Define key performance indicators (KPIs) to measure the effectiveness of data management initiatives and track progress to monitor the data quality and governance objectives.Periodic presentation of the data quality scorecard to senior management.Conducted regular data quality assessments and generated reports to communicate findings and recommendations.Used Power BI to create dashboards and reports that highlight data quality metrics.Troubleshoot data quality issues and work with IT and data governance teams to resolve them.Perform Flow-station Operations; monitoring the consistency, validity and accuracy of critical data elements like Flow-rate, Pressure, Temperature, and Level in the vessels.Determination of Technical Allowable Rate (TAR) to ensure compliance with statutory regulatory standards.Preparation of Daily, weekly and monthly production data reports.Monthly Production Data Reconciliation to resolve any inconsistency in reported figures.

Foundational Skills Training Programme facilitated by IHRDC

Facilitated the creation and continuous implementation of a data governance framework which included identification and training of Business Owners and Data stewards within the organization.Collaborated with the Data Steward, Data custodian and Procurement team, to generate a Request for Information (RFI) and Request for Quote (RFQ) which was sent to the developers of the data governance tool (Collibra and Informatica).Developed and maintained data policies, standards, and guidelines in collaboration with key stakeholders.Conducted data lineage analysis to ensure data quality, accuracy, and consistency across the organization.Defined data quality rules and developed monitoring processes to ensure ongoing data quality.

Liaising with Data owners, Data stewards and Data users to understand their data quality requirements and issues.Development of a data quality Issue Management framework using the FIRM (Find, Investigate, Remediate, Monitor) approach.Liaised with the Data Analyst and Data Architect while doing data profiling and root cause analysis to resolve Data Quality issues resulting from periodic Data Quality audits.Liaised with the Data Governance Manager to review and implement new policies and standards to prevent data quality issues.- Product propensity predictive modeling- Analysis of Airtime Recharge via USSD- Development of a dashboard for monitoring users' transactions and other activities.

- A 6-weeks intensive training on SQL, Python, R, ETL/SSIS, and UI/UX, Angular, Node JS, JavaScript,.- A hackathon project on Customer LifeTime Value. - Banking and it's regulatory activities.

Monitor and manage the processes around the documentation of business metadata and technical metadata in the business glossary and data dictionary respectively, including data definitions, and data classification (identification of sensitive data).Worked with Data Stewards to Identify the Critical Data Elements.Pipeline Engineering:-Pipeline critical data route identification.-Determination of pipe size.-Steady & transient state pipeline analysis.