Using Data Science approaches to build Automated Job-role specific Skills Assessment to close the unemployment gap and handle applications surge post COVID-19 lockdown.

Knowledge Offer根据专业人士自己的职业目标，为他们创建个性化、动态的数字内容电子学习途径，帮助他们在与技术相关的职位上找到工作。我们以职业为导向的学习方式是基于真实的市场信号。核心是技能和职称分类，它提供了一种一致的方式来帮助用户更多地了解他们需要的技能以及这些技能的价值。我们希望我们的平台能够反映与最高需求的工作角色的技能和要求相关的准确和当前的市场需求。基于这些有价值的数据，我们的技术随后会推荐一条个性化的学习路径，就像他们自己的DNA一样，对每个学习者来说都是独一无二的，还会推荐与他们所追求的职业目标相关的工作申请。知识干事的目标是创造就业和职业发展的最短和最有效的途径。我们的电子学习平台技术构建了一条个性化的学习路径，帮助用户有目的地学习，以实现他们的职业目标。在人们通过持续评估进行学习的过程中，了解他们的真实能力对于衡量学习体验的影响非常重要。我们的解决方案将衡量个人技能水平等级的熟练程度，并将其与给定工作角色的某个工作岗位所需的技能进行比较，以衡量匹配分数和某人在工作中成功的可能性。我们的评分系统将变得更智能，更多的人通过评估，申请工作，被接受/拒绝，然后衡量他们在工作中的持续时间，作为推荐质量的真正衡量标准。该项目将进行具有挑战性的研究，以扩展我们的技术，以便给出一个工作职位，我们将能够根据职位所需的技能即时生成适应性评估，并在工作候选人完成评估后生成匹配/匹配分数。项目延长三个月将允许更广泛的测试活动，通过与潜在合作伙伴的进一步合作，增加对市场的影响和速度，使我们能够获得技术、设计和业务专业知识。对早期采用者进行Beta测试将确保该产品在发布时产生最大影响。

Knowledge Officer create personalised, dynamic e-learning paths to digital content for professionals based on their own career goals, to help them land jobs in tech-related roles. Our approach to career-oriented learning is based on real market-signals. At the core is skills and job titles taxonomy which provides a consistent way of helping users learn more about the skills they need and the value of those skills. We want our platform to reflect the exact and current market needs related to skills and requirements of the job roles of the highest demand. Based on this valuable data, our technology then recommends a personalised learning path, as unique to each learner as their own DNA, and also recommends job applications relevant to the career goal that they are after. Knowledge Officer aim to create the shortest and most efficient path to employment and career progression. Our e-learning platform technology builds a personalised learning path, helping the user to learn with a purpose to achieve their career goals. Understanding the true capabilities of people as they are going through learning through ongoing assessment is really essential to measure the impact of the learning experience. Pairing that with recommendations for jobs that one can apply to based on the specific job needs and one's capability is truly innovative.Our solution will measure the proficiency at the individual skill level grade and compare that with the skills needed for a certain job post of a given job role to measure the match score and the probability of someone's success on the job. Our scoring system will get smarter with more people going through assessments, applying to jobs, getting accepted/rejected and then measuring the duration they stay on the job as a true measure of the quality of the recommendation.This project will conduct challenging research to extend our technology so that given a job post, we will be able to generate an adaptive assessment on the fly based on the skills required of the post and generate a match/fit score after a job candidate finishes the assessment.A three month project extension will allow for more extensive testing activities to increase the impact and speed to market by further collaboration with potential partners, giving access to technical, design and business expertise. Beta testing with early adopters will ensure the product will have the maximum impact at launch.