Data Product Portal created by Dataminded
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Updated
May 29, 2026 - Python
Data Product Portal created by Dataminded
Code examples showing flow deployment to various types of infrastructure
Home of the Open Data Product Standard (ODPS).
A Postgres interface into any database
Tibor Zahorecz product management projects.
Project demonstrating how to automate Prefect 2.0 deployments to AWS EKS
Repository for causal case studies of the Digital Causality Lab
Portfolio project showcasing how enterprise data products and AI models can be governed for safe AI-agent consumption. I designed the governance logic, data model and product framework; built with Python, Streamlit and AI-assisted development.
Bitrovas Data Marketplace (marketing & discovery)
Repository designed for the course "Design Thinking and Predictive Analytics for Data Products" at the University of California San Diego.
Nextdata OS is a unified, automated data management platform for unstructured and structured data, designed for AI and analytics workloads. Founded by Zhamak Dehghani (creator of the data mesh paradigm), Nextdata enables organizations to build autonomous data products with embedded governance and discovery.
Open Data Mesh Platform control plane service to manage data products accesses.
Repository which consists different code snippets and projects for my personal lessons recorded at the University of San Francisco in during learning of the Machine Learning.
Earnings assistant: turns messy IR docs into KPIs, AI summaries, and Q&A for PMs & analysts.
Enterprise-grade data architecture for federal market intelligence. Features modern data mesh implementation, automated feature engineering, and self-service analytics for government contracting, IT investments, and procurement data. Built for organizations requiring sophisticated federal data analysis capabilities.
AI-powered decision intelligence system for Formula 1 strategy analysis, transforming race documents and OpenF1 telemetry into evidence-backed timelines and strategic insights using local LLMs.
Operationalising sector semantics (Nbility, NBNL, CIM) across distributed data products and teams to improve interoperability, governance, and architectural coherence.
Personal portfolio showcasing end-to-end Data Science projects, with a focus on business-driven analysis, machine learning, and production-ready solutions.
Enable AI agents to discover, price, and transact datasets using Bitcoin Lightning in a machine-readable data marketplace system.
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