Promit Ray
Data Science and Ai Consultant @Ekaagra Solutions
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WORK HISTORY
Data Science and Ai Consultant @Ekaagra Solutions
Berlin, DE
Freelance consultant specializing in data science and AI. I collaborate on applied research projects, develop data-driven workflows, and design and deliver educational modules in data science and artificial intelligence.
EDUCATION
Jawaharlal Nehru Centre for Advanced Scientific Research
Master of Science (MS), Chemical Sciences
thePower
Master of Business Administration - MBA, Business Administration and Management, General
Jawaharlal Nehru Center for Advanced Scientific Research
Diploma, Chemistry
Loyola College
Bachelor's degree, Chemistry
The University of Bonn
Doctor of Philosophy (PhD), Mulliken Center for Theoretical Chemistry: Molecular Simulations and Modeling, Materials Science
ABOUT PROMIT RAY
I work as an independent AI and data science consultant, helping teams build systems that actually get used. I build data science and AI systems that actually get used. I’m a computational scientist by training, now working at the intersection of AI, machine learning, and practical implementation. My focus is turning complex data and models into reliable systems that operate under real-world constraints. Today, that happens in three connected ways. 1) AI Leverage Starter™: Independent Consultant I work 1:1 with founders, CTOs, and operators who want a working AI or data solution, not a slide deck. In focused engagements, we identify a high-impact problem and implement a concrete solution. This can include AI-powered internal tools, decision-support systems, data science models, analytics layers, or production-ready AI components integrated into your stack. The goal is measurable leverage: time saved, better decisions, or new capability — combined with knowledge transfer so your team can extend the solution independently. 2) Rayol AI Solutions – Co-founder / Chief AI Officer Here I step in as a co-founder-style Chief AI Officer for organizations that need AI and data science embedded across teams and products. This includes AI strategy, systems architecture, data foundations, implementation leadership, and governance: building long-term AI capability rather than isolated experiments. 3) Scivalon: Technical Co-founder With Scivalon, I build AI and data systems for researchers and labs: literature intelligence, structured knowledge systems, experiment planning tools, and scientific analysis workflows. This connects directly to my PhD background in computational science, translating scientific computing and modelling into tools that make research faster and more reproducible. Across all three paths, the principles remain constant: • Strong data and scientific foundations • Hands-on systems built with real constraints • Clear communication so teams trust and adopt what we build If you’re a founder, leadership team, or research group looking to implement real AI and data capability, feel free to connect or reach out at p••••••••@gmail.com
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