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Vetted Google Analytics Professionals
Pre-screened and vetted.
Junior Software Engineer specializing in cloud-native full-stack development
Intern/Junior Software Engineer specializing in full-stack, cloud, and AI/ML systems
Director-level Investor Relations & Corporate Communications leader in regulated, high-growth companies
Junior Business Analyst specializing in operations strategy and marketing analytics
Senior Marketing Operations & Procurement Project Manager specializing in global campaigns and events
Senior Ad Operations Specialist specializing in video and marketplace advertising
Senior Performance Marketing Leader specializing in paid search and growth analytics
Mid-level AI/ML Engineer specializing in recommendations, NLP, computer vision, and MLOps
Executive PR & Strategic Communications Leader specializing in Fortune 500 brand reputation
Staff Software Engineer specializing in Healthcare IT and FinTech platforms
Director-level Growth & Performance Marketing leader specializing in SaaS and data-driven creative
Senior Graphic Designer specializing in brand and digital marketing design
Mid-level Data Engineer specializing in cloud data pipelines and analytics platforms
Executive Growth & Product Leader specializing in marketplaces, FinTech, and PLG
Mid-level AI/ML Engineer specializing in recommender systems, NLP, and MLOps
Executive Innovation & Program Management leader specializing in emerging tech, AI, and blockchain
Junior Business Intelligence Engineer specializing in experimentation and causal inference
Mid-level Data Scientist specializing in marketing analytics and scalable data platforms
Senior Performance Marketer specializing in paid social and growth analytics
Mid-level Full-Stack Engineer specializing in cloud-native microservices and data integrations
Harinee Mohanakrishnan
Junior AI/ML & Cloud Software Engineer specializing in LLM applications
“AI engineer (2+ years; pursuing an online MS at UIUC) who has shipped an AI-powered voice screening platform end-to-end on GCP with strong production monitoring and measurable hiring-process impact (80% reduction in unqualified pass-through; ~50+ hours saved per role). Also built and deployed an AWS-based context-aware hybrid search system using OpenSearch as a vector store, and has hands-on experience with multi-agent LLM orchestration (ReAct) and structured-output guardrails.”