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Vetted Exploratory Data Analysis Professionals
Pre-screened and vetted.
Junior Data & BI Analyst specializing in analytics engineering, NLP, and financial risk analytics
Junior Data Analyst specializing in reporting, automation, and business process improvement
Intern Data Scientist and GenAI Software Engineering specializing in ML and LLM evaluation
Mid-level Data Analyst specializing in BI and healthcare insurance analytics
Vishesh Patel
Junior AI/ML Engineer specializing in Python ML, NLP, and model deployment
“Built and productionized a real-time social-media sentiment analysis system used by a marketing team to monitor brand/campaign performance. Experienced in orchestrating LLM workflows with LangChain (validation → prompting → parsing → post-processing), plus monitoring, retraining, and RAG-style retrieval using embeddings/vector stores to keep outputs reliable over time.”
Mid-level Data Scientist / AI Research Engineer specializing in LLMs, RAG, and applied ML
Mid-level AI/ML Engineer specializing in LLM automation and data ingestion systems
Mid-level Data Analyst specializing in BI, reporting automation, and operational analytics
Junior Machine Learning Engineer specializing in healthcare and IT analytics
Mid-level AI/LLM Application Engineer specializing in RAG, agents, and Python/PyTorch
Mid-level Generative AI Engineer specializing in LLMs, RAG, and MLOps
Mid-level Full-Stack Developer specializing in React, Node.js, and AI automation
Junior Software Engineer specializing in data analytics and machine learning
Entry-Level Full-Stack Engineer specializing in backend APIs and cloud architectures
Mid-level Generative AI Engineer specializing in LLMs, RAG, and agentic systems
Mahaboob Johny
Mid-level Data Analyst specializing in SQL/Python analytics, ETL pipelines, and BI dashboards
“Data/AI practitioner who built a production LLM-driven healthcare claims analytics and dashboarding system to reduce avoidable ER visits—processing 1.4M+ claims, flagging 19% as non-emergent, and projecting ~$2.8M in annual savings. Demonstrates strong real-world LLM reliability and performance engineering (grounding, numeric validation, caching, materialized views, quantization) plus orchestration experience with Airflow and Azure Data Factory.”
Entry-Level Software Engineer specializing in full-stack web development and cybersecurity
namratha sai
Junior Healthcare Data Analyst specializing in clinical data validation and EHR/claims analytics
“QA/supplier-performance focused candidate who uses defect and delivery data to spot recurring issues early, identify root causes tied to rushed timelines/high workload, and implement practical process changes (e.g., added validation steps and tightened defect definitions). Emphasizes clear, metric-backed communication to align internal stakeholders and suppliers, then monitors post-change results to confirm sustained improvement.”