- #1
EngWiPy
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Hello all,
I revised a resume for data science positions. I empathized on skills that are needed for the positions like statistics/mathematics and programming. I mention that I am familiar with the theory of many machine learning algorithms and Python libraries used for data analysis. I still don't have personal projects to include in my resume since I don't have practical experience, but I am working on something (I don't mention this in my resume, of course). I have a couple of questions:
1. What else can I include in my resume that is related to data science? Do I need to empathize on more things? How to emphasize on the things I mentioned above in a way that is capturing? I use very plain language, and maybe it is boring.
2. I don't get positive answers for all my applications for interviews. Is this normal? I apply using LinkedIn if the option is Easy Apply, or through the company's website if it is not (but all jobs searches are done on LinkedIn). I feel that startups and small companies use the Easy Apply, so, mostly I apply using it. I am targeting startups and small companies because I am not experienced and professional in the field. The larger companies are more strict, and I have less chance there.
Probably some will say connections is a problem, and I think it is for me. I've reached out to some people on LinkedIn as some suggested, and they replied the first time, but then they stopped replying, which is understandable if you are overwhelmed with messages from many (random) people a day. Some asked me to send them my resume to look at it and see if I need to change something, but never heard from them again! Some suggested meet-up groups is a good place to make connections, which I think is better than messaging people on the Internet, and I will join one or more groups.
3. I am thinking to share something I have been working on so far. It is just exploratory data analysis of a dataset I compiled. Is it a good idea to share (to possibly reference) it? and in any case, shall I use GitHub or Kaggle to share my personal projects and works? I watched some videos on YouTube, and some even mentioned writing blogs where you reference GitHub about your work is a good idea, since people are interested at first on what you have done, and then how you did it, although I am using Jupyter notebooks that include everything: the explanations, codes, and visualizations.
Sorry, it was a bit long.
Thanks in advance
I revised a resume for data science positions. I empathized on skills that are needed for the positions like statistics/mathematics and programming. I mention that I am familiar with the theory of many machine learning algorithms and Python libraries used for data analysis. I still don't have personal projects to include in my resume since I don't have practical experience, but I am working on something (I don't mention this in my resume, of course). I have a couple of questions:
1. What else can I include in my resume that is related to data science? Do I need to empathize on more things? How to emphasize on the things I mentioned above in a way that is capturing? I use very plain language, and maybe it is boring.
2. I don't get positive answers for all my applications for interviews. Is this normal? I apply using LinkedIn if the option is Easy Apply, or through the company's website if it is not (but all jobs searches are done on LinkedIn). I feel that startups and small companies use the Easy Apply, so, mostly I apply using it. I am targeting startups and small companies because I am not experienced and professional in the field. The larger companies are more strict, and I have less chance there.
Probably some will say connections is a problem, and I think it is for me. I've reached out to some people on LinkedIn as some suggested, and they replied the first time, but then they stopped replying, which is understandable if you are overwhelmed with messages from many (random) people a day. Some asked me to send them my resume to look at it and see if I need to change something, but never heard from them again! Some suggested meet-up groups is a good place to make connections, which I think is better than messaging people on the Internet, and I will join one or more groups.
3. I am thinking to share something I have been working on so far. It is just exploratory data analysis of a dataset I compiled. Is it a good idea to share (to possibly reference) it? and in any case, shall I use GitHub or Kaggle to share my personal projects and works? I watched some videos on YouTube, and some even mentioned writing blogs where you reference GitHub about your work is a good idea, since people are interested at first on what you have done, and then how you did it, although I am using Jupyter notebooks that include everything: the explanations, codes, and visualizations.
Sorry, it was a bit long.
Thanks in advance
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