Data Science Skills = Diversity Thinking = Database Skills + Domain Perspectives + Data Science thinking hat + Possibilities with available data
Bridging Birds Eye + Available Features + Expectations from customers is a refinement of picking the best of ideas, quick experimentation. Practitioner's perspective to apply multiple context/patterns is ongoing learning.
Myth of Expertise
- Big data - Current Trends
- NLP - Current Trends
- Vision - Current Trends
- GAN - Current Trends
- Transformers - Current Trends
Knowing vs Doing
- Prototypes in Current Trends
- Projects with Current Trends
- Go-Live with Current Trends
Knowing vs Doing vs Delivering vs Connecting the Dots is a different Skill.
I look to solve a selected set of problems with four hats
- Database Developer/ BI perspectives
- Data Science Perspective
- ML Algos Perspectibes
- Customers Perspective what makes sense
It is a mix of all these thoughts that makes up a use case. One Skill does not make things happen. Unfortunately, these don't stand up in your profile but are even harder to measure relevant skills vs practical implications
Keep Thinking!!!
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