Asaf Dallal
Data Engineer | SQL Repairs & Python CSV Automation
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Asaf — AI-assisted personal lettering study
An AI-assisted personal lettering study of the name Asaf, constructed from custom editable vector paths. The preview shows black and white versions on light and dark checkerboards. The underlying work includes SVG paths and transparent PNG exports at three sizes. This is personal design practice, not a commission or a reproduction of a handwritten signature. The preview backgrounds are intentionally opaque.
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Fictional product image — AI-generated personal study
An AI-generated personal study of a fictional shampoo bottle, using restrained studio lighting and a simple two-line label. The image was selected after visual inspection of the bottle, pump, label and composition. It is a fictional concept image, not a product photograph from a client campaign, a commissioned brand design, or evidence of advertising performance.
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Repeatable CSV cleanup and reporting — fictional demonstration
A Python workflow combines two fictional exports, standardizes dates and prices, and separates records needing review while preserving original inputs. Twelve input rows produce nine unique valid orders, three review rows and a monthly paid-revenue report. The checked October 2026 result is eight paid orders and $290.50 revenue. Checks cover leading-zero identifiers, expected totals, unchanged sources and repeatable reruns. This is a demonstration using fictional data, not paid client work.
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SQL report repair — fictional demonstration
An original fictional demonstration of a report total inflated by an item-level join. The query ran but reported $620 instead of the independently checked $390. The repair aggregates paid orders before joining to the customer list, preserving customers without paid orders and excluding cancelled orders. Checks covered known totals, equal-value orders, no-order customers and orders without items. The checked result is five paid orders and $390 revenue. This is a demonstration using fictional data, not paid client work.
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