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Vetted Forecasting Professionals
Pre-screened and vetted.
Senior Software Engineer specializing in backend platforms and distributed systems
Senior Business Analyst specializing in GRC, enterprise risk management, and ServiceNow IRM
Mid-level ML Engineer specializing in production NLP, forecasting, and anomaly detection
Mid-level Data Scientist specializing in AI/ML for financial services and retail analytics
Executive Marketing Leader specializing in global brand strategy and growth
Mid-level AI/ML Engineer specializing in LLMs, forecasting, and MLOps deployment
Mid-level Software & ML Engineer specializing in cloud data platforms and MLOps
Senior Data Scientist / ML Engineer specializing in NLP and Generative AI
Mid-level Data Analyst specializing in predictive analytics and BI for financial services
Mid-level Data Scientist specializing in ML, deep learning, and manufacturing analytics
Mid-level AI/ML Engineer specializing in NLP, LLMs, and MLOps
Executive Technology Leader specializing in AI, Cloud, and FinTech/EdTech platforms
Senior Sales & Business Development Professional specializing in SaaS, media, and e-commerce
Executive Supply Chain & Logistics Leader specializing in distribution and last-mile delivery
Senior Data Engineer specializing in multi-cloud data platforms and real-time analytics
Kim Janney
Executive PMO & Agile Transformation Leader specializing in enterprise delivery and release governance
“Operations and agile enablement leader currently shaping internal operations at KlariVis (rapidly growing, founder-led company). Implemented Scrum, quarterly planning, cross-functional ways of working, executive dashboards, and org-wide training while also improving release management, bug prioritization, and go-to-market workflows; blends strategic structure with hands-on execution and change adoption through iterative feedback.”
Vaishnavi Dangety
Senior Talent Acquisition Operations leader specializing in scalable global recruiting programs
“Recruiting Operations leader who has managed 6–12 person teams and owned the full recruiting ops lifecycle, including ATS governance, reporting, capacity planning, and vendor coordination. Notably redesigned interview scheduling/feedback workflows to cut time-to-fill 25–30% for priority technical roles, reduce candidate drop-off ~20%, and boost recruiter load capacity 15–20% without sacrificing quality; also led an end-to-end CPAL ATS implementation reducing manual scheduling effort by ~40%.”
Ryan Beenken
Executive Chief of Staff specializing in executive operations and multi-sector strategy
“Chief of Staff to the family of Kevin Scott (CTO of Microsoft), serving as the first CoS to unify previously siloed teams and build an operating cadence for executive decision-making. Experienced running high-stakes, high-security events including a Presidential fundraiser/President Biden visit, coordinating with the presidential advance team and Secret Service while protecting principal priorities and privacy.”
Senior Machine Learning Engineer specializing in MLOps and Generative AI
Mid-level Data Scientist specializing in financial ML, NLP, and MLOps