I specialize in designing cutting-edge machine learning architectures, building predictive models that drive actionable insights, performing in-depth statistical data analysis, implementing math to solve complex problems, structuring robust database designs and efficient management systems and management and delivering scalable, cloud-based solutions tailored to modern business needs.
Big Data & AI @ University of Stirling ↗︎
When I’m not knee-deep in my work, you’ll likely find me jamming to new music, gaming, or binge-watching anime.
MLOps
Experimentation & Model Development
MLOps
MLOps
Feature Registry
MLOps
Model Registry
MLOps
Model Deployment
MLOps
Model Inference
MLOps
Model Monitoring
MLOps
Logging & Analytics
MLOps
IaC
Languages
Programming, Scripting & Database
Object Storage
Database
Relational
OLTP - PostgreSQL, MySQL, SQLite, DuckDB
Data Warehouse - Snowflake, Databricks
Database
Non-relational
NoSQL - Redis, MongoDB
Data Visualization
Software - Tableau, Power BI
Code - Matplotlib, Seaborn, Plotly
Diagramming
Software - Lucid Chart, Visio, Excalidraw
Documentation
Software - Notion, Obsidian
Collaboration
Version Control - Git, GitHub
Software - Slack, MS Teams
Work history
Data Scientist
May 2024 - Present
PremiumTrust Bank
Developed and deployed end-to-end machine learning workflows, leveraging Python for model design, MLOps tools (Docker, MLflow, Feast, Redis) for productionization, and SQL for data extraction. Focused on analyzing customer behavior, improving product offerings, ensuring real-time inference, and automating retraining with robust pipelines for reproducibility, performance, and low latency.
Operations Analyst
Oct 2022 - May 2024
PremiumTrust Bank
Streamlined data ingestion and storage processes for large datasets, consolidating customer transactions, loans, and credit card data for analysis. Collaborated with Data Science teams to analyze spending patterns, detect fraudulent transactions using novelty detection systems, and create advanced SQL queries and Python scripts. Built dashboards to track key banking metrics like loan performance and transaction volumes, offering actionable insights and enhanced visibility into critical KPIs.
Junior Data Analyst
Jan 2022 - Mar 2022
Skyview Capital Limited
Collaborated with senior analysts to ensure accurate financial reporting and uncover stock performance trends. Conducted data quality checks to identify discrepancies and maintain reliable datasets. Created dynamic dashboards and data visualizations in Power BI, making complex financial data accessible and actionable for stakeholders.
Associate Data Analyst
Oct 2019 - Mar 2020
LEE Engineering and Construction Company
Conducted inspections and testing of materials and equipment, ensuring compliance with safety and quality standards. Collected and analyzed project data on performance, efficiency, and resource allocation to support informed decision-making. Prepared detailed reports on metrics, safety incidents, and financial forecasts for stakeholders. Collaborated with teams to leverage data insights for process improvements, enhancing quality assurance and adherence to industry standards.
Engineering Intern
Apr 2017 - Jul 2017
SEEFOR DELTA
Collected and analyzed project data on progress, resource allocation, and outcomes to support evaluations and reporting. Engaged with community members to understand their needs, facilitate proposals, and encourage participation in planning and maintenance. Collaborated with contractors, government officials, and community leaders to ensure alignment with project goals and budgets.
An OLTP database for the Lagos BRT system. Implemented entity-relationship structures, schema architectures and database objects, ensuring optimized query performances, automated processes and enhanced security.
Database
Schema Design
SQL
A supervised predictive machine learning model that assesses the likelihood of forest fires occurring based on prevailing weather conditions and soil moisture content, achieving a model performance of 93% in classifying true positive cases.
MLOps
Machine Learning
Math
A clustering model for customer credit card segmentation to identify distinct customer groups based on spending behaviours and transaction patterns, enabling targeted marketing strategies, enhanced customer engagement and an improved financial decision-making for credit card issuers.
MLOps
Machine Learning
Math
An analysis on the global health indicators including GDP, healthcare spending and staff availability to identify correlations with fistula cases, aiding the "Operation Fistula" initiative, thus providing data-driven insights to guide fundings as well as raising awareness.
Data Analytics
Data Visualization
I’m looking to collaborate on projects in AI and big data, particularly in e-commerce or fintech. I’m open to consulting opportunities, freelance gigs, or full-time roles where I can design impactful solutions.
Feel free to reach out to me at by clicking the link below or connect on LinkedIn. I’d love to hear about your challenges and explore how we can work together!
