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Data science engineer with ~14 years of experience in academic and industry research, software development and machine learning for large-scale data. Track record of leadership experiences in applying science to building products and scaling tech teams. Ex Bain, LinkedIn, Startups.
Dartmouth College
Master’s Degree, Computer Science
January 1, 2007 – January 1, 2009
The Institute of Mathematical Sciences, Chennai
Visiting Student, Theoretical computer science | Prof. Venkatesh Raman
January 1, 2006 – January 1, 2007
Sri Venkateswara College of Engineering
B Tech, IT
January 1, 2002 – January 1, 2006
Setu
Director of Engineering
October 1, 2025 – Present
Inventure Academy
Consultant - Center of Excellence
June 1, 2024 – Present
Career Break
Professional development
January 1, 2023 – October 1, 2025
Bureau, Inc.
Advisor
December 1, 2021 – Present
On Deck
Deep Tech Fellow
October 1, 2021 – October 1, 2022
Bain & Company
Director - Data Science, Advanced Analytics Group
July 1, 2019 – May 1, 2022
Greater Bengaluru Area
Applied Research Manager, AI
January 1, 2018 – July 1, 2019
Bengaluru, Karnataka, India
Vue.ai
Head of Data / Chief Data Scientist
March 1, 2016 – January 1, 2018
Chennai Area, India
Vue.ai
Data Scientist
November 1, 2015 – March 1, 2016
Chennai Area, India
Indix
Data Scientist
May 1, 2014 – October 1, 2015
Chennai Area, India
Groupon
Software Engineer Team Lead
January 1, 2013 – April 1, 2014
Chennai
Microsoft
Software Engineer
February 1, 2010 – July 1, 2012
Redmond, WA
Microsoft
Research Intern, Networking Research Group, MSR
July 1, 2009 – March 1, 2010
Redmond, WA
Dartmouth College
Graduate Researcher, Computer Science Dept.
September 1, 2007 – July 1, 2009
Dartmouth College
Graduate Teaching Assistant
July 1, 2007 – September 1, 2007
Cultural Fit Analysis
The candidate's diverse experience across startups (Setu, Vue.ai, Indix), large tech companies (Microsoft, LinkedIn, Groupon), and consulting firms (Bain & Company) suggests adaptability to various organizational cultures. Their roles involving leadership, team building, and strategic initiatives indicate a collaborative and impact-driven mindset. The involvement in education transformation and advisory roles also points to a desire for broader impact and mentorship, which can be a strong cultural asset.
Soft Skills & Operational Fit
The candidate's career progression from Software Engineer to Director of Engineering, with significant roles in data science and AI leadership, indicates strong leadership, strategic thinking, and operational management skills. Their involvement in consulting and advisory roles suggests adaptability and a broad understanding of technology and business intersections. The career break for 'Professional development' and 'Consulting at the intersections of Data Leadership, AI strategy, and Education innovation' further highlights a proactive approach to skill development and strategic engagement.