Data Scientist | Engineering Background

Turning Data IntoActionable Insights

I build analytical and data-driven solutions that help organizations make informed decisions. With a foundation in chemical engineering, I bring structured problem-solving and systems thinking into every project.

View Projects Contact Me

Featured Projects

A focused selection of analytics and engineering-informed projects built around real problem solving.

Energy Data Science

SPE DSEATS Datathon: Oil Presence Prediction & Physics-Informed ML

Engineered machine learning and domain-aware physics-informed models for the SPE DSEATS Africa 2026 Datathon to predict subsurface hydrocarbon presence from petrophysical datasets.

Formulated a dual-track submission strategy blending Gradient Boosting with physics-constrained SVM modeling, lithology-driven KNN imputation, and physical boundary clamping.

Machine LearningPythonGeosciencePhysics-Informed MLScikit-Learn

Predictive Analytics

Multi-Target LPG Price Prediction & Market Intelligence System

Developed a robust Multi-Target Machine Learning system for predicting LPG (cooking gas) retail prices across Nigerian states using macroeconomic indicators, seasonal context, and geographical features.

Achieved an average test R² of 0.9565 across three targets and deployed an interactive Streamlit web application enabling localized live price estimates.

Machine LearningPythonStreamlitData Science

Petroleum Engineering Analytics

PetroTech Well Production Simulator & Decline Curve Analysis

Interactive oil and gas production forecasting system and computational engine implementing Arps' Exponential Decline Curve Analysis (DCA) for single and multi-well asset evaluation.

Automated annual rate decline simulations, cumulative hydrocarbon recovery calculations, and multi-well comparative visualizations for field development planning.

PythonPetroleum EngineeringDCAData VisualizationNumerical Modeling

Skills & Expertise

A combination of analytical, engineering, and technical skills focused on solving real-world problems through data.

Data & Analytics

PythonPower BITableauExcelSQLData Visualization

Exploratory analysis, dashboarding, insight generation, and clear analytical storytelling.

Engineering

Process AnalysisHeat TransferFluid MechanicsExperimental Design

Structured problem framing grounded in process analysis, experiments, and physical systems.

Tools & Collaboration

Google WorkspaceCanvaGitPresentation Design

Practical delivery skills for documentation, version control, and stakeholder-facing outputs.

About Me

Combining engineering thinking with data-driven problem solving.

I am a data-focused problem solver with a background in chemical engineering. My experience spans analytics, experimentation, research, and technical problem-solving, with growing interests in data science, process optimization, and sustainability-driven innovation.

I enjoy transforming complex information into actionable insights and building solutions that create measurable impact across different industries.

Learn More