Pre-screened and vetted in Texas.
Intern Data Engineer specializing in Snowflake pipelines and AI/ML analytics
“Built and operated an end-to-end TypeScript/Node AI agent platform for high-volume financial data that generates explainable investment signals and automates execution via resilient Playwright browser automation. Uses Postgres + pgvector/Prisma for RAG retrieval, Redis for async orchestration, Zod-based boundary validation as a circuit breaker, and OpenTelemetry for tracing/latency monitoring; also designed a TypeScript SDK with semver, scoped bearer-token auth, CLI key rotation, and interactive Swagger docs.”
Mid-level Data Analyst specializing in FinTech and e-commerce analytics
“Analytics professional with experience spanning financial services and e-commerce, including NAV reconciliation/reporting at State Street and revenue optimization work on checkout and retention. Stands out for combining strong SQL/Python data engineering with business-facing analytics, delivering measurable gains like 3-5% conversion improvement and 8-10% payment success uplift.”
Mid-level Data Scientist specializing in healthcare ML and GenAI
“Healthcare data/NLP practitioner with experience at UnitedHealthcare building production ML systems that connect unstructured call center transcripts and medical notes to structured claims data. Has delivered measurable impact (25% classification accuracy lift; ~30% relevance improvement) using classical NLP, embeddings (Sentence-BERT + FAISS), and AWS SageMaker deployments with robust validation and drift monitoring.”
Mid-level Data Scientist/Data Analyst specializing in ML, BI dashboards, and ETL pipelines
“Data/ML practitioner with experience at Humana and Hexaware, focused on turning messy, semi-structured datasets into production-ready pipelines. Built an age-prediction model from book ratings using heavy feature engineering and multiple regression models, and has hands-on entity resolution (deterministic + fuzzy matching) plus embeddings/vector DB approaches for linking and search relevance.”
Mid-level Data Engineer specializing in cloud data pipelines and machine learning
“Experience spans college-built AWS-hosted Python/Flask web apps and enterprise data work at General Motors, including PostgreSQL query optimization on millions of records and multi-tenant-style data isolation using group-based, column-level permission grants. Also built an AWS-hosted meat price prediction dashboard using Dash/Plotly and ran large nightly data pipelines orchestrated with Apache Airflow.”
Mid-level Data Engineer specializing in cloud data pipelines, analytics, and AI/ML
Mid-level Data Analyst specializing in financial analytics and reporting
Mid-level Data Analyst and ML Engineer specializing in analytics, dashboards, and model deployment
Senior Data Engineer specializing in Azure lakehouse and healthcare interoperability
Mid-level Data Scientist specializing in Generative AI, NLP, and computer vision
Mid-level AI/ML Engineer specializing in MLOps and LLM applications
Mid-level Data Scientist specializing in financial risk modeling and healthcare analytics
Senior Data Engineer specializing in cloud-native data pipelines and data quality
Mid-level BI and Data Analyst specializing in dashboards, automation, and cloud analytics
Mid-level Business Systems Analyst specializing in payroll and workforce reporting
Mid-level Data Engineer specializing in cloud lakehouse, ETL automation, and healthcare analytics
Mid-level Data Engineer specializing in cloud data platforms and healthcare analytics
Senior Product Business Analyst specializing in FinTech and SaaS implementations
Director-level Data Engineering Manager specializing in cloud data lakes and analytics platforms
Mid-level Data Engineer specializing in cloud ETL/ELT and data warehousing
Mid-level Business Analyst specializing in data-driven enterprise systems