SIDHARTHA (SID) DODDIPALLI
*** * ***** ****** *** #13A, New York, NY 10025; 309-***-****; accjir@r.postjobfree.com
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
CHARTED FINANCIAL ANALYST (CFA) LEVEL III CANDIDATE
PROFESSIONAL EXPERIENCE
Fusemachines New York, NY
Engineer (Intern) Oct 2013 – Present
• Worked on Artificial Intelligence engine to generate answer type patterns
• Conducted user experience tests and generated feedback, which was used to improve the customer satisfaction while chatting
with the virtual agent
• Attended client meetings and assisted them to adopt to the hybrid chat system
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 (RTB)
• 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
• 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 2012
• 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
ACHIEVEMENTS & INTERESTS
• Winner of internet of things AT&T NYC Hack 2013
• Attended 3 Day Startup Events, NYC Tech Meetups, Hackathons