While visiting an event or attending virtual discussions, people look for advice on creating an awesome resume i.e. a resume that can be read by a resume parser with perfection.
Vinay Johar, CEO of RChilli, talks about a few common questions that people ask about creating perfect resumes.
Q1: What do I need to understand about how your resume is parsed?
I recommend being honest when you prepare your resume. Instead of going with fancy layouts, keeping it simple is the success mantra. To make it colorful, add your face, certification logos, and website links showcasing your successful work. RChilli AI is advanced enough to categorize images and links.
Q2: Why are recruiters and HR managers keen to use a resume parser?
RChilli helps the HR Department to achieve what it is meant for. For example, the recruitment team should be closing more jobs rather than data entry or keep calling candidates who are not highly qualified. AI technology helps you to remove all these bottlenecks in any ATS or ERP like PeopleSoft, Taleo, SuccessFactors, Workday, etc.
Candidate experience goes up by 80%, and recruiter efficiency to sort, search for highly qualified candidates goes up by 82%.
And with this AI, they just need to call the top 10 candidates and close the job.
RChilli is on a mission to change the average 45 days job closing time to a few hours. I am glad that we are part of this ecosystem.
Q3: Can a resume parser parse resumes of different file formats such as MS Word, PDF, doc, docx?
Any format is good. Technology has come to a level where file formats don’t matter. You can submit in MS Word, Google Doc, PDF, ODT, HTML, TXT, or any other format. I have seen a few clients send resumes in lotus123 or WordStar. We are open to all these challenges.
Q4: What are the common errors found in resume formatting or structure?
The most common error I see in a resume is the use of text boxes and repeated information.
Few examples are – Placing your name, contact info in a fancy way and placing them in the footer.
Textboxes are a big no for any resume. Textboxes create good-looking resumes, but they are creating a lot of confusion for AI. A lot of extra processing is required to handle such resumes, and in this process, you might lose some important part from your resume data extraction.
Q5: Can a resume parser handle bar charts, graphics, and other visual communications?
This is a great question. Charts, Graphics, and other visual communications are good for presentation, but they are not AI or resume parser friendly. AI loves data in tables, text, or any other way……