Profile Summary
Dynamic Data Scientist, Full Stack Machine Learning Engineer, and Cloud Solutions Architect with a passion for transforming data into actionable insights that fuel business growth. Backed by 9 cloud certifications, I specialize in architecting robust, scalable cloud infrastructures and delivering end-to-end ML pipelines that drive impactful outcomes. Adept at crafting precise AI prompts to unlock nuanced responses from advanced models, I’m committed to pushing the boundaries of AI research and innovation to create real-world value.
Education (Selected)
- MSc in Data Science (with Advanced Practice) Northumbria University, Newcastle, United Kingdom 2021 – 2023
- B.ENG in Petroleum Engineering Federal University of Technology, Owerri, Nigeria 2009 – 2014
Technical Skills (Selected)
- Languages: Python, R, SQL, HTML/CSS, PHP, SAS, MATLAB, Java
- Developer Tools: Generative AI, GitHub/GitLab, Docker, Terraform, Selenium, Beautiful Soup, Automation
- Cloud Technologies: Amazon EC2, Lambda, Amplify, Amazon RDS, Amazon Route53, Amazon S3, SageMaker, Amazon CloudFront, Amazon DynamoDB, Amazon Redshift
Work Experience (Selected)
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Data Scientist | Contract
September 2024 – Present, United Kingdom
- Developing a full-stack tool to analyze brands for anti-racism practices by scraping publicly available data.
- Organizing and sorting large amounts of data to help consultants quickly understand findings.
- Collaborating with the team to build a prototype for testing and refining the tool based on feedback.
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AWS Intern | Primed Talent UK
August 2024 – November 2024, United Kingdom
- Designed secure, high-performing, and scalable systems on AWS, adhering to best practices from the Well-Architected and Cloud Adoption Frameworks.
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Freelance | Upwork
July 2023 – Present, United Kingdom
- Led AI/ML projects focused on cardiovascular disease prediction and developed tools like the CVD Prediction AI BOT and HeartFuel NutriGuide for dietary management.
- Tutored Data Science with an emphasis on practical applications and conducted research on predicting Amazon product ratings using deep learning techniques.
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Business Analyst Manager | St. Louis Production Plant
January 2017 – October 2021, Nigeria
- Used AI technologies, including Machine Learning algorithms and time series analysis, to analyze markets, identify trends, and customer behavior, guiding data-driven campaign strategies and predictions.
- Analyzed consumption patterns, developed inventory forecasting models, and achieved a significant 50% reduction in stock shortages.
Projects (Selected)
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Smart Project Management Assessment System | August 2024 | Link
- Streamlines project planning using LLM and prompt engineering to automate scheduling, resource allocation, and task management for optimal efficiency.
- Facilitates real-time project assessment with advanced analytics and dashboards that monitor progress, identify risks, and provide actionable insights.
- Hosted on Streamlit and version-controlled via GitHub, ensuring easy deployment, collaboration, and continuous improvement of the project management system.
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Host a Dynamic Web App on AWS with Terraform, Docker, Amazon ECR, and ECS | July 2024 | Link
- Deployed a dynamic web app on AWS using Docker for containerization and Terraform for infrastructure as code, ensuring efficient provisioning.
- Used Amazon ECR to securely store Docker images, integrating seamlessly with Amazon ECS for container orchestration.
- Implemented CI/CD pipelines to automate deployments, enabling rapid updates and consistent delivery while ensuring high availability.
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Advanced AWS Project: Development of a Multi-Tier, Highly Available, and Fault-Tolerant Web Application | April 2024 | Link
- Spearheaded the design and implementation of a robust multi-tier architecture, enhancing scalability and maintainability while adhering to best practices in cloud application development.
- Engineered high availability and fault tolerance within the application infrastructure by utilizing AWS services such as Amazon EC2, Elastic Load Balancing, Amazon RDS, Amazon Route 53, AWS Certificate Manager (ACM), and Amazon CloudWatch, ensuring seamless performance and resilience against potential disruptions.
- Collaborated with cross-functional teams to integrate advanced monitoring and automated recovery solutions, optimizing operational efficiency and user experience.
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AWS AI Projects | March 2024 | Link
- Developed a Daily Task Scheduler Application using Amazon PartyRock, focusing on widget modification and publishing.
- Created an Image Labels Generator using Amazon Rekognition, involving S3 setup, AWS CLI configuration, and function definition.
- Developed a Text Narrator using Amazon Polly, including IAM role creation, S3 bucket setup, and Lambda function implementation.
- Built a Language Translation Bot using Amazon Lex, successfully completing all project requirements.
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A Comparative Analysis for Predicting Cardiovascular Diseases Using Machine Learning and Deep Learning Approaches | January 2023 – May 2023 | Link
- Evaluated machine learning and deep learning methods for cardiovascular disease prediction.
Certificates (Selected)
- AWS Certified Machine Learning Engineer – Associate & AWS Certified Machine Learning Engineer - Associate Early Adopter | Link
- AWS Certified SysOps Administrator – Associate | Link
- AWS Certified AI Practitioner & AWS Certified AI Practitioner Early Adopter | Link
- AWS Certified Data Engineer – Associate | Link
- AWS Certified Developer – Associate | Link
- AWS Certified Solutions Architect | Link
- AWS Certified Cloud Practitioner | Link
- Azure Cloud Fundamentals (AZ-900) | Link
- Oracle Foundation Associates | Link
- Data and Specimen Research | Link
Membership
- Association of Data Scientists
- Association of Computing Machinery
- Royal Statistical Society – Data | Evidence | Decisions
References
Available on Request