Welcome!

I’m Nneka Asuzu a Data Scientist specializing in predictive modeling and cloud-enabled analytics. I build machine learning solutions that transform raw data into strategic business outcomes.

📄 Download Resume (PDF)

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About Me

I believe data is a tool for storytelling and problem-solving.
My work focuses on building scalable, cloud-based pipelines that help organizations move from guessing to knowing.
I thrive at the intersection of Python, SQL, and Azure, where analytics meets real-world decision-making.
I’m always iterating, asking how systems, models, and decisions can be made better.

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How I Work

I handle the full data lifecycle, from data cleaning and feature engineering to model selection and evaluation.
By combining statistical rigor with modern machine learning techniques, I ensure models provide accurate, actionable insights for real-world problems.

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Core Focus Areas

• Machine Learning & Predictive Modeling: XGBoost, Random Forest, Linear & Logistic Regression, Time-Series Forecasting (ARIMA, Prophet)
• Data Visualization & Business Intelligence: Power BI, Tableau, Plotly Dash
• Automation & MLOps: Python & SQL pipelines, Azure ML, MLflow
• Analytics & Statistical Methods: A/B Testing, Hypothesis Testing, Monte Carlo Simulation
• Tools & Platforms: GitHub, Jupyter Notebook, VS Code, Azure

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Achievements & Impact

• Built ML models achieving high predictive accuracy on multiple projects.
• Designed dashboards that reduced reporting and analysis time by 30%.
• Delivered scalable cloud solutions for analytics workloads.
• Automated pipelines to increase reliability and efficiency.

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Soft Skills

• Communication: Explain data insights clearly to non-technical stakeholders.
• Problem-Solving: Deliver practical, data-driven solutions.
• Adaptability: Quickly learn and apply new tools and methods.
• Collaboration: Work effectively across cross-functional teams on end-to-end projects.