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Vetted Data & Analytics Professionals
Pre-screened and vetted.
Popular Titles
Mid-level Data Scientist / AI/ML Engineer specializing in financial services and GenAI
Mid-level Data Scientist specializing in ML, NLP, and scalable data pipelines
Mid-level Data Scientist specializing in pricing, revenue optimization, and operational efficiency
Mid-level Data Scientist specializing in NLP, risk analytics, and MLOps
Mid-level Data Scientist specializing in ML, MLOps, and applied risk modeling
Mid-level AI/Data Engineer specializing in LLMs, RAG pipelines, and cloud data platforms
Mid-level Data Scientist specializing in GenAI, NLP, and cloud MLOps
Mid-level Data Scientist specializing in recommendations, search relevance, and NLP
Mid-level Data Scientist specializing in ML, NLP, and forecasting across finance and retail
Mid-level Data Engineer specializing in cloud-native ETL/ELT and Snowflake analytics platforms
Senior Data Engineer specializing in cloud lakehouse platforms for banking and healthcare
Mid-level Data Engineer specializing in cloud data platforms and BI analytics
Mid-level Data Scientist specializing in ML, NLP, and LLM-powered analytics
Pranali Redij
Marketing Analytics & Marketing Operations professional specializing in CRM and automation
“Lifecycle/CRM marketer with hands-on HubSpot expertise who improves funnel performance by fixing data foundations (workflow logic + validation), then building lifecycle segmentation, nurture sequences, and measurement dashboards tied to CAC/ARR. Has driven measurable lifts in data accuracy, early lifecycle engagement, and lead qualification through targeted messaging and A/B-tested email optimization across companies including Wicket and Beekind.”
Mid-level Data Scientist specializing in ML and Generative AI (LLMs, NLP, Computer Vision)
Senior Data Engineer specializing in forecasting, analytics platforms, and BI
Mid-level Data Scientist / AI/ML Engineer specializing in Generative AI and healthcare analytics
Poojitha Vajja
Mid-level Data Scientist / ML Engineer specializing in healthcare predictive analytics and NLP
“Built and deployed a real-time hospital readmission risk prediction system at NYU Langone Health, combining structured EHR data with BERT-based NLP on clinical notes and serving predictions to clinicians via Azure ML and FHIR APIs. Emphasizes production reliability and clinical trust through SHAP-based explainability and robust healthcare data preprocessing, and reports a 22% reduction in 30-day readmissions.”
Divya Ganapala
Mid-level Data Scientist specializing in cloud ML, MLOps, and predictive analytics
“NLP/ML engineer with hands-on healthcare and support-ticket text experience, building clinical-note structuring and semantic linking systems using spaCy, BERT clinical embeddings, and FAISS. Emphasizes production-grade delivery (Airflow/Databricks, PySpark, Docker, AWS/FastAPI/Lambda) and rigorous validation via clinician-labeled datasets, retrieval metrics, and user feedback.”
sriram Yalamati
Mid-level Data Engineer specializing in healthcare data platforms and MLOps
“ML/NLP practitioner with healthcare payer experience at HCSC, focused on connecting messy unstructured clinical notes to structured claims/provider data to improve fraud-analytics workflows. Has hands-on experience fine-tuning transformers in AWS SageMaker, building large-scale embedding search with FAISS, and implementing robust entity resolution using golden datasets, precision/recall calibration, and production monitoring for drift.”