REDEFINING TALENT SCREENING PROCESS WITH OUR ML ALGORITHM
Rang Technologies’ machine learning optimization speeds up candidate screening by automating important tasks like screening resumes, identifying high potential candidates and find behavioral traits that fit well with client’s culture.
Using machine learning algorithms, our machine learning based filter analyses profiles from all our sources including our proactive job portals such as www.datasciencegamp.com, our proprietary database, and profiles from our specialized recruiters.
HOW OUR ML OPTIMIZATION BENEFITS THE RECRUITMENT CYCLE
INCREASES EFFICIENCY
Trained on 1.3 million job descriptions, 1.1 million candidate profiles and more than 600,000 candidate interactions, our machine learning based filter screens the best possible candidates in the shortest time.
REDUCES SHORTLISTING TIME
Figures received from our beta testing suggest that our machine learning based filter reduces candidate shortlist time by at least 62%.
PRIORITIZES CANDIDATES
It prioritizes candidates on the basis of their skill set and experience.
GETS BETTER WITH TIME
Based on the concept of artificial neural network, our filter is not only getting better with time, but also more intelligent. So expect faster and more accurate screening in the future.
IMPROVES QUALITY OF HIRE
After incorporating it into our hiring cycle, we have reduced the mid-project attrition by 99%.
REDUCES ANY HUMAN BIAS
One of the biggest advantages of our machine learning based filter is that it reduces any human bias involved. By not focussing its decisions on the basis of candidate’s gender and race, it encourages a diverse workplace.
MOST IMPORTANTLY IT SAVES PRECIOUS COST AND TIME
The greatest advantage of our machine learning based filter is the flexibility it brings in terms of cost and time. So no need to hire tons of resources or manually screen resumes for days.