Pauline K.

About Pauline K.

I am a results-driven Senior Data Scientist and Business Analyst with deep expertise in FP & A, enterprise financial systems, and advanced data analytics. My work sits at the intersection of finance, technology, and strategy—helping organizations transform complex data into clear, actionable business decisions.With a strong background in Finance and Information Systems, I specialize in optimizing ERP environments to improve reporting accuracy, efficiency, and strategic visibility. I design and implement SQL-based financial data extraction processes, automate reporting workflows, and build scalable dashboards that empower leadership teams with real-time insights.What I DoAs a Business Analyst, I focus on:• Financial Planning & Analysis (FP & A): Building robust financial models to support budgeting, forecasting, and long-term planning• ERP Optimization: Improving system configurations, data structures, and reporting logic to align technology with business objectives• Data Analytics & Automation: Designing SQL-driven pipelines and automated reporting solutions that reduce manual effort and improve reliability• KPI Development: Translating strategy into measurable performance indicators for operational and executive teams• Process Improvement: Leveraging technology to streamline workflows, eliminate inefficiencies, and enhance internal controlsMy ApproachData collection should serve a strategic purpose, fostering transparency, accountability, and measurable progress. My approach combines analytical rigor with business acumen:• Understand the business problem first• Clearly document system architectures and data flow processes.• Design scalable, automated solutions• Deliver insights in a way that executives and stakeholders can act on immediatelyI bridge the gap between finance teams, IT departments, and executive leadership—ensuring systems, data, and strategy work together seamlessly.

Experience

1. Ai Data Annotator

   Outlier Ai

   Nov 2025 — Present · Seattle, WA, US

   As an AI Data Annotator at Outlier, I contribute to the development and optimization of large language models by delivering high-quality data labeling, evaluation, and content refinement. My role involves analyzing complex prompts, validating model-generated responses, and ensuring outputs meet strict quality and accuracy standards.Key Responsibilities:Annotate, review, and evaluate AI-generated content across diverse domainsApply critical thinking and domain knowledge to assess factual accuracy and logical consistencyIdentify patterns, inconsistencies, and bias in model outputsFollow detailed annotation guidelines to maintain data integrityProvide structured feedback to improve model performance

Education

• The Catholic University of Eastern Africa

  Bachelor of Commerce - BCom, Accounting

• The Catholic University of Eastern Africa

  Master of Business Administration - MBA, Marketing Management

• NIIT Institute

  Diploma iin Information Technology, Information Technology

• University of Delaware

  Master of Science - MS, Business Analytics & Information Management