Emilienne Nama

• Design and implement research methodologies including systematic reviews, secondary data analysis, and survey-based studies.
• Conduct advanced statistical analysis using SPSS, SQL, and Excel to generate evidence for healthcare decision-making.
• Lead and support end-to-end public health and healthcare research projects across multiple datasets and client organisations.
• Contributed to the development of research protocols, shaping study design, objectives, and data collection frameworks to ensure robust research outcomes.
• Collaborate with multidisciplinary teams including data scientists, clinicians, and project stakeholders .
• Prepared research outputs, including reports, presentations, and evidence summaries, to effectively communicate findings to internal and external stakeholders.
• Translate complex analytical findings into actionable insights for healthcare improvement and policy decisions
• Support ethical research practices, ensuring compliance with data governance and confidentiality standards.
• Attended conferences to gain insights into emerging research and presented findings to enhance knowledge sharing.

Engaged in data analysis activities to support project goals.

• Delivered remote analytical support for mental health and healthcare datasets, enhancing data-driven decision-making.
• Cleaned, organised, and analysed patient and service data, enabling operational and clinical insights for effective strategy development.
• Supported evidence-based decision-making through structured data interpretation
• Created reports and dashboards that facilitated comprehensive service evaluation and informed improvement initiatives.
• Streamlined data collection methodologies, reducing time spent on data entry and increasing data quality.
• Worked independently within remote teams, ensuring timely delivery of analytical outputs.

• .Analysed large-scale healthcare datasets to improve patient outcomes and operational efficiency.
• Analysed large datasets to identify trends, anomalies, and opportunities for business improvements.
• Conducted exploratory data analysis and predictive modelling to identify trends and patterns Used.
• SQL and Excel to extract, clean, and transform complex datasets
• Built interactive dashboards using Power BI and Tableau for stakeholder reporting.
• Designed and implemented dashboards and reports to visualise data for easy interpretation by non-technical users.
• Presented analytical findings to both technical and non-technical stakeholders
• Collaborated with IT and healthcare teams to streamline data infrastructure and enhance reporting systems.

• Conducted statistical analysis to support marketing campaigns, resulting in a 15% increase in customer engagement.
• Supported data cleaning, transformation, and analysis, enhancing accuracy and reliability of datasets.
• Contributed to development of automated reporting tools, streamlining data processing workflows.
• Presented findings from internship project to leadership team, contributing to strategic decision-making.

• Coordinated clinical research projects, ensuring regulatory compliance and adherence to ethical guidelines, enhancing study integrity.
• Coordinated multi-centre research studies, utilising project management skills to foster collaboration among diverse stakeholders, improving study outcomes.
• Managed and analysed research data, facilitating publication of findings in reputable journals, advancing knowledge in the field.