Experience

• 

  Ladoke akintola university of technology

  Jan 2015 - Sept 2019

  Applied research scientist | data analyst

  • Executed comprehensive research and analytics projects on healthcare diagnostics, notably Chronic Disease prediction, achieving 96.54% model accuracy.• Designed and implemented robust ETL pipelines using Apache Spark and Airflow, significantly enhancing the efficiency of data workflows.• Deployed scalable machine learning solutions to cloud environments (AWS and Azure), ensuring real-time analytics capabilities.• Conducted extensive exploratory data analysis, leading to the identification of previously unrecognized risk factors for chronic diseases.• Implemented rigorous data governance frameworks ensuring compliance with data quality standards and medical ethics guidelines.• Authored scientific publications based on advanced analytical methodologies, contributing significantly to institutional reputation.• Delivered strategic insights by developing comprehensive data visualizations and interactive dashboards using Matplotlib and Seaborn, significantly improving stakeholder clarity and decision-making.• Led cross-disciplinary research teams in machine learning applications, enhancing interdisciplinary collaboration and research outcomes.• Developed predictive models to forecast patient outcomes, improving clinical decision-making processes by 30%. Show less

• 

  Koladaisi university, department of mathematics and computer sciences

  Oct 2019 - Apr 2023

  Senior data scientist | research analyst

  • Led the AI-driven diagnostic research initiative for Chronic Kidney Disease (CKD), achieving 99.38% prediction accuracy.• Built and refined ranking algorithms for health content platforms, increasing click-through rate by 23%.• Developed advanced ranking and recommendation algorithms that increased online user engagement by 40%.• Created and optimized sophisticated statistical models using Python and SQL, supporting academic research outcomes.• Led comprehensive studies in predictive analytics and big data integration, generating actionable insights for institutional decision-making.• Managed large datasets, executing data quality and integrity audits which significantly improved data reliability by 35%.• Published multiple peer-reviewed papers, strengthening institutional research output in areas of AI, predictive analytics, and data governance.• Applied machine learning to educational performance data, identifying critical factors influencing student success and retention rates.• Integrated AI ethics and responsible data usage guidelines, ensuring alignment with academic research standards and ethical guidelines.• Trained academic staff in modern analytical methods, driving a cultural shift toward data-driven decision-making processes.• Conducted rigorous evaluations and peer reviews for journals, contributing to the global academic community’s standards of data science research. Show less

• 

  Precious cornerstone university

  May 2023 - Aug 2024

  Lead data scientist | ai researcher

  • Spearheaded research in deep learning and predictive modeling to optimize agricultural crop irrigation, achieving a 25% reduction in water waste.• Built predictive models using TensorFlow, Python, and scikit-learn, resulting in an irrigation strategy that improved crop yields by 20%.• Conducted extensive data experimentation and analysis for model validation, ensuring robust results publication in peer-reviewed journals.• Developed and managed robust ML pipelines and ETL processes, ensuring reliable data extraction and model deployment in production.• Established and maintained data governance and compliance protocols, securing sensitive healthcare data in accordance with international standards.• Published multiple research articles in reputable journals, enhancing institutional reputation in data science and AI fields.• Delivered presentations to technical and non-technical stakeholders, facilitating knowledge transfer on complex scientific methodologies.• Ag. Head, Department of Computer Sciences: Managed departmental resources and represented the department at the university level. • Ag. Director of ICT Unit: facilitated partnerships and training programs, raising over 400,000 CAD via Google for Education.• Delivered lectures on advanced topics such as AI, machine learning, cryptography, and software engineering, integrating real-world applications to over 1,000 students to enhance student learning.• Mentored junior data scientists and research assistants, significantly increasing institutional data analytics capabilities.• Mentored and supervised 10+ undergraduate research projects, leading to successful thesis completions and publications. Show less

• 

  Grenivic consulting

  Oct 2024 - now

  Senior consultant, data science | ai risk governance

  • Developed and deployed advanced machine learning models and predictive analytics to solve strategic business challenges, achieving a 35% improvement in decision-making efficiency.• Conducted in-depth statistical analysis and data mining projects, identifying trends and patterns leading to enhanced operational strategies.• Designed comprehensive AI risk governance frameworks ensuring compliance with regulatory standards (GDPR, OSFI, SOC 2).• Led cross-functional teams in executing data-driven projects, facilitating improved client data maturity levels by 40%.• Delivered client training workshops on AI ethics, responsible AI, and data privacy compliance, boosting organizational risk awareness.• Guided organizations in designing and implementing robust data governance policies, significantly reducing data quality issues by 30%.• Performed detailed risk assessments on AI models and data infrastructures, mitigating potential biases and ethical risks.• Delivered strategic insights to senior executives by clearly communicating analytical findings through effective visualizations developed using Matplotlib and Seaborn.• Implemented real-time analytics solutions to track key business indicators, supporting rapid response to market changes. Show less