{"id":89,"date":"2019-05-03T09:46:00","date_gmt":"2019-05-03T17:46:00","guid":{"rendered":"https:\/\/www.careervillage.org\/articles\/?p=89"},"modified":"2023-12-26T14:00:44","modified_gmt":"2023-12-26T22:00:44","slug":"careervillage-org-announces-winners-of-its-15000-data-science-for-good-kaggle-competition","status":"publish","type":"post","link":"https:\/\/www.careervillage.org\/articles\/cv-updates\/careervillage-org-announces-winners-of-its-15000-data-science-for-good-kaggle-competition\/","title":{"rendered":"CareerVillage.org announces winners of its $15,000 Data Science for Good Kaggle Competition"},"content":{"rendered":"\n

CareerVillage.org invited the Kaggle community to use their data science expertise to improve the algorithm that matches career questions from youth to working professionals.<\/em><\/p>\n\n\n\n

Palo Alto, CA \u2014 <\/strong>This week CareerVillage.org announced the winners of its $15,000 Data Science for Good competition on the data science crowdsourcing platform Kaggle. The two-month-long competition <\/a>was designed to to help the nonprofit CareerVillage.org use AI to match students to the perfect career advisors efficiently.<\/p>\n\n\n\n

\"\"\/
First place winner\u2019s Data Overview<\/strong>
Above you can find the diagram with data and relations. Essential primary entities are \u201cProfessional\u201d, \u201cStudent\u201d, \u201cQuestion\u201d and \u201cAnswer\u201d. The most useful secondary entity is \u201cTag.\u201d<\/figcaption><\/figure>\n\n\n\n

Primary and secondary entities are used to create so-called \u201ccontent\u201d features. Other data is divided into two main parts \u201cactivity\u201d and \u201ctime\u201d features.<\/p>\n\n\n\n

\u201cThe results were amazing. These are some of the best data scientists in the world, and they submitted ideas using cutting-edge machine learning technologies to solve one of our biggest challenges: connecting the right students to the right volunteers at the right time. The five winning submissions are great examples of recommendation engines, but there\u2019s a ton of depth in the submission field.\u201d said Jared Chung, Executive Director of CareerVillage.org<\/p>\n\n\n\n

The Data Science for Good Competition contained hundreds of kernel submissions, and over 1,300 individual kernel commits, and over 1,000 data analysis charts. Participating data scientists used a variety of statistical methods and machine learning tools to surface insights about recent trends, highlight areas where the CareerVillage.org matching algorithm could be improved, and generate open code that performs better. \u201cThe quality, depth, and documentation of these models and analyses are impressive,\u201d said Jonathan Wang, a member of the CareerVillage.org Data Science Steering Committee, and one of the judges on the selection committee.<\/p>\n\n\n\n

The top five winners hail from Ukraine, Morocco, Belgium, Germany, and the UK, and were selected by a panel of judges. Each winner gets a prize of up to $5,000 from a total prize pool of $15,000: Ivan Didur\u2019s nn-based-recommender-engine<\/a> in first place, Rod Hyde\u2019s triage-recommender-with-cold-start<\/a> in second place, Hamza El Bouatmani\u2019s epsilon-greedy-latent-recommender<\/a> in third place, Daniel Becker\u2019s recommendation-engine<\/a> in fourth place, and Sobrino Mario\u2019s tag-based-recommender-system<\/a> in fifth place.<\/p>\n\n\n\n

CareerVillage.org plans to extend the submitted ideas for use in its platform to better support its community of learners and professionals providing career advice. Chung noted: \u201cThis is just the beginning. This shows us that data science is an incredibly powerful tool for platforms with large-scale data like CareerVillage.org. We are going to be expanding our data science work over the coming months and hopefully use that to better deliver life-changing career advice to underserved youth everywhere.\u201d<\/p>\n\n\n\n

About CareerVIllage.org<\/strong><\/p>\n\n\n\n

CareerVillage.org\u2019s mission is to democratize access to career information and advice for underserved youth. We do this by crowdsourcing personalized career advice to students. Our open-access platform matches student questions to our volunteer corps of over 28,000 professionals, enabling our community of thousands of young people to access new information and plan their career paths.<\/p>\n\n\n\n

About Kaggle<\/strong><\/p>\n\n\n\n

Kaggle provides cutting-edge data science, faster and better than most people ever thought possible. They have a proven track record of solving real-world problems across a diverse array of industries including pharmaceuticals, financial services, energy, information technology, and retail. Kaggle offers public and private data science competitions and on-demand consulting by an elite global talent pool.<\/p>\n\n\n\n

###<\/p>\n\n\n\n

Press Release
For Immediate Release<\/p>\n\n\n\n

May 3, 2019<\/p>\n\n\n\n

Contact: Jordan T. Rivera (jordan@careervillage.org)<\/p>\n","protected":false},"excerpt":{"rendered":"

CareerVillage.org invited the Kaggle community to use their data science expertise to improve the algorithm that matches career questions from youth to working professionals. Palo Alto, CA \u2014 This week CareerVillage.org announced the winners of its $15,000 Data Science for Good competition on the data science crowdsourcing platform Kaggle. The two-month-long competition was designed to […]<\/p>\n","protected":false},"author":5,"featured_media":90,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[12,15],"tags":[],"class_list":["post-89","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-cv-updates","category-research-roundup"],"_links":{"self":[{"href":"https:\/\/www.careervillage.org\/articles\/wp-json\/wp\/v2\/posts\/89","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.careervillage.org\/articles\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.careervillage.org\/articles\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.careervillage.org\/articles\/wp-json\/wp\/v2\/users\/5"}],"replies":[{"embeddable":true,"href":"https:\/\/www.careervillage.org\/articles\/wp-json\/wp\/v2\/comments?post=89"}],"version-history":[{"count":2,"href":"https:\/\/www.careervillage.org\/articles\/wp-json\/wp\/v2\/posts\/89\/revisions"}],"predecessor-version":[{"id":304,"href":"https:\/\/www.careervillage.org\/articles\/wp-json\/wp\/v2\/posts\/89\/revisions\/304"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.careervillage.org\/articles\/wp-json\/wp\/v2\/media\/90"}],"wp:attachment":[{"href":"https:\/\/www.careervillage.org\/articles\/wp-json\/wp\/v2\/media?parent=89"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.careervillage.org\/articles\/wp-json\/wp\/v2\/categories?post=89"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.careervillage.org\/articles\/wp-json\/wp\/v2\/tags?post=89"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}