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Paul Yu

Data Engineer

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Competitive Research Platform

Market research automation platform that generated $200K+ revenue by productizing advanced analytics and competitive market research report creation

PythonSQLTableauDomoMachine LearningETL PipelineData Visualization

SSituation

A leading market research firm was struggling to scale their premium CMR reports ($10K each) due to manual processes. Each report required 6-8 weeks of analyst time for data collection and analysis across 20+ data sources, limiting production to 2-3 reports monthly.

TTask

Create an automated platform to streamline the CMR report creation process, targeting 75% reduction in production time while maintaining premium quality and enabling scalability across industries.

AActions

  • Architected end-to-end automation platform handling data collection from 20+ sources
  • Created standardized ETL processes for high-value data sources (ad spend, social metrics, web analytics)
  • Implemented industry-specific analysis modules with customizable parameters
  • Built automated report generation system with dynamic visualizations
  • Developed quality assurance framework with automated validation checks
  • Created API integrations with major data providers (SEMrush, SimilarWeb, etc.)

RResults

Generated $200K+ additional revenue through increased report productionReduced report creation time from 6-8 weeks to 5 daysIncreased report production capacity from 2-3 to 10-15 yearlyImproved profit margins by 60% through automationExpanded service to 5 new industry verticalsAchieved 98% client satisfaction rate with automated reportsEnabled junior analysts to produce senior-quality analysis

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