Dear Fishes,

I am passionate about data science. Any suggestion on how I can crack Data science /ml opportunity. I have around 7 years of total exp. 3.5 years in Sap bw & power bi. 3.5 years custom monitoring/analytics applications in Sap tech & hana Sql. Done small functionalities in ml like smoothing, z-score, standard deviation, as part of current project. I am in third semester of m.tech. data science bits pilani. Currect CTC around 18. Would I have to take a paycut to move to full time ml role

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Start doing free courses first from youtube.
Below channels have helped me a lot for transition-
1. Statquest - to understand ML maths and statistics
2. Krish Naik - Overall preparation of interviews of all the topic
3. Codebasics - Neat tutorial on every topic from ML, DL, computer vision and NLP

Remember that transition simply means cracking the interviews-
1. How to Get interview call - for that you need to have resume with few good ML DL projects, so first work on opensource projects from scratch.
Use Kaggle for getting free datasets. Experiment on it, do some EDA, generate models which have real world use case
2. Apply to as many openings as possible- if you apply at 10 openings you will Atleast get one call so make habit of applying daily to new job openings
3. Learn from interviews what are common questions, what are their expectations. Initial interviews will only be for preparation purposes so give as many as possible.
Once you get knack of it you will understand the interview pattern and will crack interviews.
All the best!!!

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