Dashboard
Designed and deployed the agency's first enterprise HEDIS/CAHPS dashboard, providing real-time quality measure tracking and performance benchmarking.
Prior Authorization ETL Pipeline Optimization
Engineered and optimized ETL pipelines for Prior Authorization data processing, implementing macro-based automation for 10M+ row datasets.
Automated Data Quality Framework
Built comprehensive data quality framework with validation scripts and reconciliation checks across source systems for COVID relief payment processing.
Hospital Bed Cleaning & Admissions Dashboard
Operational analytics dashboard enabling EVS leaders and clinical teams to monitor bed cleaning performance, identify delays, analyze workflow patterns, and optimize bed availability.
Diabetes Hospital Readmissions Prediction Model
Machine learning model predicting 30-day hospital readmissions for diabetic patients, enabling early risk identification and targeted care management interventions.
Impact of Health Insurance on Healthcare Outcomes
Comprehensive causal analysis quantifying the impact of health insurance coverage on healthcare utilization, expenditures, and outcomes using advanced causal inference methods on MEPS 2023 data.
Education & Certifications
Academic background and professional credentials
Get In Touch
Let's discuss how I can help with your data analytics needs
Let's Connect
I'm currently open to new opportunities in healthcare data analytics. Whether you're looking for a data analyst to help drive insights from complex healthcare datasets or want to discuss potential collaborations, I'd love to hear from you!
- 6+ years of healthcare analytics experience
- Predictive Analytics & Statistical Modelling
- SAS Certified (Base & Advanced)
- Power BI & Tableau dashboard expert