Emmanuel Nfor

<p>Design and develop complex Power BI dashboards, scorecards, and visual analytics to support regulatory and operational insights.</p><p> Create, optimize, and maintain robust data models using DAX and Power Query M for enterprise-wide reporting.</p><p> Integrate Power BI solutions with Azure data sources and on-premises databases for seamless data flow.</p><p> Collaborate closely with business users, data architects, and data engineers to manage data pipelines and semantic models.</p><p> Translate business requirements into effective BI solutions, focusing on accuracy, efficiency, and clarity.</p><p> Enable end-user adoption through training, documentation, and ongoing support.</p><p> Handle data security, access controls, and performance tuning within Power BI.</p><p> Conduct trend analysis, anomaly detection, and predictive analytics to identify business opportunities.</p><p> Leverage AI capabilities within Power BI to automate data exploration and insight generation.</p><p> Interpreted and communicated findings to stakeholders for better understanding and business decision-making.</p>

<p>Collaborated on projects by providing statistical and analytic support.</p><p> Used R Software to perform descriptive statistics and create tables, charts and graphs for assigned projects.</p><p> Built interactive and dynamic dashboards for actionable insights using Tableau and Power BI.</p><p> Generated and interpreted data reports and storylines as needed by the team.</p><p> Trained stakeholders to understand dashboards for effective decision making.</p><p> Extracted and updated data from existing databases.</p><p> Supported the creation of quality improvement tools.</p><p> Supported development of new indicators and communicated outputs based upon findings, which may include PowerPoint presentations or executive briefings.</p><p> Worked cooperatively and constructively with internal and external stakeholders.</p>

<p>Managed and validated environmental and water research data using R, ensuring data quality and integrity.</p><p> Prepared and analyzed research datasets to support water and environmental technology projects.</p><p> Developed Statistical Analysis Plans (SAPs) and automated tables, figures, and reports using R and SPSS.</p><p> Applied statistical techniques, including GLM and Cluster Analysis, and Longitudinal to analyze research data.</p><p> Collaborated with multidisciplinary teams to deliver data-driven insights and technical research outputs.</p><p> Implemented data management and quality assurance procedures to improve the accuracy and reproducibility of research results.</p>

<p>Designed and executed research projects, developing study methodologies and data collection protocols to support environmental research objectives.</p><p> Collected, managed, and validated field and laboratory datasets, ensuring data quality, integrity, and consistency throughout the research process.</p><p> Performed quantitative data analysis using statistical methods to identify trends, evaluate outcomes, and generate evidence-based insights for research projects.</p><p> Interpreted analytical results and prepared technical reports, data visualizations, and scientific publications to communicate research findings and support decision-making.</p>

<p>Data Entry, Queries and Analysis, Literature review</p><p> Cleaned, transformed and validated data using Excel</p><p> Retrieved, validated, and analyzed data for reporting and quality improvement</p><p> Prepared team meeting minutes and other administrative duties</p><p> Prepared end-of-year reports and orally presented results to stakeholders</p>