Add schema markup for podcasts with VideoObject, BreadcrumbList, AudioObject, PodcastEpisode. Created a script to add dateadded field to each podcast page front matter based on Git log. Added a script to calculate duration of the podcast and add it to the frontmatter of each podcast. Added a script to add episode clips of the podcast and add it to the frontmatter of each podcast.

Author: kavaivaleri

_layouts/podcast.html

@@ -1,24 +1,24 @@
 ---
-title: "Data Team Roles Explained: Skills, Responsibilities, and How Teams Ship ML Products"
-short: "Roles in a Data Team"
-guests: [alexeygrigorev]
-
+title: 'Data Team Roles Explained: Skills, Responsibilities, and How Teams Ship ML
+  Products'
+short: Roles in a Data Team
+guests:
+- alexeygrigorev
 image: images/podcast/s01e01-roles.jpg
-
-keywords: "data team roles, data scientist, data engineer, machine learning engineer, data analyst, MLOps engineer, product manager, data team structure, data science roles, ML engineer vs data engineer, data team responsibilities, data science career"
-
+keywords: data team roles, data scientist, data engineer, machine learning engineer,
+  data analyst, MLOps engineer, product manager, data team structure, data science
+  roles, ML engineer vs data engineer, data team responsibilities, data science career
 season: 1
 episode: 1
-
 ids:
   youtube: UukjwSIAnpw
   anchor: Roles-in-a-data-team---Alexey-Grigorev-emqcft
-
 links:
   youtube: https://www.youtube.com/watch?v=UukjwSIAnpw
   anchor: https://anchor.fm/datatalksclub/episodes/Roles-in-a-data-team---Alexey-Grigorev-emqcft
   spotify: TODO
   apple: TODO
+dateadded: '2021-02-23'
 ---
 
 The topic today is the roles in data teams. We want to understand what kind of people work in the data team, what responsibilities they have, what they do, and what they need to know.

_podcast/s01e01-roles.md

@@ -1,26 +1,28 @@
 ---
-title: "CRISP-DM Methodology for Data Science Projects: Business Understanding, Data Preparation, Modeling, Evaluation & Deployment"
-short: "Processes in a Data Science Project"
-guests: [alexeygrigorev]
-
+title: 'CRISP-DM Methodology for Data Science Projects: Business Understanding, Data
+  Preparation, Modeling, Evaluation & Deployment'
+short: Processes in a Data Science Project
+guests:
+- alexeygrigorev
 image: images/podcast/s01e02-processes.jpg
-
-description: "Learn the CRISP-DM methodology for managing data science projects. Step-by-step guide covering business understanding, data preparation, modeling, evaluation, and deployment."
-
-keywords: "CRISP-DM, data science process, machine learning methodology, data science project management, ML project lifecycle, data science workflow, A/B testing, model deployment, data science best practices, ML model evaluation, cross-functional data teams"
-
+description: Learn the CRISP-DM methodology for managing data science projects. Step-by-step
+  guide covering business understanding, data preparation, modeling, evaluation, and
+  deployment.
+keywords: CRISP-DM, data science process, machine learning methodology, data science
+  project management, ML project lifecycle, data science workflow, A/B testing, model
+  deployment, data science best practices, ML model evaluation, cross-functional data
+  teams
 season: 1
 episode: 2
-
 ids:
   youtube: SesVTDklFYQ
   anchor: Processes-in-a-Data-Science-Project---Alexey-Grigorev-encdlg
-
 links:
   youtube: https://www.youtube.com/watch?v=SesVTDklFYQ
   anchor: https://anchor.fm/datatalksclub/episodes/Processes-in-a-Data-Science-Project---Alexey-Grigorev-encdlg
   spotify: TODO
   apple: TODO
+dateadded: '2021-02-23'
 ---
 
 The topic today is the processes in a data science project. We want to understand how cross-functional teams work together to ship real value. We'll use a concrete example (auto-categorizing marketplace listings) and walk through CRISP-DM step by step.

_podcast/s01e02-processes.md

@@ -969,6 +969,129 @@ transcript:
   who: Alexey
 description: 'Master building ML teams: hiring playbooks, MLOps day-two ops, and product-driven
   AI for startups—scale with T-shaped engineers, ship robust models.'
+dateadded: '2021-02-23'
+duration: PT00H58M44S
+quotableClips:
+- name: Podcast Introduction
+  startOffset: 0
+  url: https://www.youtube.com/watch?v=ScDIB-3O77A&t=0
+  endOffset: 126
+- name: Guest Overview & Career Snapshot
+  startOffset: 126
+  url: https://www.youtube.com/watch?v=ScDIB-3O77A&t=126
+  endOffset: 192
+- name: 'Early Background: Economics, Investment Banking & Early Coding'
+  startOffset: 192
+  url: https://www.youtube.com/watch?v=ScDIB-3O77A&t=192
+  endOffset: 263
+- name: From VBA Automation to Machine Learning Interest
+  startOffset: 263
+  url: https://www.youtube.com/watch?v=ScDIB-3O77A&t=263
+  endOffset: 373
+- name: 'Accenture & Big Data: Spark, MPP Databases and Early ML Projects'
+  startOffset: 373
+  url: https://www.youtube.com/watch?v=ScDIB-3O77A&t=373
+  endOffset: 486
+- name: 'Pivotal Experience: Production ML, DevOps Practices & Engineering Rigor'
+  startOffset: 486
+  url: https://www.youtube.com/watch?v=ScDIB-3O77A&t=486
+  endOffset: 560
+- name: 'MLOps Mindset: Day‑Two Operations and Model Maintenance'
+  startOffset: 560
+  url: https://www.youtube.com/watch?v=ScDIB-3O77A&t=560
+  endOffset: 667
+- name: Creating a Head of Data Role at Idealo
+  startOffset: 667
+  url: https://www.youtube.com/watch?v=ScDIB-3O77A&t=667
+  endOffset: 804
+- name: 'Team Building & Open Source: Sustainable Machine Learning Culture'
+  startOffset: 804
+  url: https://www.youtube.com/watch?v=ScDIB-3O77A&t=804
+  endOffset: 908
+- name: 'Axel Springer: Corporate Tech Transformation, Research & Evangelism'
+  startOffset: 908
+  url: https://www.youtube.com/watch?v=ScDIB-3O77A&t=908
+  endOffset: 1158
+- name: 'Career Transition: Leaving Corporate to Found a Startup'
+  startOffset: 1158
+  url: https://www.youtube.com/watch?v=ScDIB-3O77A&t=1158
+  endOffset: 1226
+- name: 'Founding Priceloop: Technical Co‑founder and Pricing Opportunity'
+  startOffset: 1226
+  url: https://www.youtube.com/watch?v=ScDIB-3O77A&t=1226
+  endOffset: 1399
+- name: 'Pricing Product Vision: White‑Box AI Framework for Dynamic Pricing'
+  startOffset: 1399
+  url: https://www.youtube.com/watch?v=ScDIB-3O77A&t=1399
+  endOffset: 1492
+- name: 'Human‑Centric Pricing: Augmenting Pricing Managers, Not Replacing Them'
+  startOffset: 1492
+  url: https://www.youtube.com/watch?v=ScDIB-3O77A&t=1492
+  endOffset: 1525
+- name: 'Early‑Stage Hiring Plan: Building a Tactical Product Team'
+  startOffset: 1525
+  url: https://www.youtube.com/watch?v=ScDIB-3O77A&t=1525
+  endOffset: 1645
+- name: 'Open Research Strategy: Community, Open‑Source & Competitive Advantage'
+  startOffset: 1645
+  url: https://www.youtube.com/watch?v=ScDIB-3O77A&t=1645
+  endOffset: 1737
+- name: 'Aligning Hiring with Vision: Prototype, MVP & Feature Uncertainty'
+  startOffset: 1737
+  url: https://www.youtube.com/watch?v=ScDIB-3O77A&t=1737
+  endOffset: 1780
+- name: 'Cross‑Functional Roles: ML Engineers, Data Engineers, PMs & Designers'
+  startOffset: 1780
+  url: https://www.youtube.com/watch?v=ScDIB-3O77A&t=1780
+  endOffset: 1839
+- name: 'Generalists First: T‑Shaped Engineers for Early Startups'
+  startOffset: 1839
+  url: https://www.youtube.com/watch?v=ScDIB-3O77A&t=1839
+  endOffset: 2015
+- name: 'Mid‑Stage Hiring: Shifting Toward Specialists as Maturity Grows'
+  startOffset: 2015
+  url: https://www.youtube.com/watch?v=ScDIB-3O77A&t=2015
+  endOffset: 2243
+- name: 'Product‑Centric Culture: Customer Focus, Fast Iteration & Feedback Loops'
+  startOffset: 2243
+  url: https://www.youtube.com/watch?v=ScDIB-3O77A&t=2243
+  endOffset: 2371
+- name: 'Encouraging Open Source: Managerial Coaching and Leading by Example'
+  startOffset: 2371
+  url: https://www.youtube.com/watch?v=ScDIB-3O77A&t=2371
+  endOffset: 2607
+- name: 'Hiring Signals: CVs, Coding Skills, Math Background & Soft Skills'
+  startOffset: 2607
+  url: https://www.youtube.com/watch?v=ScDIB-3O77A&t=2607
+  endOffset: 2851
+- name: 'Take‑Home Assessments: Code Quality, Naming, Consistency & Detail'
+  startOffset: 2851
+  url: https://www.youtube.com/watch?v=ScDIB-3O77A&t=2851
+  endOffset: 2991
+- name: 'Project Prioritization: Impact vs Technical Feasibility & Fail‑Fast'
+  startOffset: 2991
+  url: https://www.youtube.com/watch?v=ScDIB-3O77A&t=2991
+  endOffset: 3152
+- name: 'Bootstrapping Data Teams: When to Hire Engineers Versus Analysts'
+  startOffset: 3152
+  url: https://www.youtube.com/watch?v=ScDIB-3O77A&t=3152
+  endOffset: 3215
+- name: 'Corporate IT in a Tech Transformation: From Central IT to DevOps'
+  startOffset: 3215
+  url: https://www.youtube.com/watch?v=ScDIB-3O77A&t=3215
+  endOffset: 3263
+- name: 'Retention Strategies: Competitive Pay, Interesting Work & Autonomy'
+  startOffset: 3263
+  url: https://www.youtube.com/watch?v=ScDIB-3O77A&t=3263
+  endOffset: 3400
+- name: 'Expectation Management: Educating Leadership on AI Capabilities'
+  startOffset: 3400
+  url: https://www.youtube.com/watch?v=ScDIB-3O77A&t=3400
+  endOffset: 3619
+- name: Episode Wrap‑Up & Key Takeaways
+  startOffset: 3619
+  url: https://www.youtube.com/watch?v=ScDIB-3O77A&t=3619
+  endOffset: 3524
 ---
 
 ## Books

_podcast/s01e03-building-ds-team.md

@@ -1096,4 +1096,123 @@ intro: How do you actually land a data scientist role — from a resume that pas
   and acceptable tenure patterns. <br><br> Listen to gain actionable tips for resumes,
   portfolios, interviews, and working effectively with recruiters to increase your
   chances of landing a data scientist role.
+dateadded: '2021-02-23'
+duration: PT01H08M47S
+quotableClips:
+- name: Podcast Introduction
+  startOffset: 0
+  url: https://www.youtube.com/watch?v=Sb4CJlonB3c&t=0
+  endOffset: 99
+- name: 'Guest Introduction: Luke Whipps, recruiter and podcast host'
+  startOffset: 99
+  url: https://www.youtube.com/watch?v=Sb4CJlonB3c&t=99
+  endOffset: 177
+- name: 'Recruiting background: a decade in data, analytics and AI'
+  startOffset: 177
+  url: https://www.youtube.com/watch?v=Sb4CJlonB3c&t=177
+  endOffset: 223
+- name: 'Neural AI origin: founding principles and non‑transactional recruiting'
+  startOffset: 223
+  url: https://www.youtube.com/watch?v=Sb4CJlonB3c&t=223
+  endOffset: 316
+- name: 'Community focus: podcasts, events and value‑driven talent work'
+  startOffset: 316
+  url: https://www.youtube.com/watch?v=Sb4CJlonB3c&t=316
+  endOffset: 422
+- name: 'Hiring challenges: why data scientist roles vary by company'
+  startOffset: 422
+  url: https://www.youtube.com/watch?v=Sb4CJlonB3c&t=422
+  endOffset: 455
+- name: 'Recruitment workflow: six‑stage process from definition to close'
+  startOffset: 455
+  url: https://www.youtube.com/watch?v=Sb4CJlonB3c&t=455
+  endOffset: 495
+- name: Role definition & market guidance for data science hires
+  startOffset: 495
+  url: https://www.youtube.com/watch?v=Sb4CJlonB3c&t=495
+  endOffset: 554
+- name: Shortlist, interview preparation, feedback and offer negotiation
+  startOffset: 554
+  url: https://www.youtube.com/watch?v=Sb4CJlonB3c&t=554
+  endOffset: 683
+- name: 'Candidate funnel sizes: longlists, headhunting and volume hiring'
+  startOffset: 683
+  url: https://www.youtube.com/watch?v=Sb4CJlonB3c&t=683
+  endOffset: 847
+- name: 'First impressions: CV design, formatting and professional clarity'
+  startOffset: 847
+  url: https://www.youtube.com/watch?v=Sb4CJlonB3c&t=847
+  endOffset: 975
+- name: Industry and use‑case alignment on resumes for better matches
+  startOffset: 975
+  url: https://www.youtube.com/watch?v=Sb4CJlonB3c&t=975
+  endOffset: 1190
+- name: 'Projects & portfolio: linking tech stack to concrete work'
+  startOffset: 1190
+  url: https://www.youtube.com/watch?v=Sb4CJlonB3c&t=1190
+  endOffset: 1328
+- name: 'Career narrative: tenure, common themes and progression'
+  startOffset: 1328
+  url: https://www.youtube.com/watch?v=Sb4CJlonB3c&t=1328
+  endOffset: 1504
+- name: Demonstrating business impact and real world use cases
+  startOffset: 1504
+  url: https://www.youtube.com/watch?v=Sb4CJlonB3c&t=1504
+  endOffset: 1639
+- name: 'CV structure: clarity, audience fit and information hierarchy'
+  startOffset: 1639
+  url: https://www.youtube.com/watch?v=Sb4CJlonB3c&t=1639
+  endOffset: 1810
+- name: 'Job‑hopping: red flags, ideal tenure and acceptable exceptions'
+  startOffset: 1810
+  url: https://www.youtube.com/watch?v=Sb4CJlonB3c&t=1810
+  endOffset: 1942
+- name: 'Junior candidates: pick an industry, aim small and show purpose'
+  startOffset: 1942
+  url: https://www.youtube.com/watch?v=Sb4CJlonB3c&t=1942
+  endOffset: 2274
+- name: 'Tailored applications: research job needs and map your skills'
+  startOffset: 2274
+  url: https://www.youtube.com/watch?v=Sb4CJlonB3c&t=2274
+  endOffset: 2381
+- name: 'Targeted outreach tactics: emails, LinkedIn and creative approaches'
+  startOffset: 2381
+  url: https://www.youtube.com/watch?v=Sb4CJlonB3c&t=2381
+  endOffset: 2666
+- name: 'Focus strategy: approach fewer companies and segment your market'
+  startOffset: 2666
+  url: https://www.youtube.com/watch?v=Sb4CJlonB3c&t=2666
+  endOffset: 2785
+- name: 'Academia → industry: adopt a product mindset and productionize research'
+  startOffset: 2785
+  url: https://www.youtube.com/watch?v=Sb4CJlonB3c&t=2785
+  endOffset: 3039
+- name: 'Motivation vs money: career focus, progression and tradeoffs'
+  startOffset: 3039
+  url: https://www.youtube.com/watch?v=Sb4CJlonB3c&t=3039
+  endOffset: 3142
+- name: 'Salary signals: asking salary, market alignment and recruiter views'
+  startOffset: 3142
+  url: https://www.youtube.com/watch?v=Sb4CJlonB3c&t=3142
+  endOffset: 3407
+- name: 'CV formats & length: country differences and the two‑page guideline'
+  startOffset: 3407
+  url: https://www.youtube.com/watch?v=Sb4CJlonB3c&t=3407
+  endOffset: 3531
+- name: 'Job title alignment: adapt titles to industry norms without lying'
+  startOffset: 3531
+  url: https://www.youtube.com/watch?v=Sb4CJlonB3c&t=3531
+  endOffset: 3615
+- name: 'Switching backgrounds: web development to machine learning skills'
+  startOffset: 3615
+  url: https://www.youtube.com/watch?v=Sb4CJlonB3c&t=3615
+  endOffset: 3727
+- name: 'Disclosing other interviews: transparency, trust and recruiter differences'
+  startOffset: 3727
+  url: https://www.youtube.com/watch?v=Sb4CJlonB3c&t=3727
+  endOffset: 4057
+- name: 'Episode summary: purpose‑driven candidates and standing out as a data scientist'
+  startOffset: 4057
+  url: https://www.youtube.com/watch?v=Sb4CJlonB3c&t=4057
+  endOffset: 4127
 ---