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Abdullah Muhammad
Mid-level analytics professional specializing in AI, strategy, and business intelligence
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Analytics-focused candidate with hands-on experience using SQL and Python to clean messy business data, automate reporting, and build practical customer analytics solutions. Notable examples include a 70% reduction in reporting time through Python-based Excel automation at Shell and stakeholder-friendly retention/RFM segmentation work for small business clients in freight and winery contexts.
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Key Strengths
- SQL-based data cleaning and transformation for messy operational datasets
- Strong data validation practices using reconciliations and source spot-checks
- Performance-minded SQL optimization with indexing and intermediate tables
- Python automation of recurring Excel reporting workflows
- Reduced reporting time by 70% in fuel sales reporting pilot
- Translates manual business processes into reproducible analytics workflows
- Customer analytics using RFM segmentation and retention metrics
- Builds simple, stakeholder-friendly metrics that drive adoption
- Experience across freight-forwarding, fuel sales, and winery/customer analytics projects
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