Welcome to my Data Analytics Portfolio!
Welcome to my Data Analytics Portfolio!
From Engine Rooms to Data Rooms , Marine Engineering Expertise, Now Driven by Data
I don't just analyze data. I understand the industries behind it.
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📢 New Project Alert! 🌊 OceanGuard Analytics
I'm Fijabi J. Adekunle — a Data Analyst with nearly two decades of Marine Engineering experience and a growing portfolio of high-impact analytics projects spanning maritime safety, fuel emissions, finance, and inventory management. I bring something most analysts can't: I've lived the operational reality of the data I work with. That means faster problem framing, sharper insights, and recommendations that actually get implemented. I'm actively seeking Data Analyst roles where domain knowledge and analytical rigour both matter.
I'm Fijabi J. Adekunle — a Data Analyst with nearly two decades of Marine Engineering experience and a growing portfolio of high-impact analytics projects spanning maritime safety, fuel emissions, finance, and inventory management. I bring something most analysts can't: I've lived the operational reality of the data I work with. That means faster problem framing, sharper insights, and recommendations that actually get implemented. I'm actively seeking Data Analyst roles where domain knowledge and analytical rigour both matter.
Selected works
Selected works
Forex Data Pipeline & Real-Time Price Alert System
A fully automated, end-to-end data pipeline that monitors EUR/USD, GBP/USD, and USD/JPY in real time.
This is not just analysis. This is a production data system.
SHIP FUEL CONSUMPTION & CO2 EMISSION ANALYSIS
Analyzed fuel consumption and CO2 emission patterns across various ship types in Nigeria waterways. Identified optimization strategies to reduce emissions by 12% for participating vessels.
Call to Action:
View Full Project Details here
Bank Customer Churn Prediction
(Kaggle Competition Host)
This project was designed to predict customer churn for a fictional bank, utilizing machine learning techniques
UK MAIB Maritime Accidents Analysis (2020–2024)
This end-to-end data analytics project explores 4 years of UK marine accident data from the Marine Accident Investigation Branch (MAIB). From three raw CSVs, I built a fully cleaned dataset of 1,840 incidents and created two interactive dashboards (Streamlit + Power BI) to reveal hidden patterns in incidents, fatalities, vessel types, and weather conditions, with the ultimate aim of contributing to maritime safety awareness.
View Full Project Details here
Explore my projects to see how data analytics can solve real-world challenges
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