Stop Wasting Hours On Cover Letters. Use Python To Generate In 3 Steps.

Gain an edge in the most competitive data science job market in 5 years to save 10+ hours a week on cover letter writing.

Just dipping your toe into the world of cloud and data engineering? Begin your professional journey with a portfolio. Get my free 5-page project ideation guide.

I used to write cover letters like it was my job because, incidentally, it was. As a former resume consultant in undergrad, I’ve spent 500+ hours picking through resumes, preemptively rejecting more would-be candidates than the corporate world’s pickiest ATS. Occasionally, in addition to a resume, a student would bring that dreaded 3 paragraph assignment: a cover letter.

Cover letters, despite being simultaneously daunting and mundane to write, also represent a paradox in recruiting. While many “apply here” forms list a cover letter as optional, a surprising number of hiring managers actually read these submissions, at a rate as high as 87%.

Unfortunately, as a candidate, to be competitive you still need to submit your best work. But this doesn’t mean you have to start from scratch each time. Instead, templat-ize your work.

But even templates take work. You have to meticulously review each parenthetical or bracketed field to make sure you substituted all your words. So this isn’t the best or most efficient way to automate the task.