Vetted Tableau Professionals

“Early-stage investor with PropTech exposure who sources founders through conferences, VC networks, and thesis-driven outbound. Demonstrated ability to turn cold founder interactions into multi-month relationships by providing practical support on financial models and pitch decks, while applying a thoughtful lens on product-market fit and ICP in investment decisions.”

“Former Bain strategy consultant with ~3 years experience and an MBA, with examples spanning turnaround work, consumer goods market assessment, and strategic planning. Demonstrates strong executive alignment habits (disciplined updates, no-surprises communication) and operational leadership, including training teammates on Tableau via templates to scale productivity.”

“Early-stage investor/sourcer with experience at Insight Partners and M13 who combines thesis-driven outbound with deep ecosystem presence to generate proprietary founder relationships. Particularly strong in generative AI, creative tooling, and commerce tech, with added credibility from Gold House Ventures fellowship, angel investing communities, and a fractional fundraising advisory practice that has helped founders close rounds.”

“Clean energy founder (Ishan "Summer") who built an energy storage/battery materials venture in 2022 focused on data centers and factories, raising $10M split between venture capital and government funding. Demonstrates end-to-end venture execution: multi-year market observation, team formation, customer/market validation, research collaboration, prototyping, and channel-partner-led go-to-market.”

“Founder-sourcing and pipeline operator with energy/sustainability network who has sourced and built multi-touch relationships with founders (including an SF-based founder building an AI platform for data-center permitting/financing/offtake). Uses a structured discovery and tracking process, provides value through insights and introductions, and produces partner-ready summaries and recommendations to drive go/no-go decisions.”

“Built and deployed a production LLM conversational AI system at OpenAI supporting chat, summarization, and semantic search at 1M+ requests/day, driving major latency (40%) and accuracy (25%) improvements through Pinecone optimization and tighter RAG with re-ranking. Also has Amazon experience improving recommendation systems by translating ML metrics into business terms to boost CTR and conversions, with strong MLOps/orchestration depth (Airflow, MLflow, SageMaker, Kubeflow).”

“ML engineer with 5 years at Stripe building and productionizing real-time fraud detection at massive scale (3M+ transactions/day; $5B+ annual payment volume). Delivered measurable impact (22% accuracy lift, 18% loss reduction, +3–5% authorization rates) and has strong MLOps/orchestration experience (Docker, Kubernetes, Airflow, MLflow, CI/CD, monitoring/rollback) plus a structured approach to LLM agent/RAG evaluation.”