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Vetted Data Analysts in New York
Pre-screened and vetted in New York.
Junior Data Scientist specializing in applied machine learning and analytics
Junior Data Analyst specializing in automation, BI dashboards, and applied 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.”
Divyansh Agarwal
Junior Machine Learning Engineer specializing in computer vision and LLM applications
“Built and led an autonomous driving software effort for Formula Student, owning the full autonomy stack (perception, planning, control) orchestrated in ROS. Implemented stereo depth + YOLO object detection, RRT/RRT* planning, and a robust SLAM pipeline (Kalman filter, submapping) while leveraging Gazebo simulation and modern deployment tooling (Docker/Kubernetes, AWS, GitHub Actions CI/CD).”
Simon Malone
Intern Sales & Services and Sports Analytics Consultant specializing in hockey analytics
“Toronto-raised hockey player with experience in the GTHL and college hockey at UNC Chapel Hill who now works in the NHL focused on hockey analytics. Leverages a broad network across high school, college, and pro levels plus marketing/NIL awareness to advise players on development, recruiting outreach, and team/coach fit.”
Mid-level Data Engineer specializing in cloud ETL/ELT and analytics platforms
Harsha Sikha
Mid-level AI/ML Engineer specializing in Generative AI and data engineering
“IBM engineer who built and deployed a production RAG-based LLM assistant using LangChain/FAISS with a fine-tuned LLaMA model, served via FastAPI microservices on Kubernetes, achieving 99%+ uptime. Demonstrates strong practical expertise in reducing hallucinations (semantic chunking + metadata-driven retrieval) and managing latency, plus mature MLOps practices (Airflow/dbt pipelines, MLflow tracking, monitoring, A/B and shadow deployments) and effective collaboration with non-technical stakeholders.”
Junior Robotics & Machine Learning Engineer specializing in perception, SLAM, and control
Mid-level Data Analyst specializing in healthcare, manufacturing, and financial services
Mid-level Business Intelligence Engineer specializing in AI-powered analytics
Junior Systems & Software Engineer specializing in distributed systems and industrial automation
Mid-level Data Analyst/Data Engineer specializing in machine learning and NLP
Mid-level Data Analyst specializing in analytics, dashboards, and growth insights
Darshan Vithlani
Mid-Level Growth Marketer specializing in paid media, demand generation, and marketing analytics
“Performance-focused paid social creative lead with deep Meta experience in DTC/eCommerce for a bridal brand, owning strategy, briefs, testing, and QA while delegating production. Known for rapid iteration (8–12 variants/week) and measurable lifts (2.8 ROAS; CPA down 25%+), plus strong UGC direction and landing-page alignment that materially improves conversion.”
Srisailam Gitte
Mid-level Data Analyst specializing in ETL pipelines and business intelligence
“Analytics-focused candidate with hands-on experience building compliance and contract utilization reporting from messy contract, vendor, subcontractor, and payment data. They combine SQL and Python automation to improve reporting speed and accuracy, and show strong stakeholder discipline through validation sessions, documentation, and dashboard adoption.”
Junior Robotics Software Engineer specializing in autonomous systems and sensor fusion
Senior Engineering Manager specializing in AWS cloud-native distributed systems
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.”