Kaden Zhu

• Led daily operations across Tech, Product, Marketing, and Data; managed priorities in a fast-paced, cross-functional environment.
• Designed and shipped SQL/Python pipelines; ran statistical testing and A/B experiments to improve engagement (+22% CTR).
• Built KPI dashboards and reports to improve visibility and decision-making at the leadership level.
• Directed cross-functional teams applying business analysis and process improvement to streamline workflows.
• Communicated technical and strategic insights clearly to executives and teams.

• Built and maintained high-reliability ETL systems (Airflow, PostgreSQL) with monitoring and alerting.
• Developed ML models (TensorFlow, scikit-learn, Transformers) for forecasting and NLP, improving accuracy by 30%+.
• Exposed services through FastAPI and containerized workflows with Docker/Kubernetes, reducing release cycles by 70%.
• Managed multiple priorities and delivered complex data engineering projects under tight deadlines.
• Collaborated across functions to integrate business and technical perspectives into process improvements.

• Conducted statistical and regression analysis to evaluate outreach programs; increased campaign effectiveness by 28%.
• Designed Tableau and ArcGIS dashboards targeting underserved communities, reducing inefficiencies by 19%.
• Delivered data-driven presentations to 1,500+ students, translating complex analysis into accessible insights.
• Coordinated outreach, analytics, and reporting; adapted to shifting hybrid environments.
• Aligned teams and stakeholders on data-driven strategies with clear, accessible communication.

• Cleaned/engineered 100k+ records; trained regression and gradient boosting models.
• Conducted bias testing across ZIP codes; reduced prediction bias by 12%; delivered clear, actionable report.

• Developed scheduling and routing with route optimization; cut travel time by 25%.
• Improved operational effectiveness via KPI tracking and streamlined assignments.

• Integrated text + image analysis on 50k+ reviews; reduced prediction RMSE by 15%.
• Built an interactive dashboard enabling stakeholder drilldowns on sentiment and features.