Vetted Business Analysts in the NYC Metro

“Healthcare analytics professional with TCS/Humana experience turning messy claims and eligibility data into reliable reporting assets using SQL and Python. They combine strong data engineering and analytics execution with stakeholder management, including automating monthly claims reporting from half a day to under 5 minutes and driving a provider outreach effort that reduced claim rejection rates by about 20%.”

“Built a prediction market analytics website from scratch to analyze volume and correlations in decentralized markets, drawing on a sports and finance background. Shows strong early-stage product instincts, backend ownership, and a pragmatic approach to scalability, security, and AI-assisted data workflows.”

“Chief of Staff at Molecular Affinities and former Investor Relations & Operations manager at JCAM Investments, with hands-on experience supporting capital raising while simultaneously tightening operations (website, investor onboarding, back office). Strong operator who implements and drives adoption of systems like HubSpot, Asana, and Slack to improve executive productivity and team accountability.”

“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.”

Sonam Chhatani

Screened

Mid-level AI Engineer specializing in causal inference and LLM research

New York, USA8y exp

“LLM engineer who has deployed a production system combining LLMs with causal inference (DoWhy) to enable counterfactual “what-if” analysis for experimental research, including a robust variable-mapping/validation layer to reduce hallucinations. Also partnered with non-technical operations leadership at Irriion Technologies to deliver an AI-assisted onboarding workflow that cut onboarding time by 50% and reduced manual errors by ~40%.”

“SMB outbound sales candidate with cold-calling experience focused on restaurants and bars, making roughly 60-80 calls per day across shared markets. Stands out for strong rapport-building with owners and gatekeepers, using personalization and Atlanta market familiarity to win meetings, and shows initiative by applying prospecting tactics to her own job search.”

“Growth-stage accounting/fintech operator at ClearBooks CPA who evolved from executing client onboarding and reporting to building AI-enabled operating infrastructure. They used Claude and ChatGPT to automate data validation and executive financial narratives, cutting onboarding time by 30% and reporting turnaround by 25%, while also introducing team cadence and CRM-based accountability that helped drive a 15% lift in client conversion.”