Experience

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  Deraz product limited

  May 2018 - Sept 2019

  Project manager

  Managed project documentation, including requirements gathering, testing plans, and compliance approvals, facilitating regular status updates to stakeholders and supporting a smooth project lifecycle.Shaped a clear product strategy and roadmap that kept pace with changing market trends and customer needs, helping our product stand out in a competitive landscape.Led Agile Scrum ceremonies such as sprint planning, reviews, and retrospectives, stepping into roles as needed to ensure smooth progress throughout the software development life cycle.Worked with teams across engineering, marketing, UX,&more, ensuring each product launch was smooth. Show less

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  Seamlesshr

  Jan 2021 - Jan 2024

  Software developer in test

  Developed, incorporated, and maintained modules for the SeamlessHR Talent Management application, aimed at automating and optimizing approximately 90% of talent management processes of over 30 Nigerian companies, utilizing React.js, JavaScript, CSS, and Blade templating. Led and participated in code review sessions with other developers, offering constructive feedback and recommendations to promote a culture of knowledge sharing and high-quality coding, while also reducing the overall length of our sprints by 15%.Achieved 95% test coverage using Cypress ensuring comprehensive validation of software products and meeting high-quality standards.Managed defect resolution effectively through JIRA and Azure DevOps, using Git for version control and fostering strong collaboration with the development team. Show less

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  University of louisville college of business

  Sept 2023 - Jul 2024

  Project manager- data analytics

  Developed and employed Python automation scripts to improve data extraction and processing, aligning with best practices in test data management. This initiative reduced manual data handling time by 80% and increased data processing speed by 40%.Leveraged MySQL database and advanced data analysis techniques to evaluate and enhance data-driven decision-making processes, resulting in a 30% improvement in the efficiency and accuracy of marketing campaign trends report.Enhanced data quality and reliability by implementing rigorous data validation and cleansing processes with Python, leading to a 40% reduction in data discrepancies and errors.Utilized Power BI to create dynamic, interactive dashboards and reports that provided actionable insights to senior management, improving data visualization and accessibility by 40%. Show less