It should be persuasive and should cover information like who you are, what are your skills and strengths. Profile summary is key to a resume, consider it as an elevator pitch. But I would suggest you stick to the pdf version as this ensures the formatting is preserved, that is the recruiter sees the resume the same way you see it. Most job applications accept resumes in both pdf and word format. ![]() Google’s X-Y-Z formula to make impactful statementsīasic rules in resume preparation Resume formatting. ![]() Customizing your resume and cover letter.In this article, I am going to guide you on building a high-impact resume that can help you in getting shortlisted for the job application. The same logic would apply to any data science job position hence resume plays a critical role in getting shortlisted. Getting a data science job is becoming very competitive, though the number of opportunities is historically high the number of people applying for these jobs is extremely high as well.įor example, below is a screenshot of a job posting from LinkedIn, this job posting has a total of 1200+ views and if we consider approximately one-tenth apply for the job then it is a total of 120+ applications and this is just one way to apply for the job there would be people applying for this job from other sources, through references and directly as well and hence the total number of applications would be approximately 200+. First, Why is it important to focus on the resume? ![]() This article will explore some simple strategies to significantly improve the presentation as well as the content of data science resumes. It is undeniable that resumes play a key role in our job application process. Every one of us needs a resume to showcase our skills and experience but how much effort are we putting into it to make it impactful.
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