Omolola Haastrup

Experience

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  The World Bank

  May 2010 - Sept 2020

  Consultant on Youth Employment & Social Support Operation (YESSO) Consultant on National Fadama III Development Project

  • Management Information System Specialist

    Apr 2014 - Sept 2020

  • Management Information System Officer

    May 2010 - Apr 2014
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  National Social Safety-Nets Coordinating Office (NASSCO)

  Nov 2020 - Jun 2024

  Established a comprehensive data and reporting infrastructure using Kobotoolbox, Google Looker Studio and SQL to provide real-time insights into the database that tracks and categorizes 1.2million individuals based on social or demographic criteria, and social welfare programs.Built a robust data governance framework, including standardized data collection protocols and quality control measures, resulting in a 30% improvement in data consistency and reliability.Established an efficient performance monitoring and evaluation system to capture and monitor key performance indicators, resulting in a 150% enhancement in project outcomes within a one-year timeframe.Created comprehensive and impactful reports, visualizations, and interactive dashboards that effectively communicate complex data and insights to project stakeholders and decision-makers to enhance the understanding and utilization of project data for informed decision-making.Collaborated with cross-functional teams, including program managers, researchers, and policymakers, to integrate data analysis into program design, implementation, and evaluation in order to promote a data-driven approach to decision-making and fosters collaboration among project stakeholders.Provided data-driven policy recommendations based on thorough analysis and interpretation of project data. This supports evidence-based policymaking and strengthens the impact of social safety net programs.Trained junior data analysts and project staff, sharing expertise, and building their data analysis skills. This contributes to the development of a strong analytical team and promotes a culture of data-driven decision-making within the project. Show less Designed and implemented a robust MIS system that effectively captures and manages project data related to youth employment and social support programs. This achievement ensures the availability of accurate and reliable information for decision-making.Established systems for seamless data integration from multiple sources, including surveys, registrations, and program databases. This achievement enables efficient data collection, consolidation, and analysis, resulting in improved project monitoring and reporting.Implemented data quality assurance measures to ensure data accuracy, consistency, and completeness. This achievement involves developing data validation checks, cleaning procedures, and regular audits to maintain high-quality data in the MIS.Generating customized reports and analysis tools tailored to the specific needs of project stakeholders. This achievement provides timely and relevant information for monitoring project progress, evaluating outcomes, and informing decision-making.Provided technical support to project staff and stakeholders on using the MIS system effectively. This achievement enhances the capacity of users to navigate the system, input data accurately, and extract meaningful insights for program management.Developed and implemented systems to monitor and evaluate project performance against established indicators and targets. Created user-friendly dashboards and data visualizations that display project performance indicators and outcomes. Implemented data security measures and protocols to ensure the confidentiality and integrity of project data. This achievement involves establishing user access controls, data encryption, and compliance with data protection regulations.Collaborated with project teams, government agencies, and external stakeholders to exchange knowledge and best practices related to MIS implementation and data management. Show less

  • Head, Monitoring & Evaluation/Management Information System

    Feb 2022 - Jun 2024

  • Management Information System Specialist

    Nov 2020 - Jan 2022
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  Infosphere Analytyx

  Aug 2023 - now

  Lead Data Scientist

  Leads comprehensive data analysis to identify subscription barriers, tracking user behavior across digital platform with Google Analytics and using Power BI for KPI measurement and interactive dashboards.Led the design and implementation of A/B tests for subscription prompts and user modifications, resulting in a 20% conversion rate increase for the most engaged free users, and also developed a content recommendation system that boosted user engagement by 35%.Developed and monitored machine learning models with Python to predict subscription likelihood and forecast trends, including subscription churn. These predictive models enabled more targeted and effective marketing strategies, supporting proactive pricing and retention efforts by 30%, and also Implemented sentiment analysis tools that provided real-time feedback on user sentiment and content reception.Transforms raw data into actionable insights, guiding targeted marketing campaigns and cross-departmental strategies.Collaborates with and guides marketing, editorial, and tech teams to integrate data insights into actionable strategies, enhancing overall business performance and market competitiveness.Presents findings using visualization tools (PowerBI and Tableau) and conducts workshops to ensure data-driven strategies are understood and implemented across departments. Show less