I am a Duke MQM graduate and data professional with four years of experience building self-service analytics, BI solutions, scalable data pipelines, and production machine-learning systems across logistics, retail supply chain, and technology. I turn complex operational data into trusted metrics, decision tools, and intelligent workflows that create measurable business impact.
At UniUni, my work spans address intelligence, experimentation, causal analysis, and data infrastructure for last-mile operations. Alongside my industry work, I build applied AI systems that combine domain knowledge with language models, retrieval, and multi-agent workflows.
The common thread across my work is Data + AI. Strong data foundations, clear business context, and reliable evaluation are what make AI useful in the real world.
Selected impact: 50K+ daily parcels supported · 80%+ faster KPI reporting · 8% GMV uplift · ~30% receivables reduction
RouteGuard Logistics · Text Embeddings · XGBoost · Risk Scoring |
Multi-Agent Case Analysis AI Agents · Evaluation · Voice Interface · Business Reasoning |
Production ETL Pipeline Data Engineering · Validation · Parquet · 40M+ Records |
VC Fund Performance Business Analytics · XGBoost · SHAP · Fund Strategy |
- Data foundation: I build trustworthy pipelines, metrics, and analytical workflows before adding intelligence on top.
- Applied AI: I use machine learning and AI agents to solve concrete operational and decision-making problems.
- Business ownership: I connect technical choices to adoption, workflow design, and measurable outcomes.
- Duke University, The Fuqua School of Business — MS in Quantitative Management: Business Analytics
- Winner — Duke Winter Data Competition
- Meritorious Winner — Mathematical Contest in Modeling / Interdisciplinary Contest in Modeling
- Passed CFA Level I — CFA Institute
I am interested in opportunities and collaborations at the intersection of data and AI. Connect with me on LinkedIn or reach me at carinamoshu@gmail.com.