RUNYI FRANCIS
I am a Data Analyst and Lecturer in Statistics with over 8 years of experience spanning the academic sector and applied data analysis. I hold a PhD in Statistical Modelling and Applied Statistics, with strong expertise in data collection, data cleaning, exploratory and inferential analysis, statistical modelling, and result interpretation.
My professional work bridges theory and practice—leveraging tools such as Python, R, SQL, Excel, Tableau, and BI platforms to extract insights, inform decision-making, and solve real-world problems across research, education, and industry contexts. As an academic, I am deeply committed to teaching, mentoring, and translating complex statistical concepts into practical, actionable knowledge.
About Me
Data Analyst | Professional Summary
Developing With a Passion While Exploring The World.
I am a detail-oriented and analytical Data Analyst with a strong background in data quality management, reporting, and process improvement across healthcare, academic, business, and public sector environments. With over five years of experience working with complex datasets, I specialize in transforming raw data into meaningful insights that support informed decision-making and operational efficiency.
Driven by a strong commitment to confidentiality, compliance, and continuous professional development, I thrive in fast-paced, regulated environments where precision and accountability are essential. I am passionate about using data to solve problems, improve processes, and deliver measurable value to organizations.
I have hands-on experience using Excel, Power BI, and basic SQL to clean, analyze, and visualize data, ensuring accuracy, consistency, and compliance with organizational standards. I am highly skilled in monitoring data integrity, identifying trends, and producing clear, actionable reports for both technical and non-technical stakeholders.
Data Analyst with a strong foundation in data quality, reporting, and analytics, experienced in Excel, Power BI, and SQL. Passionate about transforming data into insights that drive informed decisions and process improvement.
What Services I'm Providing
I help organizations make better decisions by analyzing, cleaning, and visualizing data to uncover meaningful insights and improve performance.
Data Analysis & Statistical Consulting
I provide end-to-end analytical support, including:
- Research-driven data collection and survey design.
- Data cleaning, transformation, and exploratory analysis
Advanced statistical analysis for business, health, and social science data - Clear interpretation of results for both technical and non-technical audiences
Advanced Statistical Modelling
Grounded in my PhD research and peer-reviewed publications, I offer:
- Regression modelling (linear, generalized, quantile, and count data models).
- Model development, diagnostics, validation, and comparison
- Custom statistical solutions for complex real-world problems
- Evidence-based model reporting aligned with academic and industry standards
Research & Academic Consulting
I support:
- Postgraduate students (MSc & PhD) and academic researchers
- Statistical analysis for theses, dissertations, and journal papers
- Methodology development and result interpretation
- Manuscript-ready statistical reporting using LaTeX and journal formats
Data Science & Machine Learning Applications
I apply data science techniques with strong statistical rigor:
- Classification and regression modelling
- Predictive analytics for applied decision-making
- Combining machine learning with interpretable statistical models
- Reproducible analysis workflows using R and Python
Training, Teaching & Capacity Building
As an experienced lecturer and trainer, I deliver:
- Statistics and data analytics training (beginner to advanced levels)
- Practical workshops in R, Python, SPSS, Excel, SQL, and Tableau
- Research-focused training for academic and institutional staff
Work Experience
- Collected, cleaned, and validated structured datasets from multiple sources to ensure accuracy, consistency, and reliability for analysis and reporting.
- Analyzed and interpreted business and customer data using SQL, PostgreSQL, Power BI, and statistical methods.
- Built interactive dashboards to communicate insights and performance metrics to stakeholders.
- Applied statistical analysis and data modeling techniques to support evidence-based decisions.
- Translated complex data into clear, business-focused insights.
- Supported continuous improvement initiatives by identifying data gaps, quality issues, and opportunities for enhanced analytics.
- Maintained high data quality standards by interrogating and validating institutional datasets using Excel and R.
- Developed and managed dashboards and reports to support Enhanced Service submissions and audit requirements.
- Monitored and coded student registers, ensuring accurate and up-to-date records for compliance and reporting.
- Collaborated with administrative teams to address data queries and improve coding accuracy.
- Ensured strict adherence to confidentiality protocols when handling sensitive student and staff information.
- Provided training and support to new staff on data management best practices and compliance requirements.
- Automated and optimized monthly reporting processes, reducing turnaround time by 40% and improving data accuracy.
- Built and maintained operational dashboards using Power BI and Tableau to support audit and research activities.
- Monitored generic email accounts and managed unallocated tasks in the absence of team members.
- Collaborated with HR, Procurement, and Finance to ensure timely and accurate data submissions for compliance and Enhanced Service reporting.
- Ensured data privacy and compliance with organizational policies in all reporting activities.
- Applied statistical analysis and reporting tools to support institutional audits and research projects.
- Maintained and updated disease and student performance registers, ensuring data accuracy and compliance.
- Facilitated effective communication between academic departments to resolve data quality issues.
- Participated in the development and delivery of training modules on data entry, coding, and confidentiality for new staff.
- Supported the implementation of institutional policies on data protection and health & safety.
- Collected, validated, and analyzed cross-border remittance data, ensuring data quality and integrity for national reporting.
- Collaborated with policy teams to standardize data collection and reporting formats, supporting audit and compliance initiatives.
- Maintained strict confidentiality and adhered to data protection policies when handling sensitive financial information.
- Conducted field-level data collection and verification, achieving 95% data integrity for digitization projects.
- Standardized property data formats and collaborated with administrative teams to improve reporting accuracy.
- Ensured compliance with confidentiality and data protection protocols throughout the data management process.
- Designed and implemented structured data capture tools to monitor household consumption patterns.
- Trained enumerators on digital data entry and ensured adherence to data quality assurance processes.
- Analyzed and reported on preliminary consumption trends, supporting policy planning and audit requirements.
- Developed and implemented forecasting models to analyze sales and revenue trends, supporting audit and compliance activities.
- Generated regular reports using Excel and Power BI, ensuring data accuracy and timely submission.
- Collaborated with operations to optimize stock management and improve workflow efficiency.
- Collected, cleaned, and structured workforce data from government agencies, contributing to annual reporting and audit processes.
- Assisted senior analysts in preparing and visualizing data, improving reporting turnaround by 30%.
- Ensured accuracy and confidentiality of staff records across federal institutions.
Education
University of Port Harcourt – Nigeria.
(University of East London)
University of Calabar | Calabar
Publications
Certification and Licenses
My Portfolio
Each project showcases my approach to solving real-world problems using data, from data preparation and analysis to visualization and insight generation using tools such as Excel, Power BI, and SQL.
What My Clients Says
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Stay In Touch
I’m always open to connecting, collaborating, or discussing new opportunities in data analytics. Feel free to reach out if you’d like to work together, ask a question, or simply start a conversation.