Doger Foreman

• Developed training materials to support the onboarding of new Service Analysts, contributing to a more knowledgeable workforce.
• Provided expert guidance during critical system migrations or upgrades, minimizing downtime and ensuring smooth transitions for endusers.
• Implemented new software tools for better data analysis, enabling faster identification of patterns and trends in customer feedback.
• Supervised over 60 company operations on business service analysis.

Responsibilities
• Analyze business processes and identify areas for IT-enabled improvement.
• Facilitate alignment between business strategies and IT initiatives.
• Develop and implement solutions to stabilize operations and improve efficiency.
• Coordinate cross-functional teams to ensure smooth IT integration.
• Monitor project outcomes and adjust strategies for operational effectiveness.
• Provide actionable recommendations to senior management on business-IT alignment.

Key Achievements
• Successfully stabilized critical business operations during system migrations.
• Improved process efficiency through integration of IT solutions.
• Enhanced collaboration between business units and IT teams.
• Reduced operational disruptions by implementing standardized workflows.
• Supported strategic decision-making with data-driven insights.
• Delivered measurable improvements in system adoption and user satisfaction.

Responsibilities
• Prepare and curate high-quality training data for AI models.
• Design and implement training workflows for machine learning systems.
• Evaluate AI model performance and fine-tune algorithms for accuracy.
• Collaborate with business teams to align AI solutions with organizational needs.
• Document AI training processes, methodologies, and outcomes.
• Ensure ethical use and compliance of AI technologies across projects.

Key Achievements
• Improved AI model accuracy through optimized training datasets.
• Reduced processing errors by refining training workflows.
• Enhanced business decision-making with AI-driven insights.
• Implemented scalable AI training pipelines across multiple projects.
• Ensured ethical and compliant deployment of AI systems.
• Supported faster adoption of AI solutions within business units.