Astrophysics to data Science: how the Milky Way is like my company.
summary
Claim: an astrophysics skillset transfers to building practical data products fast inside an SME. Evidence: a brand‑new two-person data team ships recommender models, a spatial analysis and ad hoc scoring for rare items while running two-week sprints and backlog triage. Tools and habits named: SQL, Redshift, matplotlib and teaching stakeholders SQL. Scale and constraints: company with 5000 partners, SME timelines and compliance make deadlines real. Outcome: prototypes reach boards weekly and stakeholder uptake requires constant translation and enforced data sharing.
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chapters (11)
- 0:00Introduction
- 1:46Focus on SMEs in data science
- 3:55Academia versus industry
- 8:15Stakeholder communication
- 12:11Data ownership in SMEs
- 16:05Project management
- 20:39Company culture and agile
- 24:11Fast-paced challenges
- 27:37Balancing expectations
- 31:57Adapting to systems
- 34:05Final thoughts and Q&A
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