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Vetted Data Analysts
Pre-screened and vetted.
Mid-level Data Engineer specializing in healthcare data platforms and streaming CDC pipelines
Mid-level Data Engineer specializing in lakehouse and cloud data platforms
Mid-level Data Engineer specializing in AWS, real-time pipelines, and ML/GenAI data platforms
Senior Marketing Analytics Manager specializing in performance marketing and attribution
Mid-level Product & Data Strategy professional specializing in AI and analytics
Mid-level Data Analyst specializing in predictive modeling, NLP, and real-time analytics
Mid-level AI/ML Engineer specializing in Generative AI, MLOps, and geospatial intelligence
Mid-level AI Engineer and Data Analyst specializing in ML, NLP, and financial forecasting
Senior GenAI Engineer specializing in production LLM systems and agentic AI
Mid-level GenAI/ML Engineer specializing in LLM agents and RAG for enterprise workflows
Mid-level Data Analyst specializing in healthcare and financial analytics
Mid-level Data Engineer specializing in real-time analytics and FinTech data platforms
Mid-level Data Analyst specializing in predictive analytics and BI for financial services
Junior Data Scientist specializing in applied machine learning and analytics
Senior Data Scientist specializing in marketing analytics, attribution, and revenue forecasting
Mid-level Data Engineer specializing in cloud data platforms and FinTech analytics
Junior Data Analyst specializing in automation, BI dashboards, and applied machine learning
Mid-level Data Analyst and Business Analyst specializing in BI, reporting, and analytics
Mid-level Data Analyst specializing in financial analytics and regulatory reporting
Mid-level Data Analyst specializing in analytics, BI, and data engineering
Junior Data Analyst specializing in analytics and performance reporting
shiva kumar kotha
Mid-level AI/ML Engineer specializing in Generative AI and healthcare data
“Built and deployed a production RAG-based document Q&A system on Azure OpenAI to help business teams search thousands of PDFs/Word files, using Qdrant vector search, MongoDB, and a Flask API. Demonstrates strong production engineering (streaming large-file ingestion, parallel preprocessing, monitoring/retries) plus systematic prompt/embedding/chunking experimentation to improve accuracy and reduce hallucinations, and has hands-on orchestration experience with ADF/Airflow/Databricks/Synapse.”