Ernest Echeng Ekereke

– Engineered and validated a logistics dataset from Excel and SQL sources, improving data quality by 15% and establishing a reliable foundation for downstream modelling.

– Developed a route efficiency analysis pipeline in Python (Pandas, Matplotlib) to identify delay patterns, applying statistical methods to quantify bottleneck severity.

– Built predictive models for on-time delivery forecasting and deployed outputs as interactive dashboards for operational monitoring.

– Proposed data-driven route optimisation strategies backed by model outputs, reducing average delivery time by approximately 10%.

– Applied statistical analysis to weekly sales data to surface trends and generate insights supporting management decisions.

– Automated data processing and report generation pipelines using Python and Excel, reducing manual reporting effort significantly.

– Conducted exploratory data analysis (EDA) on structured business datasets to uncover patterns and formulate predictive hypotheses.

– Built and evaluated regression models for business forecasting; communicated model-driven insights to non-technical stakeholders through clear visualisations.