MIT Institute for Data, Systems, and Society (IDSS)
Data Science and Machine Learning, Economics
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I have experience working in structured data environments within enterprise digital transformation and capital market systems, where I contribute to data labeling, data structuring, and data quality assurance as part of broader business analysis and QA responsibilities. My work involves defining and documenting data workflows, mapping business requirements into structured data formats, validating system outputs, and ensuring consistency and accuracy across large-scale financial platforms and regulatory systems. I also collaborate closely with stakeholders to establish data definitions, business rules, and labeling standards that support system enhancements and integrations. I have supported multiple large-scale projects involving investor onboarding systems, APIs, digital platforms, and enterprise portals, where data accuracy, classification, and consistency are critical to operational success. My background in QA and Technical Business Analysis strengthens my ability to develop test cases, validate labeled data outputs, and maintain high-quality datasets across complex systems. This combination of domain expertise in capital markets, structured data governance, and quality assurance enables me to effectively support AI training data, data labeling, and data operations in regulated, high-volume environments.
Data Science and Machine Learning, Economics
Master of Science, Economics
Senior Project Manager
IT Program Manager