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How to Ace Data Science Interview by Working on Portfolio Projects - KDnuggets

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Recruiters nowadays are checking your online presence before contacting you about an interview. They will look for your LinkedIn profile, GitHub, and Kaggle to figure out what value you will bring to their company. The hiring manager will also look for the latest blogs or projects you have worked on in the past to prepare interview questions so that they can test your intelligence (catherinescareercorner). Other than that, working on real-world projects will give you the required experience for the job, and with a few projects in your portfolio, you will make a good impression on the recruiter (data-flair). We will be learning new ways to crack your interviews and how creating a strong portfolio has helped me aced multiple interviews.


How AI Is Helping Recruiters Find Talent

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Recruiting has always been a fundamentally human process, whether it involves one person reviewing an applicant's resume or a candidate participating in a full day of final round interviews. However, that might be changing with the introduction of artificial intelligence (AI) human resource software, which can help with everything from scheduling interviews to conducting reference checks. With an unemployment rate of only 5.2% in August, recruiters need all the help they can get in today's hyper competitive job market. While it was a recruiter's market this time last year, now that the economy is recovering job candidates have more opportunities than ever, and that gives them the freedom to be picky. "There are 300,000 recruiter job openings listed, with millions of job postings. Who is going to help do the high volume hire processing?" says Bennett Sung, the head of marketing at Humanly.io.


Importance of Resume Parsing in Candidate Screening Stage of Hiring

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Resume parsing is a tool that analyzes a CV or a resume document and converts it into structured information for reporting, storing, analyzing, and screening. For a long time now, resumes have been screened and shortlisted manually. Recruiters would have to look through each resume separately and screen them based on skills, experience, education, etc. This process of shortlisting candidates took an immense amount of time and increased the cost of hire. This method also makes the company lose quality candidates as recruiters usually go through thousands of resumes and then shortlist until one is selected.


8 Hiring Trends To Watch Out For In 2021 - TurboHire Report

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Remote hiring is the new norm for many. Internal mobility and upskilling are being built out, many for the first time. Diversity is being treated with the urgency and accountability it always deserved.


AI in hiring might do more harm than good

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The use of artificial intelligence in the hiring process has increased in recent years with companies turning to automated assessments, digital interviews, and data analytics to parse through resumes and screen candidates. But as IT strives for better diversity, equity, and inclusion (DEI), it turns out AI can do more harm than help if companies aren't strategic and thoughtful about how they implement the technology. "The bias usually comes from the data. If you don't have a representative data set, or any number of characteristics that you decide on, then of course you're not going to be properly, finding and evaluating applicants," says Jelena Kovačević, IEEE Fellow, William R. Berkley Professor, and Dean of the NYU Tandon School of Engineering. The chief issue with AI's use in hiring is that, in an industry that has been predominantly male and white for decades, the historical data on which AI hiring systems are built will ultimately have an inherent bias.


Watch Out for These 5 Artificial Intelligence Problems in HR

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Artificial intelligence (AI) might be the way of the future in tech, gaming and smart-device industries. When applied effectively, AI can save on human employment costs and, in some cases, can accomplish tasks even better than humans can. It would make sense for other industries to try to capitalize on AI's efficiency, versatility and overall power, but for entrepreneurs, applying AI to human resources (HR) poses some challenges. HR professionals may want to put AI to use, at least partly because it can offer predictive analysis for recruiting. When a company is swamped with resumes, AI can scan resumes for those that best fit the skills and responsibilities required for that specific job.


How To Reduce Hiring Bias To Promote Diversity And Inclusion in Hiring

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Hiring bias is a colossal issue at work, particularly in areas such as hiring and promotion. The typical norms of hiring employees are profoundly defective and without a doubt tragic. The ultimate goal to indulge AI in controlled hiring bias is to expand the scope of hiring to include diversity in attributes such as gender, sexual orientation, color, experience, privilege, education, etc. Recruiters and HR organizations are reconsidering how they recruit to construct a faster and more efficient way of hiring. In an ideal world, the choice to enlist an applicant would be founded exclusively on their capacity to carry out the responsibility well. The recruit would be drawn nearer in a target, down to business way, liberated from subjectivity and unconscious hiring bias.


What is Applicant Tracking System? How is it Helping Recruiters?

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An Applicant Tracking System (ATS) smoothes out the recruitment cycle by assisting hiring managers with making job postings, distributing them to company websites and job boards, screening candidates, following their status, putting away their data, and improving the last strides of the recruiting cycle when an offer is extended. Instead of dehumanizing the hiring process using Artificial Intelligence (AI), these systems tend to be equipped with AI functionality that impersonates the human thought process. ATS features are specifically designed to scan resumes for key information in the same manner that a recruiter would but without wasting the recruiter's time on mundane elimination work. Most hiring managers receive 100s of resumes per job opening. Applying for a job has become a very easy process and almost anybody can do so.


A Guide - The Role of AI in Recruitment (+ Top 5 AI Recruiting Tools)

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Artificial intelligence is gaining more and more attention. Intelligent self-learning programs disrupt many industries, including eCommerce, manufacturing and production lines, transportation, agriculture, logistics and supply chain, and more. Moreover, such programs automate redundant processes and don't require a high level of creativity, increasing its overall effectiveness. "It is difficult to think of an industry that AI will not transform. This includes healthcare, education, transportation, retail, communications, and agriculture. There are surprisingly clear paths for AI to make a big difference in all of these industries."


Council Post: Key Ways Artificial Intelligence Can Improve Recruiting In The Hiring Process

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The use of artificial intelligence has increased productivity and efficiency in the workplace in nearly every industry. As such, a number of companies have turned to AI to improve their recruiting process--a task that once required hours of sorting through resumes, calling applicants and scheduling interviews to find the perfect candidate. Despite these advancements, not all companies are aware of the massive benefits that a more automated recruiting process can offer. Below, a panel of Forbes Coaches Council members share ways AI can improve recruiting and the overall hiring process. Forbes Coaches Council members share key ways AI can improve the recruiting process. AI can make recruiting a seamless, smooth action.