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UK politics getting more interesting by the day.

Thoughts on account executive roles at Google?
When is EY getting their lake house?
Additional Posts in Data Science and Machine Learning
Anyone expert in SQL?
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Fun answer! I'm sure you will get serious ones a lot.
Read as I feel (corporate/email language)
1. Data bhej (pls send data)
2. Data bhej de yaar (gentle reminder)
3. Meeting
4. Ek aur meeting
5. Ye kaunsi meeting hai?.kyun hu main yaha?
6. Ye kya ganda Data bheja Hai be? ( Can you pls let me know what these fields mean, or are there any missing important fields ?)
7. Data wrangling (To IT: can we pls update to 16GB/32GB ram on my local pls? IT: Shut down and restart it and will solve itself (wtf??))
8. Outliers, Missing Value etc etc
9. Model building (whom am I kidding..RF or XG Boost building)
10. Results
11. Interpretation
12. Present to business
13. Business: That's counterintuitive, oh yeah, and we forgot to tell you there is a change in requirements, but this doesn't seem right. Why don't you talk to this other team and get that data.
Me : Sure. You could have told me that day 1, but who cares? ..last day of delivery and redoing everything is just perfect.
14. Data behj de yaar (infinity loop starts)
"Ganda data" is the real pain in the a$$.
Coding is important... Personally I am more of a ML Engineer whose primary job is to code for the product development. The other aspect of my work is RnD which requires Data Science algorithmic knowledge. To transpire your DS knowledge into a product knowledge of ML lifecycle and ecosystem is crucial and it's okay if you are aware of only traditional and classical ML stuffs. Modeling is a tiny part of the entire work. Very tiny 🙂
How can I transition from data analytics to ML engineer ?
Do I need to become data engineer first ?
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