Cletus Inalegwu

Data & Product Deployment Lead at ThriveAgric
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Contact Information
us****@****om
(386) 825-5501
Location
Abuja, Federal Capital Territory, Nigeria, NG

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Experience

    • Nigeria
    • Food and Beverage Manufacturing
    • 200 - 300 Employee
    • Data & Product Deployment Lead
      • Mar 2022 - Present

      1. Product deployment planning: Worked closely with cross-functional teams, including developers, designers, and product/ project managers, to plan Agricultural Operating System (AOS) deployment process. Define objectives, identify key milestones, and create roadmap that aligns with the overall product development strategy.2. Deployment automation: Implement and manage deployment automation processes, such as continuous integration/continuous deployment (CI/CD) pipelines, to streamline the deployment process and enable efficient and frequent releases. Automate testing, build processes, and deployment steps to minimize errors and reduce time-to-market.3. Deployment monitoring and optimization: Set up monitoring systems to track the performance of the deployed application, including data processing, system responsiveness, and user engagement. Analyze usage patterns, user feedback, and performance metrics to identify areas for improvement and optimize the application's performance and user experience.4. User training and support: Collaborate with the product team to develop training materials, user guides, and tutorials to assist users in understanding and effectively utilizing the AOS data-driven features. Provide ongoing support to address user inquiries and technical issues related to data management and product usage.5. Collaboration and communication: Foster effective communication and collaboration with cross-functional teams, stakeholders, and external partners involved in the product deployment process. Coordinate efforts, resolve conflicts, and ensure alignment between data requirements and product development goals.6. Data quality assurance: Implement data validation and quality control processes to ensure the accuracy, consistency, and reliability of the data. This may include data cleansing, anomaly detection, and data validation techniques to minimize errors and ensure high-quality data for analysis and decision-making. Show less

    • Senior Data Analyst
      • Mar 2020 - Mar 2022

      I handle general database managementI ensure the security and integrity of smallholder farmers data from recruitment to input distribution till harvest.I handle data entry of payments and analyse deficiencies between data entered and money paid in the bank.

Education

  • Kwame Nkrumah'​ University of Science and Technology, Kumasi
    Bachelor of Science - BS, Computer Engineering
    2013 - 2017

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