Vetted Data Analytics Professionals

“IoT/connected-device and SaaS product builder with deep connected health/telehealth experience, including patient care delivery and remote patient monitoring. In their current org, they expanded a nutrition product business by prototyping and piloting a digital pre/post-surgical coaching care-delivery service with real providers/clinics/patients, then building an MVP and taking it to market.”

“GTM/Revenue Operations-style leader who rebuilt a company’s go-to-market motion at IFS Loops while running cross-functional execution across Sales, CS, Product, and Marketing. Implemented an executive operating system (cadences, Notion dashboards, decision logs, briefing packets) that cut urgent escalations ~40% and freed 20–30% of CEO/CRO time, while delivering a pricing launch that drove >10% ACV uplift and improved activation/retention.”

“Built and productionized a multi-agent LLM analytics assistant at eBay that routes natural-language questions to retrieval or text-to-SQL, dynamically retrieves relevant schemas via a vector DB, and executes against a data warehouse. Drove a major quality lift (text-to-SQL accuracy 60%→85%) and materially reduced time engineers/PMs spent getting data insights through strong eval/monitoring, tracing, and reliability-focused design (schema retrieval, strict JSON outputs, retries/clarifications).”

Luke Ryan

Screened

Executive media CEO specializing in franchise strategy, entertainment, gaming, and AI

Los Angeles, CA23y exp

“Entrepreneurial entertainment executive who built a unique company combining best-in-class content strategy and data analytics, scaling it to $4.5M average annual revenue ($5.5M peak) without outside capital at launch. Has hands-on experience leading M&A and capital raises, including interactions with Sequoia, and stands out for building new business models and premium service offerings in traditionally risk-averse environments.”

Arnell Dandridge

Screened

Director of Talent Acquisition & People Operations specializing in global hiring and HR systems

Remote9y exp

“Global recruiting leader at a startup who manages up to 20 recruiters worldwide while personally owning executive searches. Known for fast, high-impact hiring (e.g., EVP Customer Success filled in ~21 days) and for building practical, low-cost recruiting operations improvements—contract-to-hire strategy with CFO, global scheduling governance with CEO support, and HRBP-led onboarding engagement to prevent post-offer drop-off.”

“Software/cloud engineer with PwC experience deploying a nationwide Australian Government Salesforce labor licensing platform used by 200k+ professionals, emphasizing safe integration, CI/CD, and UAT-driven quality improvements (40% defect reduction). Also built a Python/FastAPI RAG system with the U.S. Army to convert CONOP documents into risk assessments, adding human-in-the-loop and provenance features to address operator trust concerns.”

“Robotics/computer-vision engineer with industrial safety monitoring experience, building real-time pose estimation (TRTPose) and 2D-to-3D localization and optimizing pipelines to sustain 30+ FPS under heavy multi-entity load. Also brings edge-to-cloud distributed systems work (HoloLens + Google Vision/Translation) and production ML deployment experience using Docker/CI/CD across finance and edge camera environments.”

“Engineering leader who managed a 20-person cross-functional team building customer-driven software solutions, delivering a 50% reduction in simulation/test lifecycle and securing a long-term strategic SLA. Strong in scalable data ingestion architectures (FastAPI + Kafka + multiprocess workers), operational diagnostics (correlation IDs/centralized logging), and microservice decoupling for analytics/visualization. Active open-source contributor who shipped a NATS bug fix and improved SDK onboarding with automation that cut ramp time by 30%.”

“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.”