Mohammed Adam

Led onboarding of customer master data for 3+ enterprise clients (5,000+ records each): profiling, address standardisation, deduplication, hierarchy merges and survivorship. Built customer intelligence that showed sales teams cross-sell and upsell opportunities. Built an AI pipeline (Python, Claude Code, Firebase) that cut manual cleansing and enrichment effort 50%+. Defined DQ rules and SOPs.

Owned taxonomy and governance for 5,000+ attributes across all verticals: definitions, allowed values, units and naming that power search and filters. Co-designed the attribute framework behind Knowde’s MDM, PIM and CXP. Co-built an AI tool, a hackathon category winner, that turns product documents into validated attributes. Automated classification and QC with Python and AI (~50% less effort).

Led quality analysts reviewing product data for accuracy, completeness, and taxonomy compliance. Built the data QA framework from scratch, automated checks in Python, and maintained accuracy above 95% while cutting review turnaround by ~40%.

Inspected cathodic protection products at incoming, in-process, and final stages. Closed 25+ customer complaints through root cause analysis and CAPA, and supported ISO 9001, KUCAS, and SASO audit preparation.

Built and maintained market and technology hierarchies for a marketplace of 230,000+ products. Key contributor to the Pigments & Colorants dictionary and maintained a synonyms dictionary to improve search.

Converted supplier technical documents into structured product data for marketplace search, filters, and comparison. Covered suppliers including Dow, BASF, SABIC, Sasol, Croda, and Givaudan across multiple industries.

Grade: 9.03