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Hi Fishes
I would like to know about the client interviews (especially in data science or machine learning roles).
Are these interviews tough?
Are these interviews meant to assess technical knowledge? For example, what is binomial distribution, what are different data structures in python, ml algorithms etc.
I would request each of the nagarrians to share their thoughts irrespective of the technologies you are working.
I am thankful to you for taking time and helping me out.
Nagarro
SAP Readiness Check available in pilot phase provides a comprehensive overview of specific parameters throughout various topics:
*Employee Insights
*Organizational Structure Analysis
*Important HXM data
* Custom Code Analysis
https://blogs.sap.com/2022/06/30/sap-readiness-check-for-sap-successfactors-solutions-now-in-pilot-phase/
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Databricks requires way too much prior knowledge.
You need to know database design, cloud, data science, ML, streaming & batch analytics. You need to know Python, pySpark, and Azure. You need to know data prep, data exploration, and data munging.
Then you need to understand business problems in a specific function in a specific industry, and how to translate a business problem into an actionable plan. On top of that, you need the soft skills for influence and change management.
Maybe there are meaningful Databricks implementations out there. But most of them seem like IT science projects that have no business impact.