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Ryan Bedran
Mid-level AI Solutions Consultant specializing in enterprise and government AI delivery
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Analytics and automation candidate with experience delivering data and AI solutions for major public-sector and enterprise clients including STC, Abu Dhabi Ports, and the Ministry of Culture. They combine SQL, Python OCR pipelines, dashboards, and cloud LLMs to turn messy unstructured data into scalable workflows, with reported impact including 70% faster document processing and 80-85% reduction in manual resume screening.
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Key Strengths
- SQL-based data transformation for large messy telecom datasets
- Built analysis-ready reporting tables for forecasting and Tableau dashboards
- Strong data quality validation using null, duplicate, row count, and source-total checks
- Designed reproducible Python OCR workflows for multi-document processing
- Reduced manual document processing time by 70%
- Owned end-to-end resume screening product from stakeholder discovery through delivery
- Applied LLMs to structure unstructured resumes into JSON outputs
- Built scoring logic aligned to HR evaluation criteria
- Reduced manual candidate screening by 80-85%
- Cross-functional stakeholder alignment with HR teams and business users
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Publications
1 publication
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