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Professional Summary- 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 ScientistGroup Product Manager(Monetization), Microsoft
Data Science / 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
Digital Advertising / Led keystone projects to unlock advertiser demand on adCenter (aka Bing Ads) by 40-60% through specific bid, keyword and campaign guidance at scalethrough scientific analysis of massive data
Big Data / 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
2003—2010 SeniorResearch 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
Data Mining / Designed the 2009 FICO/UCSD Data Mining Contest (304 teams from 35 countries contested)
Co-founded the internal wiki on predictive modeling for training and reference; served as subject matter expert on predictive modeling process, from data summaryto 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 / C++, Java, Perl, Python, Scala, Fortran; Eclipse, NetBeans, Visual Studio;Subversion, Maven
Analysis / Matlab, R, SAS, NumPy/SciPy/Pandas, Octave; LaTeX, Beamer; MS Word, Excel, PowerPoint, Visio
Big Data / Apache Hadoop, Hive, Pig;Mallet, OpenNLP, Lucene/Solr; SQL Server, PostGreSQL
Modeling / Linear, logistic and generalized regression; Generalized additive models; Bayesian models
Machine Learning / 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 / 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.
2003 / 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.