I like building data driven products. At Spotify, I work on getting people the right music at the right time.

Music Sciences @ Products: - Discover for Videos. - Playlist Recommendations. (Browse etc) - Music Personalization As a Service. - New User Personalization. (Discover Page, Playlist Recs etc) Work: - Build mock ups, convince stake holders, road manage projects, write/delete code. From January 2014 to Present (1 year 10 months) ManhattanData Hacker @ - Data driven travel stories. From May 2013 to Present (2 years 6 months) BhutanData Science Engineer @ I worked in the personalisations team at StumbleUpon with a group of amazing people trying to make recommendations on the web better. - Built a scalable pipeline that sucked in around 120 million web pages every day and extracted around 20 million quality web pages. - Redesigned mobile recommendations from ground up. Designed algorithms that worked around sparse user feedback by using content to generate better recommendations. From June 2012 to May 2013 (1 year) San FranciscoData Scientist @ Worked on solving large scale (terabyte level) analytics (supervised and unsupervised) learning problems in the internet security/infrastructure domain. From February 2012 to June 2012 (5 months) Mountain ViewMachine Learning Research Assistant @ Worked on analyzing flow of political information across the internet; built scalable systems to parse thousands of blogs during the 2008 election cycle to detect the movement of key ideas. From September 2011 to February 2012 (6 months) Austin, TexasMetrics Engineer @ We built Grouperfish; A system to mine user opinion on firefox and extract insights. I worked on key machine learning algorithm design, implementation and scaling to millions of users. https://github.com/mozilla-metrics/grouperfish https://github.com/eshwaran/matsya From June 2011 to September 2011 (4 months) Mountain ViewSecurity Research Assistant @ - Worked on game theory models for botnet analysis. - Security based rankings for businesses in the healthcare, telecom and defense industries. - Wrote and published papers. From May 2010 to May 2011 (1 year 1 month) Austin, TexasResearch Assistant @ - Designed algorithms for cooperative attack strategies by drones. - Worked on human emotion inspired robotics. - Wrote papers. From August 2008 to July 2009 (1 year) Researcher @ - Designed algorithms for path planning for armored vehicles. - Wrote research papers. From November 2007 to May 2008 (7 months)

Master of Science (M.S.), Software Engineering, Machine Learning, Statistics @ The University of Texas at Austin Esh V. is skilled in: Machine Learning, Distributed Systems, Algorithms