Data Science at Monsanto: Turning Data into Food and Forecasting Sales to Drive Decisions
Dr. Manisha Bhardwaj
When: Friday, 12/02/16, 2:00 pm — 3:00 pm
Where: SEC 201
Data driven solutions are transforming every industry and impacting business decisions. This has led to an evolution from decisions backed by intuition and experience to being driven by data and
patterns. The Global IT Analytics team at Monsanto is utilizing predictive, geospatial, and optimization modeling to guide decisions for production of higher quality seeds and traits. This talk will provide an overview of mathematical and statistical solutions for a variety of industry scale research problems at Monsanto. We will focus on a business case for sales forecasting and show the use of predictive modeling techniques from basic regression to ensemble methods. The resulting models have been deployed in production as an end-to-end digital application with automated data ingestion and execution in an elastic computing environment for an enterprise use. We will also discuss internships and full-time opportunities at Monsanto.
Manisha Bhardwaj is a Data Science Technical Lead in Global IT Analytics team at Monsanto. In her 3 years at Monsanto, she has worked on development and deployment of several mathematical and statistical models for R&D and Global Supply Chain organizations. She is working with scientists to develop digital products leveraging cutting-edge research and technology platforms to revolutionize global agriculture. Manisha received her Ph.D. and M.S. in Mathematics from University of Houston and B.S. from St. Stephens College in Delhi, India. Her research interests include Bayesian modeling, machine learning, geospatial and big data analytics.
Food and drinks will be served at 1:45 pm!
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Advances in Data-Driven Analytics Applications: From Methodology to Technology
Joint Workshop organized by SPE Petroleum Data-Driven Analytics (PD2A), Society for Industrial and Applied Mathematics (SIAM), and University of Houston (UH)
When: Friday, 12/09/16, 1:00 pm—6:00 pm
University of Houston, Houston, TX, USA
Cost: This workshop is free for all attendees
: All must register here
Detlef Hohl, Shell International Exploration and Petroleum
Pierre-Yves Aquilanti, Total E&P Research & Technology
Cole Harris, Chevron Modeling and Analytics Center of Excellence
Robert Azencott, Mathematics, University of Houston
Richard Baraniuk, Electrical and Computer Engineering, Rice University
As the ability to collect “data” continues to grow and the types of data continue to expand,
scientists and professionals from many disciplines must find a way to manage,
analyze and understand their large, complex, high dimensional datasets.
To help communicate and share recent advances
in academia and industry, The Society of Petroleum Engineers' PD2A Technical Section and the
Texas-Louisiana Section of the Society for Industrial and Applied Mathematics invite you to an
afternoon mini-workshop in Data Analytics. The event brings together researchers and practitioners
from mathematics, computational science, data science, data mining, knowledge discovery, large-scale data
analytics, and big data. The format will feature a number of speakers and allow time for networking and discussion.
Click here for the official workshop's website, which has links to the speakers' abstracts.
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