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Vetted Data & Analytics Professionals in Remote
Pre-screened and vetted in Remote.
Popular Titles
Lakshmi Somavarapu
Mid-level Data Scientist specializing in AI/ML for finance and investment analytics
gagan chandra Motamarri
Mid-level Data Scientist specializing in LLMs, RAG, and ML systems for finance and healthcare
Adeshri Chavan
Junior Customer Success Business Analyst specializing in B2B SaaS analytics and retention
BHEEMA SABILLA
Mid-level Data Engineer specializing in Lakehouse, Streaming, and ML/LLM data systems
“Built and productionized an enterprise retrieval-augmented generation platform for internal knowledge over large unstructured corpora, emphasizing trust via strict citation/grounding and hybrid retrieval (BM25 + FAISS + cross-encoder re-ranking). Demonstrates strong scaling and cost/latency optimization through incremental indexing/embedding and index partitioning, plus disciplined evaluation/observability practices. Has experience operationalizing pipelines with Airflow/Databricks/GitHub Actions and partnering closely with risk & compliance stakeholders on auditability requirements.”
Srishti Rath
Junior Data Analyst and Software Engineer specializing in SQL, Python, and ML
Nisha Kumar
Senior Business Analyst specializing in SaaS implementations and enterprise systems
Bharath Reddy
Mid-level Data Engineer specializing in financial risk, compliance, and real-time streaming
Kellen Hosfeld
Mid-level Game Engine Tester and LiDAR Labeling Analyst in autonomous vehicles
Kavya Sree Maniga
Mid-level Data Engineer specializing in real-time streaming pipelines and healthcare data
HarshavardhanReddy Ala
Mid-level Data Engineer specializing in reliable data pipelines, metadata enrichment, and APIs
Darrian Morrissette
Mid-level Software QA Analyst specializing in Healthcare IT and EHR workflows
Asanti Mokwala
Junior Data & Insights Analyst specializing in BI, dashboards, and automation
“Worked on taking an LLM-based system at Soundmakr from prototype to production by adding prompt constraints, validation/guardrails, deterministic ranking, and robust logging/monitoring with feedback loops. Also partnered with product/marketing during an internship on Thea: Study Smart to analyze onboarding drop-offs and run A/B tests on AI-driven flows, translating results into actions that improved retention and conversion.”
Andrew Clayman
Senior Data Scientist specializing in ML, NLP, and production AI systems
“Machine learning/NLP engineer with deep Azure stack experience (Data Factory, Databricks/Spark, Delta Lake, Azure OpenAI, Azure AI Search) who built end-to-end production systems for semantic clustering, entity resolution, and hybrid search. Demonstrated measurable gains from embedding fine-tuning (~15% retrieval precision, ~10–12% nDCG@10) and designed scalable, quality-checked pipelines with MLOps best practices.”
Laxmiprasanna Dornala
Mid-level Data Scientist & AI/ML Engineer specializing in GenAI, NLP, and predictive modeling
Aaschita Reddy
Mid-level Data Scientist specializing in ML, NLP, and cloud data platforms
Lerone Pieters
Senior Data Engineer specializing in cloud data platforms and real-time analytics
Shravani Kodari
Mid-level Data Engineer specializing in cloud data platforms and ETL/ELT
Abbas Ibrahim
Mid-level Data Scientist specializing in GenAI/LLMs and MLOps for healthcare analytics
Abhilash Budharapu
Mid-level AI/Data Engineer specializing in generative AI and RAG systems
Jonathan Harvey
Senior Data Engineer specializing in AWS cloud data platforms and streaming pipelines
Pruthviraj Kondagorry
Mid-level Data Engineer specializing in AWS data platforms and streaming pipelines
Vikas Venkannagari
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%.”