Lazarus Mapfurira

I’m a Data Analyst focused on end-to-end data workflows—extracting, cleaning, validating, and consolidating datasets so analytics stay accurate, consistent, and scalable. I use SQL (JOINs, VIEWs, CTEs, window functions) and Python automation (Pandas) to reduce manual work and strengthen data pipeline reliability.

I build Power BI dashboards and reporting in Advanced Excel for both technical and non-technical stakeholders, including KPI performance reporting and decision-ready insights. I’ve also applied customer segmentation and product categorisation analysis across FMCG retail to spot trends, patterns, and data gaps that inform client strategy.

Beyond day-to-day analytics, I grow my craft through projects like a Gradient Boosting (XGBoost) loan default risk model with SHAP-driven explanations, plus multi-source dashboard work integrating SQL and Power BI. My approach is practical, stakeholder-focused, and grounded in clear communication through well-structured reports.