.png){kind=logo}
Vetted Data & Analytics Professionals in Remote
Pre-screened and vetted in Remote.
Popular Titles
Mid-level Data Engineer specializing in AWS, Snowflake, Databricks, and PySpark
Yashwanth Penugonda
Mid-level AI/ML Engineer specializing in LLMs, RAG, and production GenAI systems
“Built and deployed a production LLM-powered RAG knowledge system to unify operational/policy information across PDFs, wikis, and databases, emphasizing auditability and low-latency/cost performance. Improved answer relevance at scale by moving from pure vector search to hybrid retrieval with metadata filtering and reranking, and partnered closely with healthcare operations/compliance to define acceptance criteria and human-in-the-loop guardrails.”
Mid-level Data Engineer specializing in AI/ML, streaming, and lakehouse architectures
Mid-level Data Engineer specializing in AWS data platforms and streaming pipelines
Othmane Benyoucef
Executive AI & Data Engineering Leader specializing in LLM, RAG, and agentic AI systems
“Founder of a consultancy for 14 years with extensive experience managing multiple clients and projects simultaneously. Interested in leveraging AI to solve operational challenges and is seeking exposure to the venture capital/studio/accelerator ecosystem despite no direct VC experience.”
Mid-level Data Scientist specializing in Generative AI, RAG systems, and MLOps
Kundhana Paruchuru
Mid-level Data Scientist specializing in ML, LLM pipelines, and MLOps
“Built and deployed a production LLM-driven document understanding pipeline using LangChain/LangGraph, focusing on reliability via step-by-step prompting, validation checks, and monitoring. Also partnered with non-technical marketing stakeholders at Heartland Community Network to deliver an XGBoost targeting model surfaced in Power BI, improving campaign conversion by 12%.”
Panita Vaishnavi Kanaguduru
Mid-level Business Analyst specializing in retention, churn, and revenue analytics
“Early-career data analyst with hands-on experience at SuperWorld building SQL and Python analytics pipelines for product and growth use cases. They stand out for turning messy event and transaction data into validated funnel datasets, automating reporting to cut manual effort by ~40%, and partnering with product and marketing teams on conversion and engagement metrics.”
Junior Business Analyst specializing in data analytics and customer behavior insights
Snigdha Reddy Podduturi
Junior Data & AI Engineer specializing in cloud AI and analytics
“Built production AI backend systems in healthcare and e-commerce, including a healthcare agent that automated clinical workflows like medication refills, immunizations, and scheduling using FHIR APIs and cloud-native infrastructure. Strong in end-to-end backend ownership, LLM orchestration, and adding guardrails/validation for high-stakes and customer-facing AI workflows.”
Mid-level Data Scientist specializing in fraud detection and credit risk ML
Entry-Level Data Scientist specializing in LLM RAG systems and computer vision
Intern software engineer specializing in AI, data science, and full-stack development
Junior Data Scientist/Data Analyst specializing in machine learning and business intelligence