Highly accomplished and results-oriented professional with a unique blend of expertise in global research, data science, and software engineering. As Deputy Director of Global Research, I lead strategic initiatives, manage complex research projects, and drive evidence-based decision-making to address critical global challenges. My background includes significant experience in developing advanced machine learning models for public health applications and building robust backend systems. Passionate about leveraging technology and data insights to create impactful solutions and foster global development.
Deputy Director Of Global Research
Summary
Oversees the design, execution, and dissemination of impactful research aligned with the foundation's mission to reduce extreme poverty through education in the global south. Drives strategic planning, leads teams, and implements evidence-based decision-making to enhance program outcomes and global advocacy.
Highlights
Led a groundbreaking, cross-functional study, 'Predicting the Impact of Climate Change on Malaria Transmission in Lagos,' utilizing advanced climate models and epidemiological data to forecast malaria trends and inform public health planning.
Provided actionable insights that underscored the interconnectedness of climate change and disease dynamics, contributing to evidence-based policy recommendations for public health.
Directed strategic planning and oversight for global research initiatives, ensuring alignment with the foundation's mission and maximizing societal impact.
Cultivated and led high-performing research teams, fostering a collaborative environment and driving impactful project execution.
Software Engineer
Summary
Contributed to the development and enhancement of software applications, focusing on scalable and efficient solutions.
Highlights
Developed and implemented new features for core software products, improving system performance and user experience.
Collaborated with cross-functional teams to identify technical requirements and deliver robust software solutions.
Backend Engineer
Summary
Designed and maintained robust backend systems, ensuring high availability and data integrity for various applications.
Highlights
Engineered scalable API endpoints and database schemas, optimizing data flow and application responsiveness.
Implemented secure and efficient backend logic, supporting frontend functionalities and enhancing overall system reliability.
Native
Python, JavaScript, SQL, R.
TensorFlow, Scikit-learn, Pandas, Numpy, Matplotlib, Seaborn, OpenCV, Convolutional Neural Networks, Data Analysis, Predictive Modeling, Epidemiological Analysis.
Backend Development, API Design, System Optimization, Scalable Solutions.
Global Research, Strategic Planning, Evidence-Based Decision Making, Public Health Planning, Epidemiology, Disease Modeling.
Technical Writing, Team Leadership, Project Management, Global Advocacy.
Social Determinants of Health, Healthcare Access, Global Health.
Public Health, Oncology, Epidemiological Research.
Diabetes, Alzheimers, Disease Management, Public Health.
Epidemiology, Disease Control, Global Health.
Predictive Analytics, Mathematical Modeling, Epidemiological Models.
Summary
Applied Machine Learning (ML) to revolutionize healthcare by enabling precise, data-driven diagnoses and tailored treatments for malaria detection. Utilized the Random Forest algorithm on a clinical dataset to improve diagnostic accuracy.
Summary
Applied queuing theory to model healthcare wait times using Python, aiming to improve service efficiency at a medical center.
Summary
Explored the perceived influence of AI and Machine Learning in the early detection of Diabetic Retinopathy among ophthalmologists in Lagos State.
Summary
A personal journaling application built with JavaScript for a faith-based merchandise company, Christ-in-vogue.