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I am a healthcare data professional with a passion for turning Real-World Data (RWD) and Real-World Evidence (RWE) into actionable insights that optimize operations and support evidence-based decision-making in healthcare. I am known for versatility, adaptability, and cross-functional collaboration, delivering high-quality, impactful results in healthcare and data-driven environments by combining clinical knowledge with advanced analytics and machine learning.…I am a healthcare data professional with a passion for turning Real-World Data (RWD) and Real-World Evidence (RWE) into actionable insights that optimize operations and support evidence-based decision-making in healthcare. I am known for versatility, adaptability, and cross-functional collaboration, delivering high-quality, impactful results in healthcare and data-driven environments by combining clinical knowledge with advanced analytics and machine learning.

Arnold Ugwu

Data Scientist, AI Engineer, Data Analyst, +2

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I am a healthcare data professional with a passion for turning Real-World Data (RWD) and Real-World Evidence (RWE) into actionable insights that optimize operations and support evidence-based decision-making in healthcare. I am known for versatility, adaptability, and cross-functional collaboration, delivering high-quality, impactful results in healthcare and data-driven environments by combining clinical knowledge with advanced analytics and machine learning.…I am a healthcare data professional with a passion for turning Real-World Data (RWD) and Real-World Evidence (RWE) into actionable insights that optimize operations and support evidence-based decision-making in healthcare. I am known for versatility, adaptability, and cross-functional collaboration, delivering high-quality, impactful results in healthcare and data-driven environments by combining clinical knowledge with advanced analytics and machine learning.

Available to hire

I am a healthcare data professional with a passion for turning Real-World Data (RWD) and Real-World Evidence (RWE) into actionable insights that optimize operations and support evidence-based decision-making in healthcare.

I am known for versatility, adaptability, and cross-functional collaboration, delivering high-quality, impactful results in healthcare and data-driven environments by combining clinical knowledge with advanced analytics and machine learning.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Work Experience

Generative AI Trainer at RWS Group

June 1, 2025 - June 1, 2025

Performed data annotation and segmentation across text, image, and structured datasets to support AI/ML model training. Adhered to established guidelines and labeling protocols to ensure consistency, reproducibility, and high-quality outputs. Improved dataset reliability by 25% through precise handling of domain-specific terminology and reducing annotation errors. Executed QA checks including bias detection, error review, and validation, strengthening trustworthiness of training data. Collaborated with cross-functional teams to refine annotation workflows and documented best practices for scalability.

Clinical Documentation Specialist at Oak Street Health

August 1, 2024 - August 1, 2024

Led documentation optimization initiatives using hierarchical categorical coding (HCC) and risk adjustment models, ensuring precise documentation that enhanced patient care quality and improved reimbursement accuracy. Accessed and reviewed HIE/EMRs with real-world data, identifying overlooked cases and increasing condition detection rates by 20%. Analyzed chronic condition prevalence and recommended targeted interventions, applying evidence-based strategies to reduce costs and improve patient outcomes across multiple populations. Directed process improvements using Greenway, Canopy, Google Sheets, and Excel to streamline workflows and cut administrative inefficiencies by 30%, boosting data accuracy for risk models.

Medical Transcriptionist at Campbell Health Solutions

March 1, 2024 - March 1, 2024

Documented patient encounters in real-time with HIPAA compliance, ensuring accurate medical records. Validated and audited EMR data (Epic), reducing billing discrepancies by 15% through improved ICD-9/10 coding accuracy. Recommended workflow improvements that cut documentation errors by 25% and eliminated 40% of recurring system issues via defect triage. Built Tableau dashboards and Excel reports to highlight KPIs, denial trends, and outcomes for senior management. Collaborated cross-functionally in biweekly meetings to implement service improvements that elevated patient satisfaction.

Online Data Analyst at Telus International

February 1, 2023 - February 1, 2023

Conducted online research utilizing search engines, online maps, and website information to gather relevant data. Validated findings and ensured quality assurance checks for different data task types such as Maps, Geo, Text, News, Audio and Image data. Developed data visualizations using Tableau and Excel to present research insights effectively. Implemented data review processes with a focus on optimizing AI training accuracy for diverse machine learning models.

Research Analyst at Southern Illinois University Medical School

May 1, 2022 - May 1, 2022

Quantified, analyzed, and interpreted multivariate relationships in next-generation sequencing data using MATLAB. Utilized MS Excel for data cleaning, transformation, and formatting with advanced functions such as VLOOKUP and XLOOKUP. Collaborated with research staff on data collection and statistical analysis methods. Achieved 95% accuracy for including data checks, validations, and metrics definitions in genomic techniques. Created visualization reports and findings using Tableau and Excel. Analyzed and synthesized scientific literature. Participated in monthly meetings to review project status and develop future action plans.