.png){kind=logo}
Vetted Google Analytics Professionals
Pre-screened and vetted.
Intern Data Analyst/Data Scientist specializing in product analytics and ML
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
Tesia Lo
Senior Program Manager specializing in SaaS, e-commerce, and AR/3D delivery
“Implementation leader with 7 years of experience delivering enterprise B2B/SaaS rollouts across dental healthcare, AR commerce, restaurant management, and fintech-related environments. Has managed everything from small multi-week deployments to 450+ location enterprise implementations, including high-visibility alpha launches at Snap where executive communication, governance, and cross-functional coordination were critical.”
Sehar Uddin
Senior Digital Marketing & Technical SEO Strategist specializing in B2B and B2C growth
“Performance marketer with pharma advertising experience managing $50K+/month budgets across search, display, and programmatic. They highlight measurable efficiency gains—about 20% lower CPA and 30% higher conversions over two quarters—while using a structured, statistically minded testing approach and full-funnel budget allocation across Meta, TikTok, and Google. Seeking contract/freelance work.”
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.”
Megan Gwynne
Executive product leader specializing in e-commerce, marketplaces, and growth
“Senior product leader with experience spanning luxury e-commerce and consumer education, including leading personalization and AI-driven shopping experiences at The RealReal and serving as Chief Product Officer/strategic product consultant at OMGYES. Stands out for combining ML-powered product strategy, strong UX judgment, and cross-functional leadership to deliver measurable business impact, including conversion and revenue gains at scale.”
Surya Kumaraguru
Mid-level Product Lead and Customer Success Manager specializing in SaaS analytics and GTM
“Enterprise CSM with experience at IBM and Cloudera, focused on AI and cloud modernization engagements. Drives adoption, renewals, and expansion by building success plans with measurable ROI/usage outcomes, mediating complex stakeholder priorities, and unblocking deployments through tight Product/Engineering/Sales coordination. Also brings strong GTM analytics capability (Salesforce/HubSpot/GA/Tableau/SQL) to improve funnel performance and pipeline conversion.”
Sarthak Chauhan
Junior Software Engineer specializing in AI-powered backend and full-stack systems
“Built production AI agents at HubSpot for sales teams, including Next Best Action, Deal Risks, and Deal Plans. Combines frontend React/TypeScript implementation with backend prompt engineering, evaluation in Braintrust, caching, and generation pipeline work, and has experience shipping fast with beta feedback and gated rollouts.”
Sayuj Shah
Mid-level Data Analyst & AI Practitioner specializing in ML, LLMs, and analytics platforms
“Data Analyst at U.S. Cellular who built production LLM solutions, including a Tableau-embedded chatbot that converts natural language questions into Oracle SQL and returns actionable KPI insights for non-technical users. Also authored MAD-CTI, a multi-agent LLM system for dark web hacker forum threat intelligence (published in IEEE Access) that outperformed single-agent approaches by 14%.”
Navya Perumbudur
Mid-level Data Analyst specializing in SaaS product and business analytics
“Analytics professional with hands-on experience building SQL and Python workflows for support operations and product reporting. They stand out for turning messy CRM, ticket, and activity data into validated, performance-optimized reporting tables and dashboards, while partnering closely with stakeholders to standardize KPI definitions around SLA performance and retention.”
Senior Ad Operations & Campaign Manager specializing in digital media and retail media
Senior Paid Media Strategist specializing in performance marketing and shoppable commerce
Senior Product/UX Designer specializing in enterprise UX, AI, and modern interfaces
Mid-level Product Designer & Engineer specializing in AI-native geospatial and data products
Director-level Communications & Marketing Leader specializing in healthcare, public health, and nonprofit strategy
Christopher Bibb
Senior Ad Operations & Campaign Manager specializing in programmatic and publisher ad tech
“Paid media specialist with hands-on ownership of high-spend digital audio, including a $75K/month Progressive campaign run in Spotify (trafficked via Megaphone and Google Ad Manager). Demonstrates a structured full-funnel approach across Meta/TikTok/Google and a rigorous testing and incrementality mindset (marginal CPA/ROAS, saturation signals, new-user contribution, branded search lift) to guide optimization and scaling.”