Open to opportunities

Omojuowo owolabi Kumuyi

@omojuowoowolabikumuy

Message

Data scientist skilled in predictive modelling, ML, and data-driven solutions to optimize business outcomes.

Nigeria

Message

What I'm looking for

I seek a data-focused role where I can build and deploy ML solutions, drive data-driven decisions, mentor teams, and work in a collaborative, impact-driven environment.

I am a dynamic Data Scientist with extensive experience in predictive modelling, machine learning, and data analysis, using Python and its ecosystem to deliver measurable business value.

I have engineered predictive inventory simulations, conducted sentiment and customer-segmentation analyses, and built recommendation and multi-output recommender systems for client projects across industries.

My work includes achieving 91.49% accuracy on sleep-disorder detection with XGBoost and training models on 150,000 patient records to reach 89% accuracy for personalised Warfarin dosing, improving safety and outcomes.

I combine technical rigor (Pandas, Scikit-learn, TensorFlow, NLP toolkits) with practical deployment considerations to drive retention, procurement efficiency, and personalised user experiences.

Experience

Work history, roles, and key accomplishments

Current

Data Science Consultant

Current

Amdari

Sep 2025 - Present (2 months)

Conducted cohort analysis and user segmentation to improve retention and revenue, and developed personalized Warfarin dosing models trained on 150,000 patient records achieving 89% accuracy with Extra Trees.

Cohort Analysis Segmentation Python Extra Trees Healthcare Analytics

Data Scientist

Oeson

Aug 2025 - Oct 2025 (2 months)

Delivered multiple client projects including sentiment analysis, real estate recommendation systems, and sleep disorder diagnostic models, achieving up to 91.49% accuracy with XGBoost for sleep disorder classification.

Python Pandas scikit learn NLTK XGBoost Recommendation Systems Clustering Model Evaluation NLP

Data Scientist

Omdak

Apr 2023 - Sep 2024 (1 year 5 months)

Engineered predictive inventory simulations for construction materials using Python and advanced forecasting models, optimising stock levels and preventing shortages to improve procurement efficiency.

Python Pandas Forecasting Time Series Data Analysis Model Evaluation