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Vetted Data Analysts
Pre-screened and vetted.
Ranfei Pang
Mid-Level Software Engineer specializing in FinTech backend and distributed systems
Prachi Sanghvi
Mid-Level Software Development Engineer specializing in AWS and demand forecasting
Darren Chang
Junior Machine Learning Engineer specializing in benchmarking, NLP, and computer vision
Alveena Nadeem
Intern Full-Stack/AI Engineer specializing in NLP and Responsible AI
Srilekha Allam
Mid-level AI/ML Engineer specializing in NLP, computer vision, and MLOps
Deva Yarlagadda
Senior Product Manager specializing in B2B SaaS MarTech/AdTech and AI automation
Apratim Mishra
Mid-level Machine Learning Engineer specializing in LLMs and ML at scale
abhay barage
Mid-level Machine Learning & Biostatistics professional specializing in healthcare AI
Shanay Wadhwani
Mid-level Data Scientist specializing in geospatial computer vision and ML
Anuk Dissanayake
Staff/Lead AI Engineer specializing in LLMOps, RAG, and Azure-based ML platforms
Christopher Chaney
Senior Python/ML Engineer specializing in LLM-powered backend systems
Jeffery Jung
Mid-level Data Analyst specializing in ETL, data quality, and entity resolution
Yakub Reddy
Mid-level Data Analyst & ML Engineer specializing in GenAI, NLP, and cloud data pipelines
Shaik Mohammed Ashik
Mid-level Data Scientist specializing in customer analytics, ML pipelines, and churn forecasting
kartikey agarwal
Intern Data Scientist specializing in NLP and Large Language Models
Harneet Bali
Junior AI Product Engineer specializing in LLM workflows and analytics automation
Shanay Wadhwani
Mid-level Data Scientist specializing in geospatial ML and NLP
Harish Reddy
Mid-level Data Scientist specializing in marketing analytics and scalable data platforms
Priyanshu Maurya
Mid-level Data Scientist specializing in insurance, finance, and healthcare analytics
“Built and productionized LLM-driven sentiment scoring for earnings call transcripts at Goldman Sachs, replacing legacy NLP to deliver a cleaner trading signal while managing latency/cost via batching, caching, and distilled models. Also implemented an Airflow-orchestrated fraud modeling pipeline at MetLife with drift-based retraining and SageMaker deployment, and has a disciplined evaluation/rollout framework for reliable AI workflows.”
Aigo Madakimova
Senior Data Analyst specializing in audit analytics, automation, and financial data platforms
“Full-stack engineer with strong Next.js App Router + TypeScript experience who built and owned a production internal analytics dashboard end-to-end, including server-component data fetching, route handlers for secure proxying, and post-launch monitoring/caching fixes. Also designed Postgres data models and performance-tuned analytics queries, and built reliable BullMQ/Redis-based order-fulfillment workflows with idempotency, retries, and compensating refunds—comfortable operating with high ownership in early-stage teams.”
Sayuj Shah
Mid-level Data Analyst & AI Practitioner specializing in ML, LLMs, and analytics platforms
“Data Analyst at U.S. Cellular who built production LLM solutions, including a Tableau-embedded chatbot that converts natural language questions into Oracle SQL and returns actionable KPI insights for non-technical users. Also authored MAD-CTI, a multi-agent LLM system for dark web hacker forum threat intelligence (published in IEEE Access) that outperformed single-agent approaches by 14%.”
Deenanadh Polavarapu
Mid-level Data Scientist specializing in machine learning, analytics, and cloud data pipelines