Person

Alexey Grigorev

Founder of DataTalks.Club and recurring contributor on data teams, MLOps, community building, and open education.

Background

Alexey Grigorev is the founder of DataTalks.Club. In the podcast archive he appears both as host and as a subject-matter contributor on how the community, courses, and practical data education have evolved.

Podcast Contributions

• Data Team Roles Explained frames data work as a collaboration between data analysis, data engineering, machine learning, MLOps, product management, and leadership.
• CRISP-DM Methodology for Data Science Projects gives the archive an early reference point for project structure, business understanding, modeling, evaluation, and deployment.
• DataTalks.Club Behind the Scenes and Building a Sustainable Data Community document the operational side of growing a technical learning community.
• Inside Scaling DataTalks.Club connects the free Data Engineering, MLOps, and LLM courses to community growth and career transition pathways.

Concepts Connected

• community building as a durable operating model for meetups, courses, and peer learning.
• data engineering and MLOps as recurring course and podcast pillars.
• LLMs as a newer curriculum and community focus.
• career transition and teaching as practical outcomes of open education.

Source Links

• Person source: ../datatalksclub.github.io/_people/alexeygrigorev.md
• Podcast sources: ../datatalksclub.github.io/_podcast/data-team-roles.md, ../datatalksclub.github.io/_podcast/crisp-dm.md, ../datatalksclub.github.io/_podcast/datatalksclub-building-scaling-data-community.md, ../datatalksclub.github.io/_podcast/datatalksclub-building-sustainable-data-community-3-years-anniversary.md, ../datatalksclub.github.io/_podcast/datatalksclub-scaling-and-free-courses.md

Podcast Discussions

• CRISP-DM Methodology for Data Science Projects: Business Understanding, Data Preparation, Modeling, Evaluation & Deployment. Related topics: data science, machine learning, project management.
• Data Team Roles Explained: Skills, Responsibilities, and How Teams Ship ML Products. Related topics: team building, data teams, data science, machine learning, data analysis, data engineering, MLOps, product management.
• DataTalks.Club Behind the Scenes: Alexey Grigorev on Scaling and Growing the Community. Related topics: community building, machine learning, data science, data engineering, MLOps.
• Building a Sustainable Data Community: 3 Years of DataTalks.Club Growth and Evolution. Related topics: community building, machine learning, data science, data engineering, MLOps.
• Inside Scaling DataTalks.Club: How We Built Free Data Engineering, MLOps & LLM Courses. Related topics: MLOps, LLMs, data engineering, machine learning, career transition, community building, teaching.