Sandeep Rajput
EMAIL: sandeep_rajput@hotmail.com
PHONE: (425) 449 9554 [Cell]
WEB: www.sandeeprajput.com
Professional Summary
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13 years in Predictive/scientific analytics development and management in Industry; 5 in academia
5 years team management 4-8 FTEs and 20-30 contractors distributed globally; 8 years as team lead
Knowledgeable about classical and modern tools and technologies (C++, SAS, SQL to Java, R, Hadoop)
Professional Experience
2010—2013
PRINCIPAL DATA SCIENTIST & GROUP PRODUCT MANAGER (MONETIZATION), Microsoft
Built models and algorithms to flag harvested or pirated Win7 license keys worldwide from large data.
Modeled and identified signatures of piracy for several licensing channels
Led keystone projects to unlock advertiser demand on adCenter (aka Bing Ads) by 40-60% through
specific bid, keyword and campaign guidance at scale through scientific analysis of massive data
DATA SCIENCE
DIGITAL ADVERTISING
Created demand and supply slices via data mining on Bing Ads monetization data; modeled revenue
displacement and other metrics for effective use of marketing resources
BIG DATA
2003—2010
SENIOR RESEARCH SCIENTIST LEAD, Fair Isaac Corporation (FICO)
PREDICTIVE MODELING
Built suites of models (regression, neural networks, additive models) to predict delinquency, likelihood
to pay, revenue, profit, attrition, payment card and e-commerce fraud for clients in North America,
Europe and Middle East; advised on optimal strategies for these outcomes
MACHINE LEARNING
Developed feature libraries of consumer preferences from time-series and textual information,
predictive models with these features helped generate new line of revenue
PROD. DEVELOPMENT
Applied R&D evaluating alternate predictive algorithms, feature selection methodologies and using
multiple scores to optimize customer lifetime value; implemented model monitoring schemes
Designed the 2009 FICO/UCSD Data Mining Contest (304 teams from 35 countries contested)
DATA MINING
Co-founded the internal wiki on predictive modeling for training and reference; served as subject
matter expert on predictive modeling process, from data summary to post-deployment activities
RETAIL BUSINESS
Consulted to optimize store location and targeting; analyzed campaign performance; built direct
marketing response/conversion models; helped optimize product offerings
1996—1998
ASSISTANT MANAGER (PROJECTS), Reliance Industries Limited
TECH. PROGRAM
Managed the revamp of a Polyester Staple Fiber (PSF) plant to double production; created equipment
specs, supervised technical output of vendor engineers; designed the DCS dashboard
MODELING/SIMULATION
Technical consulting for executive engineers; created math models to fit observed measurements,
simulated control strategies to help reduce downtime and accidental shutdown
1998—2003
GRAD. RESEARCH ASSISTANT, Measurement and Control Engineering Center
SCIENTIFIC MODELING
Developed a Matlab toolbox to track small particles in fluidized beds from videos/movies to
characterize the velocity fields; compared experimental output with CFD simulations
DATA SCIENCE
Consulted with large chemical companies for fault diagnosis and monitoring via nonlinear time-series
analysis; Developed GUI software package for nonlinear time-series analysis in Matlab; held workshops
for industry attendees, created training material and manuals
Education
Ph.D.
CHEMICAL ENGINEERING
The University of Tennessee, Knoxville
1998—2003
M.S.
STATISTICS
The University of Tennessee, Knoxville
2002—2003
B. S.
CHEMICAL ENGINEERING
Indian Institute of Technology, Kanpur, India
1992—1996
Technical Skills
PROGRAMMING
ANALYSIS
BIG DATA
MODELING
MACHINE LEARNING
C++, Java, Perl, Python, Scala, Fortran; Eclipse, NetBeans, Visual Studio; Subversion, Maven
Matlab, R, SAS, NumPy/SciPy/Pandas, Octave; LaTeX, Beamer; MS Word, Excel, PowerPoint, Visio
Apache Hadoop, Hive, Pig; Mallet, OpenNLP, Lucene/Solr; SQL Server, PostGreSQL
Linear, logistic and generalized regression; Generalized additive models; Bayesian models
Neural networks, Clustering; Mixture Models; Random forests; Decision trees
Applied Research
2014
Web users as Automatons with limited Sentience: a Physics-based model of user interaction.
2013
[w/Paul Smolikov] Segmenting Web users by informational needs: A case study on Bing users.
Heavy tails in Online Experiments: Power laws and preferential attachment.
Measuring scale in second-price auctions.
2012
Six tropes and the alignment of demand and supply.
2011
Search user intent and the primacy of local time.
2010
Modeling Search marketplace metrics with Robust AR models.
2009
Neural Networks and Special Values: Building better predictive models.
2008
Next Best Action: a Reinforcement Learning paradigm.
2007
Recursive profiling and its impact on model performance.
2005
Event-triggered marketing: reaching customers at the right time.
2004
Dynamic marketing strategy to detect customer lifestyle changes.
Academic Research
2004
2003
Sarnobat, S. U., Rajput, S., Bruns, D. D., DePaoli, D. W., Daw, C. S. and Nguyen, K. (2004). Impact of external
electrostatic fields on gas-liquid bubbling dynamics. Chem. Eng. Sci. 59(1), 247—258.
Rajput, S. and Bruns, D. D. (2003). Nonlinear time series analysis of flooding in a distillation column, Paper 465d, in
Proc. AIChE Annual Meeting 2003. ISBN 0-8169-0941-5
Rajput, S. and Bruns, D. D. (2003), Principal Curves and Chaos, AIP Conf. Proc., 676(1), 327-332.
Rajput, S. and Bruns, D. D. (2003). Numerical simulations of the fluidized bed experiments using MFIX multiphase
CFD code. Report for Oak Ridge National Laboratory, ORNL-400002312
Rajput, S. and Bruns, D. D. (2003). Detection of Velocity Fields from videos of particles in fluidized beds. Report for
Oak Ridge National Laboratory, ORNL-400002312.
2002
Rajput, S. and Bozdogan, H. (2002). Choosing the number of PCs in localized PCA using kernel smoothing and
information-theoretic criteria. Report for Statistics Dept., UT Knoxville.
2000
Rajput, S., Shul-Cloper, R., Abidi, M. A. and Gonzalez, R. C. (2000). A new method for searching an image in a scene.
Report for IRIS Lab, Elec. & Comp. Eng. Dept., UT Knoxville.