Hans Shaibu

I’m a detail-oriented Data Analyst with hands-on experience analysing large datasets, building dashboards, and delivering actionable insights that support business decisions. I’m skilled in customer segmentation, A/B testing analysis, and performance reporting across commercial and operational datasets.

In my Data Science Intern role at Codveda Technologies (Remote), I analysed and cleaned business datasets using Python and Excel, executing IQR outlier detection and capping 490+ critical data discrepancies to ensure reporting accuracy. I also built and evaluated predictive models, documented structured Jupyter notebooks, and validated data integrity by cross-referencing outputs with source data.

My portfolio reflects how I turn data into decisions—from analysing 21,350 transactions and revenue drivers to identifying churn-relevant customer segments with K-Means and PCA, and leading a stroke risk prediction pipeline that reached 90% accuracy. I’m comfortable communicating findings clearly to technical and non-technical stakeholders, and I’m open to part-time work (20hrs/week) with EST timezone overlap.