Hi, I am Quality Manager with 12+ years of experience primarily in Six Sigma in traditional manufacturing field. I have a bachelors in Mech Engg. and Masters in Industrial Engg(2010) where I did courses like Advanced Engineering Stats, Linear Optimization, Operations Research, etc. From my experience so far, there is not much upside in the traditional manufacturing and quality field and trying to figure out whether moving to machine learning, IoT or Data Science field. The only idea I have about coding is the C programming course and lab I took in undergrad. I would really appreciate if anyone can share any advice/insight/thoughts into how to go about changing career from traditional manufacturing into Data Science. #dataanalytics #datascience
You can use your Process Mining experience and target Data Science roles in your sector. I've seen Industrial Engineering openings that are heavily based on Data and ML. You can aim for those. Idk if you are on H1B or not, but it will be quite challenging to not get a RFE if you try to get a Data Scientist role at a Product based Internet company after being a QM for 12 years.
Yup, I am on H1B, so I need to keep that in mind as well. Sounds like some formal education would help in both ways.
I'd not jump into an expensive, demanding and challenging masters program right away. I'd try learning python and ml on udemy, coursera, udacity or edx, and do a real project - maybe optimize something at work using data. And then see if you really want to be a Data Scientist because it is a lot of effort and investment and you may have to start fresh if you don't find a role where you can use your 12 years of experience.
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Learning Python will help, a lot of companies work on optimization/ Or problems but mostly use Python. I have myself worked on lp problems using python. I also recently saw some opportunities at Target with optimization as a primary requirement.
Thanks for the tips. When you say learning, would something like coursera count?
Yes, why not. Also, parallely look for projects or data within your company where you could prototype your learning. It's easier said than done but you could definitely try this.