Data you can trust for decisions that matter.

I am a data analyst, data engineer and machine learning practitioner who builds dependable analytical systems for healthcare, finance and public sector data. I hold an MPS in Applied Machine Intelligence from Northeastern University and bring hands on experience in healthcare analysis, financial analysis, donor data analysis, reconciliation, reporting and data governance.

My work covers every stage of an analytical project: designing data pipelines and validation checks, building and evaluating predictive models, and delivering dashboards and reports that leaders can trust. I work with tools such as Python, SQL and Tableau, applied within analytical frameworks for statistical modeling, natural language processing, computer vision and generative AI.

Core areas: data reconciliation, variance analysis, forecasting, data quality assurance, access management, workflow automation and process documentation.