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Engineer Sales

Location:
New York, NY
Posted:
February 06, 2014

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Resume:

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



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