Research
- Sadeghi, S., Carey, J. (2017). Phase-based Business Cyclic Patterns
in Dynamic Linear Models, submitted to Microsoft Journal of Applied Research (MSJAR)
- Sadeghi, S., Qian, P.Z.G., and Arora, N. (2017). Sliced Minimum Aberration Designs for
Four-platform Experiments, to be submitted to Technometrics, PDF
- Sadeghi, S., Qian, P.Z.G., and Arora, N. (2016). Sliced Designs for Multi-platform Online Experiments, submitted to Marketing Science,
PDF
- Sadeghi, S., Arora, N., Qian, P.Z.G., Li, J. and Pavlidis, Y. (2015). Scalable Assessment of Cross Category
Promotion Effects Using Machine Learning, working paper
- Sadeghi, S. and Mahlooji, H. (2010). A New Approach in Fitting Linear Regression Models with the Aim of
Improving Accuracy and Power, Journal of Industrial and Systems Engineering (JISE), Volume 4, Number 2,
pp. 95-113
Other Projects
- 2015 - Data Division
Optimal division of large and complex datasets into homogeneous batches and allocation to different servers in order to do parallel computing
- 2015 - Cannibalization and Halo Effects
A probabilistic approach to Cannibalizations and Halo for modeling large and complex Sam's Club data
- 2014 - Search Engine Optimization
Keyword optimization on a complex dataset from Google AdWords and designing experiments
to fill empty spaces in order to improve conversion profitability
- 2014 - Predictive Modeling
Predictive response modeling effort in between two waves of mailings to QuickBooks customers
with the aim of improving wave-two response rates and company profits
- 2013 - Ranking Algorithms
Worked on a dataset from Expedia.com with the aim of learning from consumer behaviors in
order to rank hotels across different queries using machine learning algorithms
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