SIDHARTHA (SID) DODDIPALLI
*** * ***** ****** *** #13A, New York, NY 10025; 309-***-****; ******@********.***
EDUCATION
Columbia University New York, NY
Masters in Operations Research CGPA-3.76 Aug 2012 – Dec 2013
Coursework: Analysis of Algorithms, Stochastic Models, MongoDB for Python, Machine Learning
Data Science & Technology Entrepreneurship, Time Series Analysis, Optimization Models, Simulation
Indian Institute of Technology Madras Chennai, India
Bachelors in Civil Engineering with Minor in Operations Research Aug 2006 – Jun 2010
Coursework: Mathematical Finance, Advanced Operations Research, Computer Engineering, Data Mining
PROFESSIONAL EXPERIENCE
Fusemachines New York, NY
Engineer (Intern) Oct 2013 – Present
• Worked on Artificial Intelligence (AI) engine to generate answer type patterns
• Added features to the REST APIs of the AI virtual agent
• Maintained the infrastructure of the AI system which included Amazon beanstalk, ec2 and Openfire XMPP servers
Teaching Assistant, Columbia Business School New York, NY
Programming for Entrepreneurs Sep 2013
SocialPensieve (Early stage startup), Y Combinator'13 finalist New York, NY
Co-Founder Dec 2012 – Apr 2013
• Developed an easy to use web application which gives retail investors and venture capitalists various social metrics and
signaling mechanisms for investing in startups
• Used data driven methods to test feasibility of the idea and iterated the product based on customer validations
LatentView Analytics Chennai, India
Analyst Aug 2010 – Sep 2011
1. Recommendation Engine
• Designed an algorithm for a recommendation system that suggests product offers to users based on their past clicks
2. Search Engine Marketing Optimization
• Developed an automated system to optimize the bids to be placed for every keyword used for search engine marketing
• Predicted the revenue per click generated by each of the million keywords used in search engines
• Successfully implemented Neural Network Techniques for Cost per Click Modeling
• Increased the net revenues of the client by 30 percent
3. Click Through Rate (CTR) Optimization
• Predicted CTR for new products and merchants, thereby increased the overall clicks by 20 percent
• Identified and analyzed the various data dimensions that drive merchandise sales
TECHNICAL SKILLS
• Programming: Java, Python, C++, Bloomberg, Excel-VBA, Javascript
• Databases: Postgres, SQL, MongoDB
• Statistical Software: SAS, R, MATLAB
ACDEMIC PROJECTS
Indian Institute of Technology Madras
Dependence Structure of the NSE and MCX and Relevant Multi-Spread Strategy Sep 2011 – Dec 2011
• Applied Random Matrix theory and developed a dependence structure of India’s national stock exchange (NSE) and multi
commodity exchange (MCX) for multi spread trading strategy
Columbia University
Event Tree Analysis of PGA Tour Stroke Data Sep 2013 – Dec 2013
• Used event tree methodology and created player rankings at each node in the tree in order to determine how players faired at
each branch of the tree
ACHIEVEMENTS & INTERESTS
Winner of internet of things AT&T NYC Hack 2013
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Attended 3 Day Startup Events, NYC Tech Meetups, Hackathons
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