As an AI Researcher, I am at the forefront of exploring and pushing the boundaries of artificial intelligence in the health domain. My role is centred around advanced research and development of AI algorithms and models, with a focus on innovation, problem-solving, and staying at the cutting edge of the field. Key responsibilities include:*Algorithm Development: Design, develop, and refine AI algorithms, including machine learning deep learning, to solve complex problems and enhance system capabilities.*Model Training: Build and train AI models using large datasets, optimizing their performance and accuracy through techniques such as transfer learning and reinforcement learning.*Data Analysis: Conduct in-depth data analysis, leveraging statistical methods and data visualization tools to extract meaningful insights and trends from diverse data sources.*Experimentation:** Plan and execute experiments to evaluate the performance of AI models, refining and iterating on approaches to achieve desired outcomes.*Innovation: Stay up-to-date with the latest research and trends in AI, contributing to the development of novel AI solutions and driving the company's AI strategy forward.*Ethics and Compliance: Ensure that AI research and applications align with ethical and regulatory guidelines, such as data privacy and fairness in AI.*Publication and Presentation: Disseminate research findings through publications, presentations, and knowledge sharing within the AI community.*Continuous Learning: Maintain a commitment to ongoing learning and professional development in the rapidly evolving field of AI.

•Design and deliver training on data science, engineering and analytics.•Involved in mentoring young, aspiring data and technology enthusiasts. I have mentored over 100 enthusiasts through our activities in training, conferences and meetups•Engage in the growth strategy discussions of the company.

As a Data Engineer at Sterling Bank Plc, I have been instrumental in architecting, developing, and optimizing data solutions to drive data-driven decision-making and analytics. My role encompasses a diverse range of responsibilities, aligned with best practices in data engineering and key industry technologies.* ETL Development: Developed robust ETL (Extract, Transform, Load) pipelines using Azure Data Factory and SQL Server Integration Studio and custom Python scripts, ensuring seamless data extraction, cleansing, and transformation.* Data Warehousing: manage high-performance data warehouses to enhance data accessibility and query performance.* Data Integration: Successfully integrated external data sources, APIs, and third-party data providers, augmenting internal datasets for deeper insights and analytics.* Data Governance: Ensured data quality and regulatory compliance by implementing rigorous data quality checks, encryption, access controls, and auditing procedures.* Database Optimization: Optimized database performance for MySQL and PostgreSQL through indexing, partitioning, and backup/restore strategies, ensuring data integrity and reliability.* Collaboration: Collaborated closely with cross-functional teams, including data analysts and business stakeholders, to gather requirements and deliver tailored data solutions, enabling data-driven decision-making.

As a Technology-Based Data Analyst, I specialize in harnessing the power of data to drive informed decision-making and improve operational efficiency in fast-paced, technology-centric environments. My role involves the strategic utilization of data analytics and cutting-edge tools to extract insights, identify trends, and optimize business processes. Key responsibilities include:*Data Analysis: Proficiently analyze large and complex datasets using advanced data analytics tools, such as Python, R, SQL, and data visualization platforms like Tableau or Power BI.*Data Mining: Employ industry-standard data mining techniques to discover hidden patterns, correlations, and anomalies within data, enabling proactive decision-making and process improvement.*Data Visualization: Create insightful visualizations and dashboards to communicate data findings effectively to non-technical stakeholders, facilitating strategic business decisions.*Technical Expertise: Stay up-to-date with the latest technologies, tools, and methodologies in data analysis, ensuring the use of best practices, in-depth analytic thinking and innovative approaches.*Data Integration: Seamlessly integrate data from various sources, including APIs, databases, and third-party systems, ensuring data accuracy and consistency.*Collaboration: Work closely with cross-functional teams, including data engineers, software developers, and business stakeholders, to align data analysis initiatives with organizational goals.*Problem-Solving: Identify data-related challenges and proactively devise data-driven solutions to improve technology systems and optimize performance.*Data Governance: Adhere to data governance best practices, focusing on data quality, privacy, and compliance with industry regulations (e.g., GDPR, HIPAA).*Continuous Improvement: Strive for ongoing process improvement through data-driven insights, fostering a culture of data-driven decision-making within the organization.

As a Senior Content Analyst/Product Owner, I bring a unique blend of content expertise and product management acumen to drive the strategic direction and success of digital products. My role is characterized by an interdisciplinary approach that blends content strategy with product development. Key responsibilities include:*Content Strategy: Develop and execute content strategies to ensure the creation, curation, and delivery of high-quality, relevant, and engaging content that aligns with business objectives and user needs.*Content Analysis: Leverage data-driven insights and analytics to assess content performance, user behavior, and trends, making informed recommendations for content optimization and enhancement.*Product Ownership: Assume ownership of digital products or features, serving as the bridge between stakeholders, development teams, and end-users to define requirements, prioritize features, and ensure product success.*Agile Methodology: Apply Agile principles and methodologies to product development, collaborating with cross-functional teams, writing user stories, and participating in sprint planning and reviews.*User-Centric Design: Champion user-centric design principles, conducting user research, gathering feedback, and integrating user insights into product development to enhance the user experience.*Data Integration: Manage the integration of content and data sources, ensuring accurate and timely information delivery within the product.*Product Roadmap: Develop and maintain product roadmaps, outlining feature priorities, release timelines, and key milestones to align product development with organizational goals.*Market Research: Keep abreast of industry trends, emerging technologies, and competitor products to identify opportunities for product innovation and differentiation.*Business Development: Collaborate with marketing and sales teams to develop strategies for product promotion and contribute to revenue generation.

-I managed the database system containing over 6000 client's data, Updated and created new data points for the company - Managed over 100 volunteers who were involved in the company’sprojects.- Developed monthly financial reports using Excel.- Successfully set up the product and sales inventory for the company, and generated returns in millions of naira during my work period with the organisation.

Managed data gathering and cleaning of health projects across western Nigeria, I was also a part of a team who planned a launch event for a new series of health projects to take place within the northern region of Nigeria.

• I fostered partnerships with organisations to achieve group goals * I co-managed fund raising activities.• I was also responsible for planning out community medical outreaches. We successfully hosted eight community medical outreaches under my leadership • I documented the groups activities through report writing.