Vetted Tableau Professionals

“Analytics candidate with strong product and growth analytics experience across SQL, Spark, Python, and Tableau. They have built clickstream funnel pipelines, automated Bayesian experiment evaluation, and used Markov chain journey modeling to uncover onboarding friction that led to a 5% conversion improvement. They also show strong cross-functional influence by standardizing churn definitions across product and marketing teams and operationalizing adoption in shared dashboards.”

“BlackRock application engineer/product owner focused on enterprise AI platforms, building internal GenAI and ML workflow products for operations and business teams. Stands out for combining consultative solution design with hands-on implementation, including a contract review platform that cut first-draft review time by 60%+ and an AI mailbox tool that drew interest from 17 additional teams during the POC stage.”

Yash Jain

Screened

Director-level engineering leader specializing in identity, authentication, and AI security

Mountain View, CA12y exp

“Engineering leader at Intuit focused on identity, authentication, and security infrastructure for AI integrations in highly sensitive financial workflows. Led a 10-person Tier 1 team, built an AgentIdentity framework across 3 organizations, and helped launch TurboTax/QBO integrations with ChatGPT and Claude while maintaining strict reliability and security standards.”

kirandeep virdi

Screened

Executive HR leader specializing in transformation, talent, and people analytics

New York, USA13y exp

“Startup operator who joined Asper.ai at the pre-product, pre-revenue stage as Head of HR and helped scale it over 3.6 years to 180+ employees, 5 global locations, $10M ARR, and a $20M Series A. Unusually broad in scope, they combined people leadership with marketing, global expansion, financial governance, brand launch execution, and M&A-related HR work.”

“Backend engineer who built and iterated a secure, multi-tenant RAG system over a large document corpus, emphasizing strict RBAC/ACL isolation, hybrid retrieval (vector+keyword), reranking, and strong observability to balance relevance, latency, and cost. Also led production refactors/migrations using strangler + feature flags/dual writes and has experience catching subtle real-world failure modes (including in a sensor calibration optimization pipeline).”

Rina Thakker

Screened

Executive Product & Technology Leader specializing in consumer digital platforms and media

Darien, CT21y exp

“CTO at Grand Slam Track (track & field league) for ~2 years, owning a broad technology portfolio across digital marketing tech, IT, broadcast technology, and athlete/data management systems. Entrepreneurial operator with repeated experience assessing product-market fit using user sentiment, demand data, demographic targeting, and A/B testing; familiar with VC mechanics and looking to deepen hands-on fundraising experience via a large network and board connections.”

“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.”

“Built ZenDraft and brings an operator's lens to founder sourcing and evaluation. Demonstrated ability to run structured outbound, convert cold outreach into product-shaping conversations and pilot introductions, and manage an early-stage investment-style pipeline with clear decision frameworks.”

“Analytics professional with experience at McKinsey & Company and Dell Technologies, focused on turning messy operational and business data into trusted dashboards and decision tools. They combine SQL, Power BI, and Python to solve data quality issues, define metrics like retention, and deliver measurable impact such as a roughly 30% reduction in manual reporting time.”

“Compensation and payroll professional with hands-on ownership of end-to-end U.S. payroll and compensation cycle support. Stands out for using compa-ratio, market benchmarking, and Excel-based reconciliation tools to catch data issues, influence salary decisions, and strengthen payroll controls.”

“Candidate mentioned working in a GTM role at Swing Phi, supporting cross-functional efforts around customer segmentation, profiling, and sales pipeline targeting. They cited using Python, SQL, and Excel for data analysis and attributed a 5% increase in acquisition rate to this work.”

“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.”

Alan Nguyen

Screened

Director-level HR & People Operations leader specializing in global people strategy and HR analytics

Fort Worth, TX12y exp

“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.”

“Executive MBA candidate exploring entrepreneurship with exposure to the venture capital ecosystem (including an investor-focused conference). Highly committed to building a product from the ground up and uses authenticity, market fit, and personal expertise alignment as key criteria for pursuing new ideas.”

ENMANUEL CRUZ

Screened

Senior Sales Engineer specializing in enterprise SaaS solutions consulting

New York, NY7y exp

“Solutions/Sales Engineer with enterprise SaaS experience spanning internal communications, IT lifecycle management, IAM, and Figma. Stands out for multilingual customer engagement in Latin America (Spanish and Portuguese), hands-on expertise in SSO/SCIM architecture discussions, and a proactive builder mindset demonstrated by creating an internal Claude-based automation tool for SE impact tracking.”

Matthew Cason

Screened

Senior Strategy & Venture Investing Professional specializing in deep tech and energy

Los Angeles, CA7y exp

“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.”

“Engineer with hands-on experience shipping production Python integrations and designing for reliability from day one, including idempotency, retries, dead-letter handling, contract checks, and full observability. Also brings web automation experience with Puppeteer and has implemented high-availability failover using load balancer liveness checks, backup environments, and cold standby architecture.”

“Primary engineer at Customer Insights AI who built an end-to-end Python pipeline for 340B drug pricing compliance, using ML to detect suspicious pharmaceutical claims and benefit diversion. Stands out for combining healthcare compliance domain knowledge with production reliability practices, and for turning ambiguous analyst-driven review processes into automated workflows that cut manual review by 70%.”

“Internship experience at TikTok and nCino, with hands-on work spanning production Python data pipelines, recommendation-system feature workflows, Salesforce Apex automation, and flaky UI automation for a live stock recommendation platform. Stands out for a reliability-focused approach: anticipating failure modes, instrumenting observability, and turning ambiguous business processes into maintainable automated systems.”