Daniel Cohen

Daniel Cohen

Solutions Architect - Data and AI @ Gruve

About

Solutions Architect with data science, data engineering, and ML/AI experience consulting across Tech, IoT, Civic/Transit, Life Sciences, and Manufacturing. 7 years experience working with data analytics in a python ecosystem, customizing ETL pipelines, deploying ML models, and building Agentic AI applications. Always eager to find new opportunities to connect, please don't hesitate to reach out.

Country

United States

City

Princeton

Industry

Information Technology & Services

Skill

Agentic AI Development, Data Analytics, DevOps, Python (Programming Language), Databases, Cloud Services, Mentoring, GenAI, Large Language Models (LLM), Deep Learning, Unix, Machine Learning, Kubernetes, docker, SQL, Jenkins, API Development, Data Modeling, Time Series Analysis, Time Series Forecasting

Experience

Gruve

Solutions Architect - Data and AI

Gruve

LinkedIn
2025-12 - Present · 9 mos

Edison, New Jersey, United States

NTT DATA North America

Data Scientist/Big Data Developer

NTT DATA North America

LinkedIn
2019-7 - 2025-3 · 5 yrs 9 mos

Princeton, NJ

ScoutPro Osmolarity System

Biomedical Engineer

ScoutPro Osmolarity System

LinkedIn
2015-10 - 2019-5 · 3 yrs 8 mos

Greater San Diego Area

nanoComposix | Fortis Life Sciences

Research Associate

nanoComposix | Fortis Life Sciences

LinkedIn
2012-8 - 2015-3 · 2 yrs 8 mos

Greater San Diego Area

Cornell University

Senior Thesis Student, Estroff Research Group

Cornell University

LinkedIn
2011-8 - 2012-5 · 10 mos

Ithaca, NY

NASA - National Aeronautics and Space Administration

Summer Intern, Glenn Research Center

NASA - National Aeronautics and Space Administration

LinkedIn
2011-6 - 2011-8 · 3 mos

Cleveland, OH

Cornell University

Lab Assistant, Wiesner Research Group

Cornell University

LinkedIn
2010-1 - 2010-8 · 8 mos

Ithaca, New York

Education

Cornell University

Cornell University

LinkedIn
2008 - 2012 · 4 yrs

Daniel Cohen's Contact Information

Email

******@***.com

Phone

(**) *** ****

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