Data Mining, Advanced Analytics, SAS, R, Predictive Modeling, Forecasting

1. Subrata Kumar Satpati
#203, Cynosure Block, Aditha Soigne, BEML Road, Shivanand Nagar, New Thippasandra Post
Bangalore, India – 560 075
M. +91 9741 554725
Senior Statistician, Project Manager, SAS programmer, Predictive/Prescriptive/Forecasting
modeler in HP. Always looking for efficiency improvement in terms time and quality.
Work Experience
2007 – Now:HP as Statistician, Data Modeler, Forecasting and Analyst Expert – worked on automated
Forecasting, Data Mining, Text Mining, Data Modeling, Campaign Analytics, Market study, Competitor
Benchmarking, Life Cycle Rate Modeling. Exposure to database tools like Vertica,Oracle, and SQL
Server. Visualization tool: Tableau, Analytics Tool: SAS, R. Key Highlights
- Train people in SAS Methodologies, R-Methodologies to onboard on this advanced statistical
tool
- Mentor and consultancy on Statistical technique and Data handling used
- Machine learning on service ticket life cycle
- Tableau/Power BI dashboard development
- Worked on Product Quality domain, Customer Support domain, Warranty Domain, Product
Life Cycle, Customer Life Cycle and Customer touchpoint analysis
- Trained Project Management Specialist
2005:worked in Infosys as Data Mining Researcher,SAS and Analytics lead
2006:worked in IASRI as RA,SAS, Research
Analytics Projects
L3-L4 Analytics:Call center operations metrics L4 to customer matric L3 correlations and building
predictive model to study the relationships between call centers metric to customer perception of the HP
metric. HP has roughly 1 billion customer base. 15-20 % of the customer faces some issues during the
warranty periods of their products and around 25% customer seeks supports at overall warranty level.
Using big data analytics technique we merge the L3 data and L4 data. Survey response is around 20%
resulting to 5% of the customer bases i.e. 0.05 billion customer. Mostly SEM model has been used to get
the effects and factor modelling is used to get the prediction model. (SAS, Vertica,Oracle)
Goal Setting:HP constantly monitored 100 different metrics on constant basis. Based on bench marking
study and current level of performance we arrived at the SMART goal. A scenario based tool has been
developed to assist the business managers to set a smart goal to fine tune the given goal based on the
customer care center or region he leads. (SAS, Excel)
Customer Life Cycle Touch Point Analysis:To study the customer behavior from pre sales marketing
campaign, Purchase experience,Install experience, use experience and call support/repair support

2. experience Neilson conducted survey for overall customer base who touches all the experiences in last 2
years. Net promoter scores of the brand has been studied, to know when the customer detracted from the
brand. (SAS, R, Clarabridge)
Product Life Cycle Analysis:Early warning system of each product quality at factory level and field
level metrics if going out of control or deviating from the goal is set up using Vertica and R integration
technology. All the products by ODMs and all of the metrics in Plan, Design, Built and Field stage is
monitored. Any metric moving out of control a signal of warning will be send. (Vertica,SAS, R, Tableau,
Share point)
Warranty Forecasting:Life time failure rate for each of all products in Inkjet section has been
forecasted and monthly failures, total calls and service calls are being forecasted using mixtures of
ARIMA model, Growth model like BASS, Logistic or Gompertz model and trivial trending of failure
rates of the related products. The failures then aggregated at the quarterly level and at financial year level
to facilitate the budget snapshot plan of respective business unit. (SAS, SQL Server, Oracle)
ResearchProjects
Ph.D. Thesis
Title: Computer-aided Search of Efficient Designs for Dependent Observations
Efficient design for specific parametric combinations has been obtained through the software developed in
VC++. There are four modules in the software, viz. all possible pairwise comparisons of the treatment
effects for Block designs, for nested block designs and for changeover designs, and Test-Control
comparisons for circular block designs with AR(1), Nearest Neighbor, and Spatial Correlation Structure.
M.Sc. Thesis
Title: Nested Block Designs and Their Applications
All the variance balanced Nested Block Designs were catalogued and some partially balanced nested
incomplete block (PBNIB) designs have been obtained. All the PBNIB designs available in the literature
and obtained in the project were catalogued. Nested block designs those are useful for making test
treatments and control treatment comparisons has been obtained and catalogued.
Education
2001-2006 Ph.D. Statistics,Indian Agricultural Statistics Research Institute, New Delhi
1999-2001 M.Sc.Statistics,Indian Agricultural Statistics Research Institute,New Delhi
1994-1998 B.Sc.,Palli Siksha Bhavana,Visva Bharati, West Bengal-731236
Fellowships Received
CSIR/SRF January 2005-June 2005
CSIR/JRF January 2003 to December 2004.
SRF from Indian Agricultural Research Institute from 2001-2002.
JRF from ICAR from 1999 - 2001.
Fellowship from Jindal Trust to pursuing BSc 1994-1998.
National Scholarship pursuing Higher Secondary Education 1992-1994.

3. StatisticalSkillset
Multivariate Analysis: Basic Multivariate Analyses, MANOVA.
Regression Analysis: Linear and Non-Linear models, Logistic Regression
Operation Research: Linear and Non-Linear Optimizations
Design ofExperiments: Basic and Advance Designs, Designs for Response Surfaces,Bioassay
Sampling and Survey Techniques: Sampling Design, Questionnaire Building
Statistical Methods and Inference: Descriptive Statistics, Transformation, Correlation Analysis
StatisticalSoftware Skills
Statistical Software: SAS, R.
Languages:R, SAS, C, VC
RDBMS:SQL Server, Oracle, Vertica
Publications
2004: Paper in Ars Combinatoria (Published, VOL 73, pp. 299-309) entitled Construction and
Cataloguing of Nested Partially Balanced Incomplete Block Designs.
2005: Paper in Utilitas Mathematika (Published, VOL 68, pp. 271-281) entitled Nested Block Designs for
Comparing Test Treatments with a Control.
2006: Paper in Journal of Combinatorics, Information and System Sciences (Published, Vol 31, pp. 163-
186) entitled Computer aided search of efficient nested incomplete block designsfor correlated
observations
2007: Paper in Communications in Statistics—Theory and Methods (Published, Vol 36, pp. 1187-1223)
entitled Efficient Block Designsfor Dependent Observations—A Computer-Aided Search
2008: A monograph on Alpha –Design,IASRI,New Delhi.
2012: A paper is communicated to Communications in Statistics—Theory and Methods (Published, Vol
41, 3786-3798) entitled Computer Generated Change OverDesignsfor Correlated Observations
2012: Sustainability and Food Security of West Bengal
PERSONALINFORMATION
Father's Name: Mr. Nimai Chand Satpati
Mother’s Name: Mrs. Kalpana Satpati
Date of Birth: November 06, 1976
Marital Status: Married and have Kid
Nationality: Indian
Interests: Football, Athletics, Swimming, Music and Movie