![]() ![]() Keywords can help you win to have an optimized LinkedIn profile and gobsmacking customized resume. If you want to make any modifications to how it looks, with BIRT you can modify any section as you wish (optional) and export your CV by clicking the “View Report” icon (arrow) and selecting the export type from the drop-down list.Do you know how keywords can help you win on your LinkedIn profile and your resume? If you want to be found on LinkedIn or make it through applicant tracking systems (ATS) as a job seeker, keywords are essential. Now, edit your phone number in the configuration window of the "String Input" node in the “Profile” metanode, then execute, and save the workflow. You also have to replace the image file inside the “data” folder named “personal_photo.png” with your photo with the same file name and dimensions (496*516) (otherwise you might need to edit the image item in BIRT). ![]() Replace the current folder “LinkedInDataExport” which contains the example data files. Now, move the downloaded LinkedIn data folder “LinkedInDataExport” to the folder named “data” under the workflow directory (CV_Builder) in your workspace. Moving LinkedIn data to the workflow directory Then go to the “File” tab and select “Save as…”, then choose your local workspace and press OK. You might want to edit some information in the files – if you do, be sure to keep the table structure the same.ĭownload the CV_Builder workflow from the KNIME Hub and open it in KNIME. In the “Education.csv” file, add a new column named “Field of study” right after the “Degree Name” column and add your field of study to each record. ![]() If you want to have the “Top 5 Skills” chart like the example CV in this post, you need to wait for the complete version since the basic version does not contain the endorsements.Īfter downloading the data, unzip the downloaded file and rename the folder to “LinkedInDataExport”. The complete version will be available for download in about 24 hours. Below is an example CV based on this LinkedIn profile.Ī basic version of your data will be ready within the next 10 minutes. Using BIRT in KNIME, I’ve built a workflow to read my LinkedIn profile data and export a very nice CV. You can add or remove any report items as you wish to build a report based on the data you have imported. Using this great tool, we can build completely customized reports. KNIME Analytics Platform integrates with BIRT, which is an open-source reporting tool. Here I’d like to share an alternative solution with you, which is entirely free, customizable, ad-free, and safe. If you care about your privacy, then remember that you are giving these tools permission to read and store your information.Often ads are inserted in the CV, especially the free ones.Not all of them are free, especially the nice ones.They are great tools for sure, but they have down points as well. There are a few online CV builders that ease the job for you and ask for permission to access your LinkedIn profile and read your information. Are you trying to build an attractive CV? Maybe you’ve been searching the web for online CV builders? Using these online CV builders, you have to fill out a form and enter your information like name, contact information, skills, experiences, and so on. ![]()
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