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Siddhartha Sinha1600 Walnut St, Philadelphia, PA 19103

Siddhartha Sinha Phones & Addresses

1600 Walnut St, Philadelphia, PA 19103    215-7357757   

Chicago, IL   

Evanston, IL   

284 Mott St, New York, NY 10012    646-6660338   

Holland, PA   

225 E 95Th St APT 32A, New York, NY 10128   

Work

Position: Machine Operators, Assemblers, and Inspectors Occupations

Education

Degree: Associate degree or higher

Mentions for Siddhartha Sinha

Siddhartha Sinha resumes & CV records

Resumes

Siddhartha Sinha Photo 31

Director, Finance And Strategy

Location:
812 Asbury Way, Boynton Beach, FL 33426
Industry:
Retail
Work:
Office Depot
Director, Finance and Strategy
Sears Holdings Corporation Jun 2015 - Feb 2017
Director, Finance and Strategy - Information Technology Group
Sears Holdings Corporation Jul 2014 - Jun 2015
Manager, Finance and Strategy - Kenmore, Craftsman, Diehard
Sears Holdings Corporation Nov 2011 - Jul 2014
Manager, Corporate Fp and A
Merkle Jul 2010 - Nov 2011
Director of Finance
Merkle Jun 2009 - Aug 2009
Consulting Intern
Walter P Moore May 2005 - Aug 2008
Transportation Operations Consultant
Center For Transportation Research the University of Texas at Austin Aug 2003 - Jun 2005
Graduate Research Assistant
Education:
University of Virginia May 2010
Master of Business Administration, Masters
Graduate School of Business & Administration May 2010
Master of Business Administration, Masters
University of Virginia Darden School of Business 2008 - 2010
Master of Business Administration, Masters, Consulting, Management, Finance
The University of Texas at Austin 2009
The University of Texas at Austin 2003 - 2005
Master of Science, Masters, Civil Engineering
Indian Institute of Technology May 2003
Bachelors, Bachelor of Science, Civil Engineering
Doms, Iit Roorkee 1999 - 2003
Skills:
Strategy, Forecasting, Financial Modeling, Competitive Analysis, Business Strategy, Analytics, Management, Analysis, Strategic Planning, Cross Functional Team Leadership, Process Improvement, Finance, Valuation, Strategic Financial Planning, Financial Planning, Business Analysis, Business Development, Contract Negotiation, Pricing Strategy, Due Diligence, P&L Management, Retail, Marketing Strategy, Customer Analysis, Marketing Mix Modeling, Financial Strategy, Data Analysis, Contract Negotiations, Financial Reporting, Operational Risk Management, Financial Forecasting
Interests:
Environment
Languages:
English
Hindi
Bengali
Siddhartha Sinha Photo 32

Siddhartha Sinha

Location:
United States
Siddhartha Sinha Photo 33

Siddhartha Sinha

Location:
United States

Publications & IP owners

Us Patents

System And Method For Contextual Messaging In A Location-Based Network

US Patent:
2014006, Mar 6, 2014
Filed:
Aug 23, 2013
Appl. No.:
13/974708
Inventors:
Blake Shaw - New York NY, US
Andrew Hogue - Ho Ho Kus NJ, US
Daniel Salinas - San Francisco CA, US
Rongjing Xiang - Union City CA, US
Tianhui Li - Brooklyn NY, US
Anoop Ranganath - New York NY, US
Siddhartha Sinha - Brooklyn NY, US
Jon Shea - Brooklyn NY, US
Jackson Davis - San Francisco CA, US
Noah Weiss - New York NY, US
Jason Liszka - New York NY, US
Timothy Julien - New York NY, US
Mark Wyszomierski - Manhasset NY, US
Dennis Crowley - New York NY, US
Patrick Hayes - New York NY, US
Geoffroy Bablon - New York NY, US
Siobhan Quinn - San Francisco CA, US
International Classification:
H04L 29/08
US Classification:
709201
Abstract:
Systems and methods are provided that presents interesting local content to users at times when the content is most actionable and engaging without the user explicitly entering a search term or expressing intent. In one implementation, the system uses contextual signals about a user to rank local content. Signals may include, for example, who they (one or more users) are, what kinds of places they like, where they are, how familiar they are with the area, the time of day, where the user's friends have been nearby, among other information related to the one or more users. A system may be provided that uses contextual rules and machine learning to target content to users. The system learns which of these contextual signals are most important and alters its ranking function to optimize user engagement in terms of conversions.

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