I'm very passionate about building products and product experiences around data. I leverage machine learning and information retrieval techniques to build data products which empower LinkedIn's members and help them make informed decisions. Data democratization = real-world impact!

Sr. Data Scientist @ In my time at LinkedIn, I've been hard at work building up the higher education data ecosystem which ranges from building real-time and offline standardization of all education facets on profile to developing awesome data products like University Rankings and Similar Schools. Check our blog on the methodology for LinkedIn University Rankings. http://blog.linkedin.com/2014/10/01/ranking-universities-based-on-career-outcomes/ In my 2+ years at the Products Data Science team, I've worn several hats working on Product Innovation. I enjoy ideating and prototyping new products (backend + front-end) using the power of data mining and machine learning with Hadoop on real-world data. From July 2012 to Present (2 years 6 months) Mountain View, CAResearch Assistant @ Was part of the Societal Networks team under Prof. Balaji Prabhakar on projects involving social incentivizing schemes - Insinc and Capri. • Worked on the back-end and front-end of the websites associated with the initiatives - https://insinc.sg and https://stanfordcapri.org. • Part of the 2-man team which conceptualized and implemented the point-redemption pieces (included a social board-game) which are a core part of the user experience. From October 2011 to June 2012 (9 months) StanfordSoftware Development Intern @ Worked on duplicate page detection for Graphic-rich pages. • Experimented with various approaches for image-matching and image-pair classification. • Using Surf descriptors, achieved high recall values for near-perfect precision. From July 2011 to September 2011 (3 months) Mountain View, CADevelopment Intern @ Worked on a mobile networking and social-sharing app, "MANGO". From May 2009 to July 2009 (3 months) Summer Intern @ Worked on a graphical plugin for direct simulations in MLDesigner - a hierarchical simulation modeling tool. From May 2008 to July 2008 (3 months)

Master of Science (M.S.), Computer Science, , 4.06 / 4.0 @ Stanford University From 2010 to 2012 Bachelor in Technology (BS), Computer Sc. and Engineering @ Indian Institute of Technology, Delhi From 2006 to 2010 Navneet Kapur is skilled in: Hadoop, Machine Learning, Apache Pig, Python, C++, Data Mining, Pig, Flappy Bird, Algorithms, Matlab, Recommender Systems, Data Science, CSS, Software Development, Information Retrieval, Git, Computer Science, JavaScript, Unix Shell Scripting, MySQL, Rapid Prototyping, Django, Photoshop, Ruby, Big Data, jQuery, Objective-C, HTML5, PHP, Jython, Perforce, Downhill Skiing