RUTH UWANDU

• Eliciting requirements and documenting processes on data analysis projects
• Developing stakeholder’s User stories and acceptance criteria based on expected impacts.
• Creating and designing Tables within Database and ensuring data normalization is achieved.
• Designing Database and modelling using Lucid Chart and SQL designer.
• Develop and manage database schemas to ensure data organization, storage, retrieval, and security.
• Implementing rigorous data quality checks and ensuring data integrity throughout the data analysis process.
• Creating visually compelling Dashboards using Power BI and Tableau for communication of findings to non-technical and technical stakeholders
• Ensuring efficient Project management and implementation using Azure DevOps collaborating tool
• Collaborating and communicating with my Team members to ensure a clear understanding of project expectations using Miro, Zoom, and Microsoft Teams

Eliciting requirements and documenting processes on data analysis projects
Developing stakeholders user stories and acceptance criteria based on expected impacts
Creating and designing tables within database and ensuring data normalization is achieved
Designing database and modelling using Lucid Chart and SQL designer
Developing and managing database schemas to ensure data organization, storage, retrieval, and security
Implementing rigorous data quality checks and ensuring data integrity throughout the data analysis process
Creating visually compelling dashboards using Power BI and Tableau for communication of findings to non-technical and technical stakeholders
Ensuring efficient project management and implementation using Azure DevOps collaborating tool
Collaborating and communicating with team members to ensure a clear understanding of project expectations using Miro, Zoom, and Microsoft Teams

Relocated to the United Kingdom with family
Started and completed master’s degree program in Economics and Finance
Engaged in professional development activities during the break, including attending webinars, workshops, and advanced courses on data analysis

Organized sprint planning with stakeholders to elicit data requirements and gather additional information
Anchored daily stand-ups with team members to discuss project status and document retrospectives
Gathered data through surveys, interviews and APIs related to building company’s database
Ensured data cleansing and transformation using Microsoft Excel to ensure accuracy, consistency, and completeness
Regularly conducted data audits to identify and rectify data inconsistencies, incompleteness and inaccuracies
Conducted in-depth data analysis using SQL and Microsoft Excel to generate insights related to automotive sales and customer behavior
Created visually appealing dashboards, charts, and graphs using Power BI, Tableau, Lucid Chart to communicate analytical findings
Utilized predictive modeling techniques in Excel to forecast future trends in sales and customer demand
Collaborated with cross-functional departments within the organization to align data analysis efforts with business objectives
Led the team that analyzed customer behavior and market trends to propose data-driven changes in sales strategies, resulting in a 30% increase in sales and customer satisfaction and a 20% increase in production efficiency
Conducted customer segmentation analysis, enabling targeted marketing campaigns that resulted in higher response rates and improved marketing ROI

Assisted in collecting, collating, verifying, and updating data from various sources, including surveys, reports, and administrative records
Supported research activities by providing data analysis and insights to assist in the formulation of policies and programs
Carried out analysis to manage and assess policy impacts using predictive modelling techniques
Assisted in monitoring and ensuring the quality and accuracy of statistical data collected and analyzed by following prescribed quality control processes
Effectively communicated data analysis results to colleagues and stakeholders through presentations, reports, and other forms of communication
Maintained accurate and organized records of data sources, methodologies, analysis procedures, and results for future reference and audit purposes
Streamlined survey methodologies and data collection processes, reducing data collection time by 20% while maintaining data integrity and quality
Automated report generation processes, reducing report preparation time by 25% and enabling timely dissemination of analysis findings to decision-makers

Assisted in conducting market research and analyzing competitor data to identify market trends, consumer preferences, and competitive strategies in the tourism and hospitality industry
Assisted in identifying opportunities to streamline operational processes, improve guest experiences, and enhance efficiency based on data analysis
Gathered data from various sources related to tourism and hospitality, including customer bookings, preferences, feedback, and transaction records to build the company database
Maintained thorough documentation of data analysis methodologies, findings, and insights, and prepared detailed reports for management and stakeholders
Analyzed customer feedback and reviews to derive actionable insights, identify areas for improvement, and prepare detailed reports for management to enhance service quality

Organized sprint planning with stakeholders to elicit data requirements and gather additional information.
Anchored Daily stand-ups with team members to discuss project status and document retrospectives.
Gathered data through surveys, Interviews and APIs related to building company’s database.
Ensured Data cleansing and transformation using Microsoft Excel to ensure accuracy, consistency, and completeness.
Regularly conducted data audits to identify and rectify data inconsistencies, incompleteness and inaccuracies.
Conducted in-depth data analysis using SQL and Microsoft Excel to generate insights related to automotive sales and customer behavior.
Created visually appealing dashboards, charts, and graphs using Power BI, Tableau, Lucid Chart to communicate analytical findings.
Utilized predictive modeling techniques in Excel to forecast future trends in sales and customer demand.
Collaborated with cross-functional departments within the organization to align data analysis efforts with business objectives.

Assisted in collecting, collating, verifying, and updating data from various sources, including surveys, reports, and administrative records.
Supported research activities by providing data analysis and insights to assist in the formulation of policies and programs.
Carried out analysis to manage and assess policy impacts using predictive modeling techniques.
Assisted in monitoring and ensuring the quality and accuracy of statistical data collected and analyzed by following prescribed quality control processes.
Effectively communicated data analysis results to colleagues and stakeholders through presentations, reports, and other forms of communication.
Maintained accurate and organized records of data sources, methodologies, analysis procedures, and results for future reference and audit purposes.

Assisted in conducting market research and analyzing competitor data to identify market trends, consumer preferences, and competitive strategies in the tourism and hospitality industry.
Assisted in Identifying opportunities to streamline operational processes, improve guest experiences, and enhance efficiency based on data analysis.
Gathered data from various sources related to tourism and hospitality, including customer bookings, preferences, feedback, and transaction records to build the company database.
Maintained thorough documentation of data analysis methodologies, findings, and insights, and prepared detailed reports for management and stakeholders.
Analyzed customer feedback and reviews to derive actionable insights, identify areas for improvement, and prepare detailed reports for management to enhance service quality.

Eliciting requirements and documenting processes on data analysis projects
Developing stakeholders User stories and acceptance criteria based on expected impacts.
Creating and designing Tables within Database and ensuring data normalization is achieved.
Designing Database and modeling using Lucid Chart and SQL designer.
Develop and manage database schemas to ensure data organization, storage, retrieval, and security.