Startup Talk: Data Science For FinTech Career Matchmaking, Guest Speaker untapt

Join us as Andrew Vlahutin, Data Engineer at FinTech job-matching platform untapt joins us as a guest speaker. In addition to an overview of unTapt, the job market and his background, Andrew will discuss the importance of data science in hiring and careers, even comparing job matchmaking to romantic matchmaking. Data science topics Andrew will touch upon include algorithms, deep learning and neural networks. He will also provide career tips and answer Q&A from the audience.

About untapt: Job-seekers predominantly sift through employment possibilities by manually navigating job boards or consulting with human recruitment specialists that have limited bandwidth and finite opportunities. This is akin to using the classifieds section of the newspaper or word of mouth to find a romantic partner today. Your contemporaries, meanwhile, are finding their soulmate by leveraging explicit (e.g., OkCupid, Match.com) or implicit (Tinder, The League) preference algorithmic matching to identify their soulmate from an unbounded pool of possibilities.

unTapt has developed a correspondingly modern matchmaking experience for jobs in the technology sector. We have built an ensemble model of Bayesian regression and deep-learning neural network approaches and applied it to a data set consisting of a million software developer profiles and tens of thousands of hiring decisions to learn explicit and implicit preferences. The probabilities of job-application success output by the model enable our platform to programmatically suggest the best-suiting roles to candidates, provide instantaneous feedback to prospective job-seekers, and filter applications presented to hiring firms. In aggregate, these features culminate in interview rates that greatly surpass industry benchmarks.