Resume of SAS Statistical Programmer/SAS Bio-Statistician - available for contract assignments anywhere in US.

Hi,

I am a Sr. Data Mining Consultant with more than 12 years experience as a SAS Statistical Programmer and SAS Bio-Statistician.

I am ready to relocate anywhere in US.
I am looking for corp to corp contract positions.

If you have a suitable positions please send me details.

Thanks,

Hari

Resume
Hari Puttur, PhD
hari.putur@gmail.com
Summary:
• More than 12 years as a SAS Statistical Programmer, SAS Bio-Statistician and Data Mining with experience in the following areas:
• Highly Skilled in SAS Programming application to deal with Data Manipulation and Data Steps, SAS Advanced Programming, SAS/Macro, SAS/SQL, SAS/E-Miner
(Data Mining for Marketing, Sales, Fraud Detection, Data Mining on Medication large amount of data) SAS/EGSA, SAS/STAT, SAS/GRAPH, SAS/QC, SAS/ETS, SAS Multivariate, SAS Design of Experiments, SAS Survival Analysis, E-Guide, E-Miner, SAS Predictive Modeling, SAS Cluster Analysis.
• Provide recommendations for the usage of customer predictive modeling on direct marketing activities for marketing team.
• Good experience in Developing, maintaining and enhancing statistical models to help generate profitable incremental sales in marketing.
• Good experience in working with marketing team to determine how modeling can be used to increase the efficiencies of direct marketing, improve customer
retention and increase cross sell opportunities.
• Develop and own profitable customer contact management strategies to orchestrate our go-to-market programs
• Conceptualize modeling framework, define data requirements, create predictive variables, and coordinate model implementation with other business partners.
• Leverage state-of-the-art data mining tools and modeling techniques to solve business problems.
• Prepare documentation for developed models and provide analysis support for business strategies.
• Demonstrate leadership by successfully managing medium to large projects
• Act as point for CRM Analytics on cross-functional teams
• Performed roles as project lead, technical lead, or team liaison /coordinator as needed.
• Research with strong domain knowledge in the fields of Applied Statistics, Practical Multivariate Research Applications, Predictive Modeling, ANOVA & Regression,
Design of Experiments, General Linear Modeling, Cluster Analysis, Mathematical Optimization, Time Series Forecasting and Econometrics.
• Worked in Financial Services
• Pharmaceutical Industry
• Health Care and Hospital Management Systems
• Clinical Trials
• Data Mining

Technical Skills:
SAS: SAS/BASE, SAS/MACRO, SAS/SQL, SAS/QC, SAS/ET, SAS/STAT, SAS/GRAPH, SAS/EGSA, SAS/EMiner, SAS ANOVA & Regression, SAS Design of Experiments, SAS Mathematical Optimization, SAS Predictive Modeling, SAS General Linear Models, SAS Cluster Analysis.
Data Mining: SAS/E-Miner
Other Tools: SPSS, MINITAB, ECONOMETRICA, GRAM++.

Education:
Ph.D - Doctorate in Statistics from Sri Venkateswara University, India
M.Sc - Masters in Statistics from Sri Venkateswara University, India

SAS Training Certification: SAS Institute, Johannesburg, South Africa
• SAS/BASE, SAS/MACRO, SAS/SQL, SAS/QC, SAS/ETS, SAS/STAT, SAS/GRAPH, SAS/EGSA, SAS/EMiner, SAS ANOVA & Regression, SAS Design of Experiments,
SAS Mathematical Optimization, SAS Predictive Modeling, SAS General Linear Models, SAS Cluster Analysis.

EMPLOYMENT HISTORY:

Franklin Templeton Investments, San Mateo, CA March 2007 to May 2007
Sr. Data Mining Consultant
Franklin Resources, Inc. is a global investment management organization known as Franklin Templeton Investments. FTT offer investment solutions under the Franklin, Templeton, Mutual Series, Bissett, Fiduciary Trust and Darby Overseas names. FTT manages investment vehicles for individuals, institutions, pension plans, trusts, partnerships and other clients.

Role:
• Manipulate the large volume of cases by deviating the missing values and characters such that the data needs to be cleaned.
• Develop predictive modeling for existing Franklin Templeton Funds and Products to identify and promote the funds
• Develop predictive modeling using decision tree approach with CHAID in appropriate data.
• Develop predictive modeling using regression approach with its various functions for identified targeted variables.
• Develop predictive modeling using clustering for segmentation GIS funds (taxed/non-taxed) across USA clients.
• Develop predictive modeling using neural network for fraud detection.
• Develop credit score/cards for funds and identify the credit risk.
• Provide mentorship for business users on data mining as Sr. Data Mining Analyst

Environment: SAS/Base, SAS/MACRO, SAS/STAT, SAS/GRAPH, SAS/ETS, SAS/E-Miner, SAS/EG, SAS/Cluster, SAS/OR, SAS/QC.

IMS Health, Philadelphia, PA Sept 2006 – Feb 2007
Sr. SAS Statistician

Role:
• The primary responsibilities include design, development, and evaluation of statistical techniques for a variety of marketing research and/or direct marketing
applications.
• Develop predictive models using regression analysis and data mining techniques to predict the risk of default and improve business strategies. -Use quantitative
methods to analyze data.
• Detect and fix data problems and ensure data integrity. -Evaluate and monitor quality of the models and their impact on business profitability.
• Assist in implementation of statistical models in production environment. -Lead a team of Analysts/Programmers.
• Design, plan, and coordinate analytic work.

Environment: SAS/Base, SAS/MACRO, SAS/STAT, SAS/GRAPH, SAS/ETS, SAS/E-Miner, SAS/EG, SAS/Cluster, SAS/OR, SAS/QC.

SUVEN LIFE SCIENCES LTD, HYDERABAD, INDIA August 2005 – Aug 2006
Clinical Bio-Statistician
Suven Life Sciences, in the business of design, manufacture and supply of Bulk Active, Drug Intermediates & Fine Chemicals, catering to the needs of global Life Science Industry, is committed to provide customers with products fulfilling customer's needs and expectations and its head quarters based in NJ, USA. Asian Clinical Trials (ACT), a full spectrum Contract/ Clinical Research Organization, is part of Suven Life Sciences Limited (Suven). ACT is a full service clinical research organization providing services for global pharmaceutical, biotechnology and medical device companies.

Role:
• Providing support to the SAS programmer and medical writers as a Clinical Bio-Statistician cum SAS Programmer on all statistical matters according to client
requirements.
• Providing input into statistical sections of the protocol, amendments, Clinical Development Plan and protocol development working with the client's statistical group
for running phases of clinical trials.
• Develop statistical analysis plan (SAP) and assist in preparing the data validation plan based on guidance from client.
• Work with programming team to provide definitions, documentation, and review of derived variables needed to produce planned tables, listings, and graphs.
• Develop data and programming specifications jointly with programmers.
• Assist in designing data presentations including summary tables, graphs, and subject listings
• Monitor data quality from a study conduct and output perspective.
• Perform statistical analysis according to the SAP, validate analysis programs, review graphs, prepare statistical methods and results sections for the clinical study
report (CSR).
• Perform and/or coordinate and oversee the preparation, execution, reporting and documentation of all analyses (interim and final).
• Assist in writing efficacy sections of clinical study reports and summary documents with in-house medical writers and the client's study team.
• Assume responsibility for quality and statistical integrity of clinical study reports and summary documents.
• Perform analyses and prepare data presentations for clinical registration dossiers based on strategies developed by the client.
• Mentor and provide guidance to medical writers and other team members as appropriate in statistical output.

Environment: SAS/Base, SAS/MACRO, SAS/STAT, SAS/GRAPH, SAS/ETS, SAS/E-Miner, SAS/EG, SAS/Cluster, SAS/OR, SAS/QC.

KFAF Hospital, Ministry of Health, Jeddah, Saudi Arabia Sept 2004 – Aug 2005
Specialist Statistician/Clinical Statistician
The King Fahd Armed Forces Hospital is situated in the busy seaport of Jeddah on the western seaboard of the Red Sea. This 500 bedded hospital plus five citywide satellite clinics form part of a national network of healthcare facilities directly managed by the Medical Services Division (MSD) of the Ministry of Defense and Aviation (MODA). The Cardiac Center, Oncology unit situated within the main hospital, is the only adult cardiac surgical facility in the Western Region.
There are various projects running in the hospital on health care system including the clinical trial experimentations. The Clinical/specialist Statistician involvement is a major role in all most all projects including the clinical trial experimentations. Build predictive modeling for health care large volume data for medical services division using data mining.

Role:
• Prepare clinical trial tables and listings to industry standard using SAS.
• Oversee management of databases and perform QC/QA checks.
• Develop and review statistical sections of clinical trial protocols and write statistical analysis plans and statistical sections of clinical trial reports.
• Work with the clinical project manager and data management team in the development of case report forms.
• Work with the clinical development team in the design of clinical trials.
• Analyze, interpret, and report clinical trial data.
• Consult as needed with laboratory scientists regarding design and analysis of biomedical experiments.
• The incumbent will: determine the optimal statistical approaches for hypotheses and in programming.
• Perform/interpret statistical analyses; assist with the presentation of findings; prepare statistical sections of manuscripts/preliminary data sections for grants.
• Provide statistical programming and analysis consultation for Diabetic Center fellows; design databases/data input screens; perform data management; develop
study protocols and write study document procedures including analysis plans, protocols, and standard operating procedures; design develop, document quality
control systems for data validation; provide technical support; and perform other duties as assigned.
• Build predictive models using data mining under SAS/Eminer platform for Medical services health care meta data whenever the assignment is on.
• The incumbent will: work with a group of collegial, innovative, productive epidemiology and health outcomes researchers in the Division of Internal Medicine.
• The incumbent will independently consult with PIs; plan and implement study projects and analyses; apply and develop mathematical models; perform and
interpret statistical analyses and assist with the presentation of findings.
• Interact with scientists conducting basic research leading to the discovery of new therapeutic agents. Develop and select appropriate statistical methods for the
design and analysis of experiments and scientific studies. Prepare reports, review project documents, and furnish responses to questions raised by regulatory
agencies. Serve as department representative on project teams. Deliver statistical training modules geared to the needs of scientists/consultants.

Environment: SAS/Base, SAS/MACRO, SAS/STAT, SAS/GRAPH, SAS/ETS, SAS/E-Miner, SAS/EG, SAS/Cluster, SAS/OR, SAS/QC.

Health Research Center, University of Kwa Zulu-Natal May 2002 - Aug 2004
Sr. Bio-Statistical Programmer

Altis® BioLogics (Pty) Limited, Johannesburg, South Africa
Clinical SAS-Biostatistician: Consultant
Altis® BioLogics is a Clinical Trials research Organization. ABL is a full service clinical research organization providing services for global pharmaceutical, biotechnology and medical device companies.

Role:
• Manage the team of Junior Biostatisticians and SAS programmers for delivering Clinical Trial reports.
• Overall management of clinical trial analysis as per standards which include the following:
Statistical inputs to protocol planning, sample size estimation, preparation and approval of statistical analysis plan, inputs to costing and timelines estimation,
generating outputs as per specifications using SAS, validation, and delivering projects as per agreed timelines without any errors in the program or reports.
• Planning and execution of projects and pipeline
• Coordinating with medical affairs and clinical data management team for effective execution of projects
• Participation in client meetings for capability presentation, business development etc.

Environment: SAS/Base, SAS/MACRO, SAS/STAT, SAS/GRAPH, SAS/ETS, SAS/E-Miner, SAS/EG, SAS/Cluster, SAS/OR, SAS/QC.

West Ville Hospital, Durban, South Africa
Sr. Bio-Statistical Programmer: Consultant

• Provide statistical programming support and validation of analysis datasets, pooled datasets, statistical tables, summaries figures and listings.
• Provide input into planning documents such as protocol, validation plan and report analysis plan.
• Provide outputs for clinical study reports and integrated summaries.
• Perform efficacy analysis.
• Establish and maintain sound working relationship and effective communications within biostatistics and statistical reporting and clinical research.

Environment: SAS/Base, SAS/MACRO, SAS/STAT, SAS/GRAPH, SAS/ETS, SAS/E-Miner, SAS/EG, SAS/Cluster, SAS/OR, SAS/QC.

Zulu Pharma, Zululand, South Africa
Sr. Bio-Statistician: Consultant

• Provide quantitative, statistical, experimental design & data management issues in support of process development & manufacturing.
• Produce SAS programming, statistical analysis & summaries. Interprets Experienced statistical & project implications of regulatory guidelines from FDA and other
agencies.

Environment: SAS/Base, SAS/MACRO, SAS/STAT, SAS/GRAPH, SAS/ETS, SAS/E-Miner, SAS/EG, SAS/Cluster, SAS/OR, SAS/QC.

Nelson Mandela Medical School Research Center, Durban, South Africa
Sr. Bio-Statistical Consultant/SAS

• Need to be a part of a team in charge of a broad range of statistical and bio-statistical activities, such as data analysis, and development of quantitative methods
in various areas of smoking and health research. Furthermore, the building of probabilistic disease-models is an important responsibility of the team.
• Need to have strong statistical background into the activities related to disease- and risk modeling.
• The work includes the development of Bayesian networks and comprises the identification, implementation and application of available methods.

Environment: SAS/Base, SAS/MACRO, SAS/STAT, SAS/GRAPH, SAS/ETS, SAS/E-Miner, SAS/EG, SAS/Cluster, SAS/OR, SAS/QC.

Data World, Durban, South Africa
SAS Programmer cum Statistician/Data Mining: Consultant
Data World is a leading South African ICT consulting company, specializing in the design, integration, build and configuration of business solutions using Data Mining, Text Mining (SAS/E-Miner) Microsoft .NET and J2EE technologies. We builds complex business systems that are web-enabled, multi-tiered, enterprise-based that often integrate into current IT systems. Our range of services and solutions include application design and development, enterprise application integration, IT architecture and consulting, support services, database services, enterprise content and web content management, business intelligence and data warehousing, with expertise in integrating these services spatially due to our extensive GIS experience.

Role:
• Valuation Issues in the Context of Property Tax Reform
• This study involves evaluation of the current system of land and property taxes and its deficiencies. The study defines the objectives, legal and institutional
constraints to reforming efforts for property tax reforms. Preparatory work is done for the implementation of the real property tax reform in Ethikweni Municipality, Durban, South Africa.
• This work is performed within the legislative and regulatory framework, and local organizational structure and support. The valuation aspects considered both
the theory and reality, and general mass appraisal principles.
• The statistical models for valuation included real estate analysis, coefficient of dispersion, regression models, predictive modeling using data mining, reliability,
factor analysis and inferential statistics using SAS/Base, SAS/STAT, SAS/GRAPH, SAS/E-Miner.

Environment: SAS/Base, SAS/MACRO, SAS/STAT, SAS/ETS, SAS/E-Miner, SAS/EG, SAS/Cluster, SAS/OR, SAS/QC.

Academic Research Center, Dravidian University, Kuppam, INDIA Oct 1999- April 2002
Sr.SAS Statistical Programmer

Development of computer programs to edit and manage the project data, development of query reports to be sent to participating sites to query questionable data, development of programs to merge files and maintain the project master file, development of programs to perform statistical analyses on the data, and development of programs to produce interim and final statistical reports.
Additional responsibilities include: documenting all project data, files, and programs in an organized and efficient manner; ensuring that all data collection and management activities are performed with the utmost attention to participant; participating actively in all national, regional, and local project development and training meetings; and maintaining collaborative relationships with Coordinating Center staff, staff at participating sites, technical assistance expert consultants, and other project stakeholders to foster successful project development and implementation Data warehouse design and implementation for health care systems data from nationwide clinical/non clinical study centers CHIS.

Environment: SAS/Base, SAS/MACRO, SAS/STAT, SAS/ETS, SAS/E-Miner, SAS/EG, SAS/Cluster, SAS/OR, SAS/QC.

Department of Statistics, Sri Venkateswara University, Tirupati, INDIA July 1996 – Sept 1999
SAS Statistical Programmer

• Conducts studies requiring the collection, assembly, and compilation of social, economic, scientific, or engineering data.
• Determines sampling methods to be used.
• Studies methods of analyses for surveys.
• Prepares analyses of statistical tables, charts, and graphs and application of predictive models using data mining under SAS/E-miner platform.
• Develops equations for analyzing specific types of data.
• Prepares charts, tables, and graphs; checks computations; and maintains records pertaining to the work.
• Interprets and evaluates the results of research projects.
• Prepares scientific articles and reports.
• Assists in the training of less-experienced Statisticians and data miners.
• Maintains records, and prepares reports and correspondence related to the work.
• Performs related work as assigned.

Environment: SAS/Base, SAS/MACRO, SAS/STAT, SAS/ETS, SAS/E-Miner, SAS/EG, SAS/Cluster, SAS/OR, SAS/QC.