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Vetted Data & Analytics Professionals in Missouri
Pre-screened and vetted in Missouri.
Keerthana Tammina
Mid-level Data Scientist specializing in machine learning and generative AI
“ML/LLM engineer who has shipped a production transformer-based document understanding system on AWS, owning the full pipeline from domain fine-tuning to Dockerized CI/CD deployment. Demonstrates strong production rigor—latency optimization (distillation/quantization, async batching, autoscaling), orchestration with Airflow/Step Functions/Azure Data Factory, and monitoring/drift detection—plus experience translating ops stakeholder needs into adopted AI automation via dashboards.”
Mid-level Data Engineer specializing in lakehouse platforms and healthcare data
Kamal Ede
Mid-level Data Engineer specializing in cloud data platforms, Spark, and streaming pipelines
“Data/MLOps engineer (Cognizant background) who owned an AWS/Airflow/Snowflake healthcare transactions pipeline processing ~8–10M records/day and cut pipeline/data-quality incidents by ~33%. Also built and deployed a production FastAPI model-inference service on Kubernetes (Docker, HPA) with strong observability (Prometheus/Grafana), versioned endpoints, and resilient backfill/idempotent external data ingestion patterns.”
Mid-level Data Scientist specializing in reinforcement learning, GNNs, and LLM agent systems
Senior Data Engineer specializing in AWS and Snowflake lakehouse platforms
Senior Data & Backend Engineer specializing in regulated data platforms (Healthcare, Legal, Financial)
Senior Power BI Developer specializing in healthcare and financial analytics
Mid-level Data Analyst specializing in financial, operational, and regulatory reporting
Sridharan Kairmaknoda
Mid-level Data Engineer specializing in cloud data platforms and real-time analytics
“Customer-facing data engineering professional who builds and deploys real-time reporting/dashboard solutions, gathering reporting and compliance requirements through direct stakeholder engagement. Experienced with Google Cloud IAM governance, secure integrations (encryption, audit logging), and fast production troubleshooting of ETL/pipeline failures with follow-on monitoring and automated recovery improvements; motivated by hands-on, travel-oriented customer work.”
Mid-level Business Analyst specializing in enterprise process improvement and BI
Mid-Level Data Engineer specializing in scalable ETL/ELT pipelines and cloud data platforms
Mid-level Data Scientist / AI/ML Engineer specializing in Generative AI and healthcare analytics
Senior Data Analyst specializing in BI dashboards, automation, and forecasting
Mid-level Data Scientist specializing in Healthcare ML and Generative AI
Mid-level Data Scientist specializing in machine learning and analytics
Mid-level Data Scientist specializing in Healthcare ML and Generative AI
Mid-level Data Engineer specializing in cloud ETL/ELT and real-time streaming
Mid-level Data Scientist specializing in Healthcare ML and Generative AI
jayanth velugubantla
Junior Business Analyst specializing in customer analytics and BI
“Analytics professional with hands-on experience building SQL and Python workflows that turn messy multi-system data into reliable reporting. They’ve delivered measurable impact through automation and customer retention analytics, including cutting month-end reporting from 5 days to 1 day and supporting a churn reduction of about 12%.”
Junior Data Analyst and Business Analyst specializing in BI and process analytics
Mid-level Data Scientist / AI-ML Engineer specializing in MLOps, geospatial analytics, and GenAI
Mid-level Data Scientist / AI/ML Engineer specializing in MLOps, geospatial analytics, and GenAI