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Vetted Data & Analytics Professionals in California
Pre-screened and vetted in California.
Popular Titles
Principal Data Scientist & AI/ML Engineer specializing in LLMs, recommender systems, and MLOps
Staff Data Scientist specializing in machine learning, deep learning, and big data
Senior Data Engineer specializing in cloud data platforms and real-time streaming
Senior AI/ML & Data Scientist specializing in NLP, knowledge graphs, and semantic search
Abhinav Bandaru
Junior Data Scientist specializing in Generative AI and agentic LLM systems
“LLM/agentic-systems builder who has shipped production tools for investment research and procurement insights, including a company screener that processes thousands of conference-listed companies using FireCrawl + Google Search + Gemini. Demonstrates strong orchestration expertise (LangGraph multi-agent graphs), performance optimization (async/batching to sub-30s), and pragmatic reliability/evaluation practices with stakeholder-friendly UX (real-time cost tracking and model/parameter toggles).”
Nomin Amar
Senior Data Analyst specializing in marketing operations and performance analytics
“Performance marketing analyst at Meta supporting Amazon who identified Amazon app users as a high-value segment (2x ROAS), built and validated a retargeting audience via rigorous A/B testing, and helped drive a global rollout across thousands of campaigns resulting in ~$80M annual revenue. Strong in experiment design, SQL-driven insight generation, and translating performance learnings into cross-platform creative and catalog strategy.”
Sason Torosean
Principal Data Scientist specializing in financial risk, forecasting, and applied ML
“ML/NLP practitioner and technical founder who built an AUP risk-scoring model at Bill.com using TF-IDF + SVD features with XGBoost, and previously created automated data-quality guardrails for a Global Equity Risk stacked ML model at Thomson Reuters. Recently built a RAG-based chatbot for PaymentJock’s Home Affordability Probability product using embeddings and a local vector database (FAISS/Chroma), improving answer quality through chunking rather than expensive fine-tuning.”
Jayashree Raman
Director-level Data Architecture & Governance leader specializing in cloud analytics platforms
“Technology/architecture leader with Accenture experience delivering data- and AI/ML-driven products, including a legal contract search solution and customer sales analytics for AWS. Known for scaling distributed teams (onshore/offshore), making pragmatic architecture decisions, and solving hard data problems (proprietary sources, data quality) while implementing scalable integrations like Redshift-to-Salesforce via parallelized pipelines.”
Mid-level Machine Learning Engineer specializing in search ranking and NLP
Staff-level Data Scientist specializing in LLMs, NLP, and product experimentation
Senior Business Analyst specializing in digital and enterprise technology strategy
Principal Data Scientist specializing in AI and quantitative investment strategies
Senior Data Scientist specializing in large-scale ML systems and recommendations
Junior Data Analyst specializing in experimentation, data quality, and ML analytics
Anirudha Deo
Senior Engineering Manager specializing in cloud-native e-commerce and payments platforms
“Senior Engineering Manager with large-scale platform/API ownership at eBay, leading a globally distributed team and redesigning Order public APIs used by external developer ecosystems at ~800M requests/day, delivering 84% performance gains and reducing compute by ~300 VMs. Also led Google CRES ETL migration work on GCP, creating reusable Python libraries to standardize configuration across 10 integrations and improve developer productivity.”
Mid-level Data Analyst / BI Analyst specializing in analytics, governance, and dashboards
Staff Data Scientist / AI-ML Engineer specializing in fraud detection, NLP, and recommendations
Intern Machine Learning Engineer specializing in AI security and anomaly detection
Mid-level Business Analyst specializing in data analytics and financial systems
Mid-level Data Engineer specializing in cloud data platforms and streaming pipelines
Mid-level Data Engineer specializing in cloud-native big data pipelines and analytics
Tanmayee Chandanam
Mid-level Data Scientist specializing in recommender systems, NLP, and real-time ML pipelines
“AI/LLM engineer who built and productionized an internal RAG-based knowledge system that ingests diverse sources (PDFs, Markdown, Slack), scaled retrieval with distributed FAISS and parallel ingestion, and reduced hallucinations via re-ranking, grounding prompts, and post-generation validation. Also has hands-on orchestration experience with Airflow and Kubernetes for reliable ETL/model pipelines, monitoring, and staged rollouts; reports ~15% accuracy improvement and adoption as the primary internal knowledge tool.”