Sheila Murunga

• Spearheaded a data analytics initiative in Northern Ireland, improving high-risk patient identification by 25%.
• ·Secured a competitive Connected Health Innovation Centre (CHIC) grant in NI amidst 1k+ applications
• Contributed data analytics field through conducting comprehensive analyses of statistical methodologies and technologies.
• Improved real-time model accuracy and performance with data confidentiality ensured using GANs for Synthetic Data Generation (SDG).
• Developed, deployed and tested Machine Learning (ML) and Deep Learning (DL) applications on open-source tools like Docker and Kubernetes.
• Enhanced data scaling and processing capabilities using cloud computing tools like AWS.
• Optimized data storage and retrieval processes leveraging tools like PostgreSQL and Apache Hadoop.
• Significantly improved patient risk stratification at triage by 45% through the automated sentiment analysis using NLP algorithms.
• Boosted ETL processes reducing latency time by 10% by harnessing streaming tools like Apache Kafka and Spark with programming tools like Python.
• Streamlined data accessibility, functionality and processing time by 15% with RESTful APIs integration.

• Achieved strategic research, data management, and analysis goals by leading cross-functional teams and overseeing 8+ research projects.
• Effectively managed recruitment and patient follow-up processes by fostering efficient communication channels during COVID pandemic.
• Successfully co-authored 10+ research articles and analytical plans, employing robust statistical methodologies, conducting data analysis and visualisation using R and STATA, and comprehensive reporting.
• Augmented data management processes by 25% by optimising hospital surveillance database systems in hospital sites.
• Enhanced metrics reporting and data query management by 70% through launching automated data products and dynamic centralised dashboards using R.
• Minimised future data errors by 12% by streamlining data quality frameworks and ETL processes through critical evaluation and consultation.
• Streamlined organisational processes by tackling data management and statistical challenges effectively.
• Demonstrated collaborative leadership skills in uniting internal teams, external partners, and committees to achieve data management and statistical objectives.
• Effectively communicated research outcomes through concise and impactful data presentations, emphasizing their relevance to organizational objectives.

Implemented Data Management SOPs and tools, ensuring compliance and confidentiality while coordinating data processes and disseminating research findings. Enhanced privacy and security measures through transitioning to a new database platform and improving data sharing security.

Contributed to Data Management SOPs development, led training sessions on data handling, and supervised field visits for data teams. Enhanced data collection and storage methods by introducing Captricity technology for converting Data Collection Forms into digital data, improving efficiency and accuracy.