About
Activity
40K followers
Experience & Education
Volunteer Experience
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President
International Student Association, Purdue University
- 2 years
Education
Patents
Projects
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Carnegie Mellon University - Predictive Insight for buildings with Microsoft Azure Machine Learning and the OSIsoft PI System
Predictive Insight for buildings project was a joint collaboration between Carnegie Mellon University's Center for Building Performance and Diagnostics, OSIsoft and Microsoft.
Microsoft Case Study (PDF) - https://customers.microsoft.com/Pages/Download.aspx?id=8587
My responsibilities included:
- Leading the cross-company virtual team from concept to completion of the case study and presentation at the OSIsoft EMEA User Conference in Lisbon.
- Providing OSIsoft…Predictive Insight for buildings project was a joint collaboration between Carnegie Mellon University's Center for Building Performance and Diagnostics, OSIsoft and Microsoft.
Microsoft Case Study (PDF) - https://customers.microsoft.com/Pages/Download.aspx?id=8587
My responsibilities included:
- Leading the cross-company virtual team from concept to completion of the case study and presentation at the OSIsoft EMEA User Conference in Lisbon.
- Providing OSIsoft technical resources for the Azure Machine Learning and OSIsoft PI System implementation at Carnegie Mellon
- Primary PR and Case Study Lead from OSIsoft for Azure Machine Learning launch at Microsoft Worldwide Partner Conference 2014 in Washington D.C.
- Participate in Interviews, Video and communication with the press.
CNET - http://www.cnet.com/news/microsoft-azure-predictive-machine-learning-beta-proactive-troubleshooter/
Redmond Channel Partner - http://rcpmag.com/articles/2014/09/01/machine-learning.aspx
Microsoft Azure ML Launch Video - http://www.youtube.com/watch?v=6IEx9G8RwP4Other creatorsSee project -
Online Ads bidding price prediction
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My engagement with the project involved following:
- Provide technical guidance for building the machine learning prediction model (dealing with both modeling issues and Azure ML specifics)
- Understanding and communicating user needs, and coming up with plan of action for the two partners (NA and the client).
The project outcome was a model that is estimated to give MM $ gains and is being evaluated by the NA's client (a big online Travel company). The product was show cased…My engagement with the project involved following:
- Provide technical guidance for building the machine learning prediction model (dealing with both modeling issues and Azure ML specifics)
- Understanding and communicating user needs, and coming up with plan of action for the two partners (NA and the client).
The project outcome was a model that is estimated to give MM $ gains and is being evaluated by the NA's client (a big online Travel company). The product was show cased at the WPC Azure ML demo http://www.digitalwpc.com .Other creators -
Product Demand Forecasting
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- understanding the customer needs and defining the action plan
- building demand forecasting model for the G4 Analytics using R inside Azure ML
- implementing the business rules into the forecasting model as well as the smoothed historical series information
- client model integration scenario
The model would allow G4 to forecast on large number of series information at the lowest granularity level using Azure ML R integration capabilities.Other creators
Languages
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Hindi
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Arabic
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