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Festus Uzochukwu

@festusuzochukwu

Message

Marine engineer turned data scientist delivering ML-driven insights.

Nigeria

Message

What I'm looking for

I seek roles where I can apply ML and data engineering skills to solve real-world problems, collaborate cross-functionally, and drive measurable business impact in a growth-oriented team.

I am a versatile professional combining marine engineering training with data science and machine learning expertise to turn complex data into clear, actionable insights.

I have applied Python, SQL, Power BI, Tableau, TensorFlow and AWS to design dashboards, build and deploy models, and improve data quality and decision-making across maritime and commercial projects.

Notable accomplishments include machine learning models with accuracy up to 95%, a CNN image classifier at 92% accuracy, a customer churn model that improved retention strategies by 20%, and published exploratory maritime accident analysis in the Journal of Maritime Research.

I collaborate with data engineers on pipelines, use MLOps and cloud tools for deployment, and lead teams to deliver measurable impact—bringing engineering rigor, analytical thinking, and strong communication to every project.

Experience

Work history, roles, and key accomplishments

Current

Data Scientist

Current

EasyCode

Jan 2020 - Present (5 years 10 months)

Developed and deployed ML models and dashboards to turn large maritime and business datasets into actionable insights, improving decision-making and model accuracy up to 95%.

Python SQL TensorFlow scikit learn Power BI Tableau AWS MongoDB

Current

Machine Learning Engineer

Current

EasyCode

Jan 2020 - Present (5 years 10 months)

Built and fine-tuned ML and deep learning models (CNNs, NLP) and implemented preprocessing and deployment pipelines, achieving up to 92%–95% accuracy and supporting production inference on AWS.