Vetted Data Scientists in the Greater Miami

Pre-screened and vetted in the Greater Miami.

SM

Senior AI/ML Data Scientist specializing in cloud-deployed NLP, CV, and MLOps

Miami, FL8y exp
AllocationsUniversity of Texas at El Paso
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KD

Mid-level Business Analyst specializing in banking analytics and data engineering

Hollywood, FL4y exp
SantanderIndiana University Bloomington

Analytics professional at Santander Bank with hands-on experience building SQL and Python workflows for transaction reporting, reconciliation, and monitoring across messy multi-source financial data. They combine strong data validation and exception-handling practices with stakeholder-friendly dashboards, and also bring digital analytics experience from a Google Analytics UI optimization project focused on funnel drop-off and engagement.

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PS

Senior AI Engineer specializing in LLMs, machine learning, and healthcare AI

Miami, FL5y exp
AnacondaArizona State University
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KS

Krish Shah

Screened

Junior AI Engineer specializing in LLM systems and analytics

Miami, FL2y exp
CoUnderscorePurdue University

Analytics-focused candidate with internship and project experience at Recotap and CoUnderscore, combining SQL, Python, and BI dashboards to turn messy marketing and engagement data into decision-ready reporting. Stands out for tying analytics work to business outcomes, including ~15% CTR improvement, identifying ~40% misattributed spend, and enabling a ~$75K budget shift through better targeting.

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VA

Senior Data Scientist / GenAI Engineer specializing in RAG, NLP, and MLOps

Miami, FL7y exp
Coverage XUniversity of New Hampshire
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MM

Manisha M

Screened

Senior AI/ML Engineer specializing in Generative AI and MLOps

Hollywood, FL7y exp
First Commonwealth BankJawaharlal Nehru Technological University

ML engineer with hands-on experience building banking AI systems end-to-end, including a customer-targeting model that improved campaign response rates by about 10%. Also shipped a RAG-based banking FAQ/support feature with safety guardrails and production optimizations around retrieval quality, latency, and cost, plus reusable Python services that reduced duplicate work for other engineers.

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