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Vetted Data Analysts in Remote
Pre-screened and vetted in Remote.
Junior Machine Learning Engineer specializing in benchmarking, NLP, and computer vision
Mid-level Data Scientist specializing in customer analytics, ML pipelines, and churn forecasting
Mid-level Data Scientist specializing in marketing analytics and scalable data platforms
Spandana Bellamkonda
Mid-level Data Analyst specializing in financial and telecom analytics
“Analytics candidate with hands-on experience at AT&T building SQL/Python pipelines for churn, usage, billing, and network-performance data at multi-million-row scale. Stands out for combining strong data quality and reconciliation practices with measurable operational impact, including a 30% query runtime improvement and ~8 hours/week of reporting automation savings.”
Mid-level Data Analyst specializing in financial and healthcare analytics
Mid-level Machine Learning Engineer specializing in MLOps, streaming analytics, and financial risk
Mid-level Data Engineer specializing in healthcare data platforms and streaming CDC pipelines
Mid-level Data Engineer specializing in AWS, real-time pipelines, and ML/GenAI data platforms
Senior Data Scientist specializing in marketing analytics, attribution, and revenue forecasting
Mid-level AI/ML Engineer specializing in Generative AI, LLMs, and NLP
Mid-level Data Analyst specializing in healthcare and financial services analytics
Mid-level Data Analyst specializing in BI, Snowflake, and financial and healthcare analytics
Sathvika Meka
Mid-level Data Analyst specializing in BI, analytics, and healthcare data
“Analytics professional at Optum with hands-on experience turning messy healthcare claims data from SQL, Excel, and CRM systems into validated reporting datasets and Power BI dashboards. They also built reproducible Python workflows for claims analysis and owned an end-to-end project focused on improving claims processing efficiency through metric design, segmentation, and stakeholder-driven operational improvements.”
Surya Vamshi Sriperambudooru
Mid-level AI Engineer specializing in healthcare claims analytics and RAG copilots
“Built a production "appeals co-pilot" for a healthcare claims appeals team, combining an XGBoost/logistic ranking model with a Python/LangChain RAG stack (FAISS + Mistral 7B) to surface high-probability appeal wins and speed policy-grounded drafting. Emphasizes reliability and trust: hybrid retrieval with metadata routing, citation/eval scripts, guardrails, and an explainability layer that non-technical stakeholders could understand and override.”
Junior Data Analyst and Software Engineer specializing in SQL, Python, and ML
Mid-level AI Engineer specializing in GenAI assistants, RAG pipelines, and fraud detection
Mid-level Data Analyst specializing in procurement and supply chain analytics
Mid-level Data Engineer specializing in AWS cloud data platforms and streaming analytics
Mid-level Data Analyst specializing in business, logistics, and procurement analytics
Mid-level Software Engineer specializing in AI/ML and full-stack systems