Vetted Analytics Professionals

“Growth-creative marketer in a club/sports-style environment focused on premium offerings, running structured creative experiments across multiple clubs/markets. Demonstrated measurable performance gains (≈20% lower CPA, ≈12% higher ROAS) by shifting from brand-led to value-forward messaging and translating channel-level performance insights into modular, rapid-iteration creative systems.”

“Operations leader at AWI who ran multiple high-impact initiatives in parallel, including a WMS implementation, fulfillment workflow redesign, and a company-wide cost optimization effort. Known for building KPI dashboards and exception-based reporting that improved data trust and saved executives ~4–6 hours per week, while standardizing warehouse processes and coaching supervisors to reduce escalations and stabilize day-to-day ops.”

“LLM engineer who built a production document intelligence/RAG pipeline to extract structured data from thousands of unstructured PDFs, cutting manual review time by 60%. Experienced with LangChain and Airflow orchestration plus rigorous evaluation (labeled datasets, prompt testing, HITL review, monitoring) to improve accuracy and reduce hallucinations while partnering closely with non-technical operations stakeholders.”

“Early-stage founder building an engineering alpha product and planning a structured path to pilot and general availability. Active mentor in TechStars and MassChallenge with a strong VC network, emphasizing PMF, MVP-in-market feedback, and early sales while maintaining a sustainable approach to entrepreneurship.”

“Modes/progression designer on EA College Football (Dynasty and Road to Glory) who has owned multiple shipped progression systems, including recruiting and Road to Glory progression (meters, in-game reward triggers, and a "coach trust" meta-progression). Focused on modular system design and tuning/balancing for player-facing challenges and rewards, with strong QA-driven iteration and Blueprint-based prototyping practices.”

“Serial venture builder/operator across ad tech, media delivery, search engines, international content management, and ecommerce; has raised up to $150M and been involved in 8 acquisitions or IP-acquisition events. Known for refactoring/re-engineering smaller or troubled platforms into higher-value businesses, including building yield-management algorithms and a Kafka-like system to improve ad delivery profitability.”

“Partnerships and growth marketer from Dialpad who builds high-intent acquisition channels through review/comparison and integration partners. Uses SEO-driven sourcing, performance-based deal structures, and rigorous experimentation (A/B tests, segmentation, CVR/CPA tracking) to drive higher-quality trials than paid search while protecting editorial trust.”

“Customer-facing technical professional experienced in productionizing complex systems (including LLM/agentic workflows) and high-volume cloud data pipelines. Built and hardened a near-real-time data extraction/caching solution that significantly reduced latency and became a reusable pattern for other enterprise use cases; also runs developer demos/workshops with hands-on test environments and has driven 30–50% latency improvements.”

“Built and deployed custom AI chatbots at LivePerson, translating customer service pain points (e.g., MTTR reduction and fragmented information) into production RAG-based solutions with stakeholder-facing metrics dashboards. Experienced in real-time troubleshooting using Elastic logs, leading POCs, and integrating customer APIs to automate workflows as part of sales-driven solutioning.”

“Built and deployed a production LLM-driven Dungeons & Dragons game where the model acts as a dungeon master, adding a structured combat system and a macro-state tree to ensure campaigns converge to a clear ending. Fine-tuned Gemini 2.5 Flash on Vertex AI and deployed on GCP with Kubernetes, using RAG over DnD rules/spells plus multi-agent orchestration (intent-based routing between narrative and combat agents) to reduce hallucinations and improve reliability.”

“Marketing/CRM-focused campaign lead with enterprise financial-services rebrand experience, spanning new website and copy creation through national social/digital promotion. Uses Google Analytics and ongoing reporting/QBRs to optimize to KPIs, drive ROI, and successfully retain and upsell clients while expanding reach into new demographics.”

“Global operations/program leader from PSI who ran concurrent transformation initiatives across US/APAC/EMEA—AI-driven proctoring automation, vendor consolidation, and BI/exec dashboards—while overseeing delivery of millions of exams in 120+ countries. Known for KPI-based governance (RACI, steering cadences, shared dashboards) that drove measurable outcomes: +20% throughput, $5M annual cost reduction, and 30% reduction in executive meeting load with faster decision cycles.”

“Data/ML practitioner with experience applying NLP and classical ML to large-scale customer data (2B+ records) for segmentation, prediction, and survey-text classification, delivering measurable business impact (~18% engagement efficiency). Has hands-on entity resolution across multi-source datasets and has built embedding-based semantic search using SentenceBERT + a vector database with domain fine-tuning (~20% relevance improvement), plus production workflow experience with Spark/Airflow and cloud tooling (AWS/Azure).”

“AI/ML engineer who has shipped production AI systems end-to-end, including an automated multi-channel (Gmail/WhatsApp/voice) candidate interviewing workflow and an enterprise RAG knowledge search platform. Demonstrates strong production rigor (monitoring, A/B tests, guardrails, schema validation, shadow testing) with quantified impact: ~60–70% reduction in interview evaluation time and ~20–30% relevance gains in RAG retrieval.”

“Full-stack engineer with startup ownership experience (Aiir) building 15+ TypeScript/Go microservice APIs on GCP Cloud Run with Kafka-based async event streaming and React CRM integrations for billing/analytics. Strong post-launch operator who tuned Oracle performance (partitioning/indexing/query optimization) and validated a 23% retrieval-time reduction via AWR, and has a quality/DevSecOps mindset (94% Pytest coverage, GitHub Actions, SonarQube, Twistlock, CloudWatch) including migrating 18+ production CI/CD pipelines.”

“Performance marketer focused on full-funnel paid media systems across Meta, Google (Search + Performance Max), and TikTok, with experience scaling spend into the ~$80K–$120K/month range while maintaining strong ROAS. Emphasizes rigorous creative testing (6–10 launches/week with 72–96 hour decision windows), GA4 validation, and controlled budget scaling; cites a turnaround case improving CTR 30%, reducing Meta CPA 27%, and lifting blended ROAS to ~3.1x in ~3 weeks.”

“Built and shipped production LLM/AI agent systems including an NL-to-SQL query agent with semantic search and Redis-based caching, using schema-aware prompting and threshold validation to reduce hallucinations. Has orchestration experience running ML microservices on Kubernetes and automating event-driven insurance (P&C) workflows (claims/policy + fraud checks), reporting ~60% manual overhead reduction and ~99% uptime, with strong monitoring/drift-detection and business-facing Power BI reporting.”

“Frontend-focused engineer operating at a staff level with experience at Amazon and startups, known for rescuing high-impact, frontend-heavy systems through architecture, performance, and quality improvements. Delivered outsized results including cutting load times from ~90s to ~3s, raising test coverage from <1% to >80%, and enabling multi-team adoption of modern state management via training sessions for 50+ engineers.”

“COO/operator who helped scale a PE-backed Managed Services Provider from ~$20M to ~$120M in 30 months while acquiring 3–4 MSPs per year. Drove post-merger integration and standardized service delivery using ITIL, unified systems onto NetSuite and a unified delivery platform, and built a data warehouse to rapidly integrate legacy data for operational insights (including early ML/AI use).”

“Operations/product leader with experience integrating product organizations after acquisitions, standardizing Agile/PDLC and RACI to remove ambiguity and enable on-time launches. Hands-on in implementing Jira-based execution frameworks and mentoring exec teams on KPI/OKR operating cadence, including adopting a Product/Engineering/UX triad model to reduce rework and improve customer alignment.”

“Technology executive (VP/SVP Engineering, CTO/co-founder) with ~17 years of roadmap execution and the last 7 in senior exec roles. Notably led an AI-first strategic pivot when generative AI emerged—creating the AI product strategy, reskilling teams, and shipping initial AI features—while also scaling engineering orgs using SPACE metrics and driving major architecture decisions (custom reporting with React + Redshift) to close competitive gaps.”

“IT leader with hands-on M&A integration experience (including day-one readiness) across notable brands (e.g., Billabong, Marucci Sports) and product-focused organizations (Oakley). Brings broad IT domain expertise (AI, business systems, digital sales technologies) and has worked with multiple startups; interested in joining an existing startup to help it scale rather than founding a new company.”

“CTO candidate with experience supporting startups targeting Series A/Series B funding and a strong grasp of how funding choices affect ownership. Emphasizes building clean-slate architecture and organizations, and uses market/UX research plus AI-enabled rapid prototyping and architectural trade-off analysis to validate ideas quickly.”