Teams at Nielsen

Lead technical vision and architecture for multimodal AI/ML systems. Design scalable data foundations, optimize inference for GPU production, integrate generative and computer vision models, define evaluation/observability frameworks, de-risk initiatives through prototypes, and mentor data science and ML engineering teams.

Lead SAP Master Data Governance for financial and enterprise master data: design governance processes, manage MDG workflows, ensure data quality, execute complex master data requests, perform audits and root-cause analysis, drive system enhancements with IT, and train stakeholders to enable accurate financial reporting and profitability analysis.

Design and execute statistical analyses (ANOVA, t-tests, nonparametric tests), develop sampling strategies and sample-size/power calculations, clean and feature-engineer data, build and deploy ML models, define data quality checks, create dashboards and visualizations, communicate results to stakeholders, and learn US TV audience measurement methods.