Vetted Tableau Professionals

“ML/AI engineer focused on production-grade model reliability: built a monitoring and validation framework to detect drift, trigger anomaly alerts/retraining, and maintain consistent performance for device intelligence workflows at scale. Strong MLOps background with Python pipelines, Docker/Kubernetes deployments, Airflow orchestration, and real-time monitoring dashboards; experienced partnering with product managers to deliver business-facing insights.”

“Talent/People Operations leader who has managed 5–8 person teams and repeatedly rebuilt recruiting operations in high-volume, fast-growth environments. Known for implementing structured intake, interview SOPs/SLAs, and rubric-based evaluation inside ATS/HRIS systems—cutting time-to-fill from 30+ days to under 20—while also leading enterprise-wide systems rollouts like Lattice with strong cross-functional change management.”

“Growth creative lead at Amazon who ran structured, incrementality-informed A/B tests for Prime acquisition on Amazon DSP. Produced a winning benefit-led video + social-proof framework that improved CTR/CVR while cutting CPA (-24%) and increasing ROAS (+32%), then scaled the approach across email and onsite placements for an additional 10–12% lift in Prime sign-ups.”

“Built and shipped a production multi-agent, voice-based conversational assistant for older adults’ daily health management using Vertex AI, FastAPI, Firebase/Firestore, and Cloud Run, with a custom cross-session memory design to keep responses context-aware at low latency. Also partnered with caregivers/elderly users and health officials, translating needs into workflows and explaining HIV risk predictions with SHAP and dashboards.”

“Operator/Chief-of-Staff-style leader with experience spanning a seed-stage aerospace startup, Capital One, and Oasis Financial. Has led multiple executive-driven cross-functional initiatives, built hiring and data/dashboard systems (Tableau) to increase executive leverage, and managed strategic product transformation work alongside day-to-day operational execution.”

“Cloud/platform engineering lead with deep Azure AKS and SRE/observability expertise who migrated an EY enterprise SaaS platform from monolith to cloud-native microservices, supporting 10+ products and ~$200M annual revenue with ~99.9% uptime. Also building an open-source Kubernetes-native AI agent orchestration platform (AgScale) in Go with CRDs/controllers, policy/tool governance, token budgets, and production-grade monitoring.”