Highly analytical and technically proficient Data Scientist with an MSc in Data Science and a background in Energy and Petroleum Studies. Leverages expertise in data analysis, predictive modeling, and cross-functional collaboration to drive operational efficiency, enhance reliability, and support data-driven decision-making. Passionate about applying advanced analytical and problem-solving skills to improve outcomes across diverse technical and operational environments.
Data Science Lead
Lagos, Lagos State, Nigeria
→
Summary
Led data science initiatives, developing predictive models and data pipelines to align data insights with product and operational goals.
Highlights
Developed and deployed predictive models, utilizing historical data to analyze complex patterns and accurately forecast outcomes.
Engineered robust data pipelines for structured data collection and trend analysis, providing foundational support for data-driven decision-making.
Collaborated with cross-functional teams to align data insights with product and operational goals, enhancing strategic planning and execution.
Enhanced data accuracy and consistency, leading to more reliable forecasting and reporting capabilities across the organization.
Facilitated key progress meetings, ensuring tight alignment of data science project goals with overarching company objectives and timelines.
Co-Developer
Lagos, Lagos State, Nigeria
→
Summary
Collaborated on product development, leveraging data analysis to enhance user interaction and optimize application features for improved engagement.
Highlights
Analyzed user interaction data, identifying key trends to significantly improve product engagement and user experience.
Translated complex data insights into actionable recommendations, collaborating with cross-functional stakeholders to drive product improvements.
Supported data-driven planning and optimization of application features, contributing to enhanced functionality and user satisfaction.
Patient Experience & Data Liaison Officer
Lagos, Lagos State, Nigeria
→
Summary
Managed operational and patient experience data to identify service improvement opportunities and enhance operational efficiency through data-driven insights.
Highlights
Analyzed complex operational and patient experience data, identifying critical service improvement opportunities to elevate patient satisfaction and service delivery.
Developed and implemented comprehensive reports and interactive dashboards, providing real-time insights into patient satisfaction trends and key operational performance indicators.
Supported quality improvement initiatives by delivering data-driven insights, contributing to enhanced service delivery and operational efficiency.
Collaborated effectively with multidisciplinary teams, leveraging analytical expertise to drive decision-making and optimize operational processes.
Prepared and presented quarterly board reports, providing management with data-backed evaluations of operational performance and strategic insights for business growth.
Planning and Performance Analyst
Lagos, Lagos State, Nigeria
→
Summary
Analyzed plant production and operational data, improving efficiency, reliability, and decision-making within the energy sector.
Highlights
Collected, analyzed, and interpreted extensive daily plant production and operational data to inform performance strategies and identify areas for improvement.
Monitored plant performance trends and identified critical performance gaps, supporting initiatives that improved operational efficiency and output.
Assisted in developing preventive maintenance models, enhancing equipment reliability and significantly reducing operational downtime.
Prepared comprehensive operational reports and performance summaries, providing management with data for strategic review and decision-making.
Presented analytical findings clearly and effectively, influencing strategic planning processes and contributing to data-driven decision-making within the plant environment.
→
MSc
Data Science
Grade: Merit
Courses
Machine Learning
Predictive Analytics
Exploratory Data Analysis (EDA)
Classification Models
Statistical Analysis
Feature Engineering
Data Preprocessing
Deep Learning
Recurrent Neural Networks (RNNs)
→
BSc
Energy and Petroleum Studies
Grade: Second Class Upper
Pivot Tables, Data Analysis.
Pandas, NumPy, Scikit-learn.
Dashboards, Power BI, Tableau.
Machine Learning, Deep Learning, Time Series Analysis.
Exploratory Data Analysis (EDA), Statistical Analysis.
Team Leadership, Stakeholder Management.
Operational Metrics, Business Intelligence.
Analytical Thinking, Strategic Planning.
Classification Models, Scikit-learn.
Recurrent Neural Networks (RNNs).
Feature Engineering, Data Cleaning.
Medical Data, Patient Outcomes.
→
Summary
Developed machine learning classification models using Python and scikit-learn for predictive analytics and data-driven decision-making, applying statistical analysis and feature engineering.
→
Summary
Conducted exploratory data analysis and classification modelling on speech and hearing-related datasets to build predictive models for identifying difficult-to-reproduce words in children with hearing loss.
→
Summary
Conducted MSc thesis research applying recurrent neural networks (RNNs) to analyze multimodal audiogram datasets and patient case histories for early detection and identification of potential causes of hearing loss in children under five.