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Vetted Data Analysts in California
Pre-screened and vetted in California.
Senior Data Scientist specializing in cloud ML, risk, and real-time analytics
Senior Marketing Analytics Manager specializing in performance marketing and attribution
Junior Data Analyst specializing in analytics and performance reporting
Nandini Kalita
Senior Data Scientist / ML Engineer specializing in NLP, anomaly detection, and cloud ML platforms
“ML/NLP practitioner who built customer-feedback topic modeling (NMF + TF-IDF) to diagnose chatbot-to-agent handovers and drove product/ops changes that reduced operational costs by 20%. Also developed LSTM-based intent recognition using Word2Vec/GloVe embeddings for semantic linking, and deployed an LSTM autoencoder for fraud anomaly detection that cut false positives by 25% while capturing 15% more fraud in A/B testing.”
Udirno Chaudhuri
Mid-level Data Analyst and Product professional specializing in FinTech and AI applications
“Payments/product-focused operator with hands-on experience owning complex bank connectivity deployments at Paystand, including a migration that raised connection success from under 50% to 79%. Also built a production-grade multi-agent document intelligence system on AWS Bedrock for structured enterprise document extraction, combining real-world fintech domain pain points with modern LLM architecture.”
Junior Data Analyst specializing in operational and product analytics
Mid-level Business Analyst specializing in data analytics and BI
Mid-level Data Scientist specializing in ML, GenAI, and data engineering for finance and PropTech
Junior Data Scientist / ML Engineer specializing in applied ML, data pipelines, and full-stack systems
Hritvik Gupta
Mid-level AI Engineer specializing in LLMs, RAG, and healthcare AI
“Built and scaled an AI-powered voice/chat patient engagement platform at Penn Medicine from early prototype into production clinical workflows, focusing on latency, edge cases, and user trust. Strong in LLM reliability engineering (structured prompts, validation/fallbacks), real-time troubleshooting with observability, and cross-functional enablement through pilots, demos, and sales/customer partnership.”
Brian Mar
Senior Data Engineer specializing in data infrastructure and marketing/CRM analytics
“Salesforce-focused implementation/solutions engineer from Full Circle Insights who owned end-to-end campaign attribution and reporting deployments for multiple customers at once (3–5 concurrently), including sandbox testing, KPI monitoring, and rollback-safe migrations from legacy reporting. Also builds personal multi-agent workflows and uses Claude Code to rapidly scaffold data/analytics scripts like an advertising optimization parser over CSV/XLSX inputs.”
Corbin Ward
Junior Product Manager / APM specializing in data tools, CMS platforms, and AI-enabled products
“Data Software Tools Analyst at Q.ai through rapid growth and a $2B Apple acquisition who led an internal CMS for participant/PII workflows using Next.js (App Router) + FastAPI/Postgres with strong security controls (JWT + Postgres RLS). Also drove a major frontend architecture shift toward React Server Components, reporting ~4x faster page loads, and has experience building durable realtime collaboration systems with Supabase/SvelteKit and server-centric state management.”
Mid-level Business Data Analyst specializing in healthcare and revenue analytics
Mid-Level Software Engineer specializing in AI workflow automation and backend systems
Junior Machine Learning Engineer specializing in healthcare NLP and computer vision
Mid-level Data Engineer specializing in cloud data platforms and real-time streaming
Mid-level Planning & Data Analyst specializing in CPG sales planning and operations analytics
Senior Software Engineer specializing in backend systems, AI/ML, and cloud infrastructure
Junior Software Engineer specializing in backend systems and logistics data pipelines
Rakesh Deshalli Ravi
Mid-level Data Science & AI Engineer specializing in LLMs and cloud ML platforms
“Built and deployed an LLM-powered mental health therapy assistant at AppHealth that segments users by stress level and delivers personalized, non-medical guidance. Implemented healthcare-focused safety guardrails (secondary LLM output filtering) and a multi-agent router workflow validated via statistical tests and therapist review, then scaled training/inference on AWS (EC2/Lambda/DynamoDB) with Kubernetes.”