Data Analyst
Abdullah
Bin Masood
I turn raw data into decisions with SQL, pandas, and Google Sheets. Every project below is a full case study: problem, method, code, findings, and what the business should do next.
Toolkit
What I work with
Complex joins across normalized schemas, CTEs, window functions (NTILE, PERCENTILE_CONT, running aggregates), cohort and RFM segmentation, and query patterns that scale to tens of millions of rows.
Production-style data cleaning, groupby and pivot analysis, cohort banding with cut and qcut, chunked processing for datasets bigger than memory, and EDA that ends in business recommendations, not just charts.
Self-maintaining workbooks with QUERY, ARRAYFORMULA, XLOOKUP and SUMIFS. Live dashboards with pivots, sparklines, and conditional-format alerting that non-analysts can run.
Work
Featured Case Studies
All projectsLearning
33 certifications and counting
SQL, Python, data engineering, cloud fundamentals, and the tooling around them. Verified certificates, all viewable.