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Vetted Data & Analytics Professionals in the NYC Metro
Pre-screened and vetted in the NYC Metro.
Popular Titles
Mid-level Data Analyst specializing in CRM and business intelligence analytics
Junior Systems & Software Engineer specializing in distributed systems and industrial automation
Senior Data Engineer specializing in cloud data platforms and lakehouse architecture
Mid-level Data Scientist specializing in machine learning, computer vision, and generative AI
Senior Lead Data Engineer specializing in cloud data platforms and real-time ML pipelines
Mid-level Data Analyst/Data Engineer specializing in machine learning and NLP
Mid-level Data Analyst specializing in analytics, dashboards, and growth insights
Senior Private Equity & Growth Equity Analyst specializing in M&A and fundraising
bharath burgoju
Mid-Level Data Engineer specializing in cloud data pipelines and big data platforms
“Data engineer with ~4 years of experience building Python-based data ingestion/processing services and real-time streaming pipelines (Kafka/PubSub + Spark Structured Streaming). Has deployed containerized data applications on Kubernetes with GitLab CI/Jenkins pipelines and applied GitOps to cut deployment time ~40% while reducing config drift. Also supported a legacy on-prem data warehouse/backend migration to GCP using phased migration and parallel validation to meet strict reliability/SLA needs.”
Junior Data Engineer specializing in cloud ETL/ELT and lakehouse platforms
Harsh Patel
Senior Data Scientist specializing in LLM applications, RAG systems, and production ML
“Senior Data Scientist in consulting who has built production RAG systems for insurance/annuity document search at large scale (100K+ PDF pages), emphasizing grounded answers, guardrails, and low-latency retrieval. Experienced in end-to-end MLOps for LLM apps—monitoring, evaluation sets, drift handling, and safe rollouts—and in orchestrating complex pipelines with Prefect/Airflow and deploying services on Kubernetes.”
Tarun Kethireddy
Mid-level Business Analyst specializing in analytics, e-commerce, and supply chain
“Marketing analytics candidate who combines strong SQL data engineering with Python automation to turn messy GA4, Instagram, and Postgres data into reliable reporting and decision tools. They’ve built cohort- and retention-based measurement frameworks that shifted teams away from vanity metrics, improved campaign allocation, and drove roughly 30% better two-week retention.”
Intern Data Analyst and Software Engineer specializing in AI/ML and data platforms
Director-level Data & Analytics Manager specializing in ML, Snowflake ELT, and RAG
Mid-level Data Engineer specializing in AI, analytics, and cloud data platforms
Radhika Mangroliya
Senior Data Scientist / AI Engineer specializing in LLMs, RAG, and production ML
“Data science professional who has built a production RAG-based LLM question-answering system ("Flash Query") to deliver fast, accurate answers over large document collections, focusing on retrieval quality and grounded responses. Also collaborates with non-technical retail/jewelry stakeholders to turn business questions into predictive models and dashboards for decision-making.”
Shreya Patel
Junior Electrical and Computer Engineer specializing in ASIC, embedded systems, and RF design
“Candidate has hands-on hardware experience fabricating a MIMO UWB antenna, including identifying mathematical design parameters, using simulation software, and validating performance through S-parameter results. Also mentions using Figma for design work, though details on workflow and collaboration were limited.”
Junior Backend Engineer specializing in Python, Kubernetes, and Kafka streaming
Mid-level Business Analyst specializing in data analytics and supply chain reporting
Mid-level Business Analyst specializing in financial services and analytics
Mid-level Data Analyst specializing in business intelligence and marketing operations
Sai Vamsee Bandaru
Entry-level Data Analyst and AI Engineer specializing in machine learning and LLM systems
“Founding-engineer-oriented full-stack product engineer who built an AI tutor system end-to-end, spanning React UI, FastAPI backend, retrieval/LLM pipelines, and Postgres optimization. Stands out for combining product thinking with deep systems work: improving onboarding and activation, shipping quickly with beta users, and abstracting reusable retrieval infrastructure for multiple use cases.”