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Vetted Data & Analytics Professionals in Connecticut
Pre-screened and vetted in Connecticut.
Mid-level business analyst specializing in strategy, insights, and growth
Mid-level Data Scientist specializing in volatility forecasting and NLP
Mid-level Business Analyst specializing in financial services and healthcare operations
Senior Data Scientist specializing in applied AI/ML, MLOps, and multimodal analytics
Mid-level Data Scientist specializing in NLP, LLM document intelligence, and risk analytics
Mid-level Data Engineer specializing in cloud-native data pipelines and streaming
srilekha pothula
Mid-level Data Engineer specializing in cloud data pipelines for healthcare and financial services
“Data engineer with ~4 years of experience (Cigna) building and operating Azure Data Factory pipelines for healthcare claims/member/provider data at 2–3M records/day. Emphasizes reliability and downstream safety via schema/data-quality validation, quarantine workflows, idempotent processing, and backfills; also improved runtime ~20% through SQL optimization and served curated datasets through versioned views and well-documented, analyst-friendly interfaces.”
Shanmukh Gudapati
Mid-level Data Analyst specializing in business intelligence and cloud data platforms
“Healthcare analytics professional with TCS/Humana experience turning messy claims and eligibility data into reliable reporting assets using SQL and Python. They combine strong data engineering and analytics execution with stakeholder management, including automating monthly claims reporting from half a day to under 5 minutes and driving a provider outreach effort that reduced claim rejection rates by about 20%.”
Mid-level Data Platform Engineer specializing in analytics, SIEM telemetry, and cloud infrastructure
Senior Data Scientist specializing in analytics, ETL pipelines, and KPI dashboards
Mid-level Data Scientist specializing in GenAI, RAG, and multi-agent orchestration
Mid-level Data Scientist specializing in machine learning, NLP, and cloud analytics
Mid-level Business Data Analyst specializing in financial and healthcare analytics
Dhanush Chandra Sekhar
Junior Data Engineer specializing in data pipelines and streaming ingestion
“Backend/data platform engineer who owned a near-real-time patient feedback ingestion system, building a FastAPI + Kafka service with Snowflake/Airflow orchestration. Demonstrates strong production Kubernetes/GitOps practices on AWS EKS (Helm, Argo CD, Sealed Secrets) and solved real-time data integrity issues via idempotent processing with Redis.”
Sowmya Mogireddy
Mid-level Data Analyst specializing in analytics, BI, and predictive modeling
“Analytics professional with cross-domain experience spanning healthcare claims, logistics optimization, and customer booking funnels. They combine strong SQL/Python execution with stakeholder alignment and operational adoption, and can point to measurable impact including 18% healthcare cost optimization and 24% logistics savings.”
Junior Data Scientist specializing in machine learning and analytics
Mid-level Data Analyst specializing in BI, analytics, and data engineering