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Vetted Data & Analytics Professionals in New York
Pre-screened and vetted in New York.
Popular Titles
Senior Data Scientist specializing in applied ML, NLP, and computer vision
Mid-level Data Engineer specializing in cloud lakehouse and scalable data pipelines
Senior Data Engineer specializing in cloud ELT/ETL and data warehousing
Mid-level Data Scientist specializing in experimentation, personalization, and decision intelligence
Mid-level Data Engineer specializing in lakehouse and cloud data platforms
Mid-level Data Analyst specializing in healthcare and financial analytics
Mid-level Data Scientist specializing in GenAI, NLP, and recommendation systems
Mid-level Data Analyst specializing in predictive analytics and BI for financial services
Junior Data Scientist specializing in applied machine learning and analytics
Junior Data Analyst specializing in automation, BI dashboards, and applied machine learning
Mid-level Data Engineer specializing in Azure data platforms and near real-time pipelines
Entry-level data engineer specializing in analytics and machine learning
Likitha Reddy Kotla
Mid-level Business Analyst specializing in BI and analytics
“Analytics professional with Dell experience unifying global online sales, web analytics, SAP, and planning data across 20+ countries into scalable reporting pipelines and Power BI dashboards. Stands out for combining deep SQL/ETL work with Python automation, KPI design, and experimentation—delivering measurable outcomes like 80% less manual effort, a 2% conversion lift worth millions, and faster business decision-making.”
Ram Jayesh Parekh
Junior Data Analyst specializing in ML, NLP, and cloud data pipelines
“Built and deployed a GenAI-powered PhD career intelligence platform at NYU that maps academic backgrounds to career paths and converts long academic CVs into job-ready resumes. Stands out for treating LLM systems as structured production pipelines—combining NLP extraction, embeddings, orchestration, and AWS deployment—to improve recommendation quality and cut resume preparation time by 70%.”
Intern Data Analyst specializing in product, marketing, and business analytics
Mid-level Data Engineer specializing in cloud ETL, Spark, and analytics platforms
Principal Cloud Data Engineering Leader specializing in lakehouse and streaming platforms
Senior BI Analyst specializing in analytics automation and financial services
Entry-level Backend Engineer specializing in distributed systems
Mid-level Data Scientist specializing in credit risk and fraud analytics
Mid-level Data Engineer specializing in cloud ETL/ELT and analytics platforms