Puspendra Singh

***, ***-*, *** ***** Society, Gokhale Nagar, Pune – 411016.

Mob: +91-932*******/ +91-992******* Mail id: xdyt19@r.postjobfree.com

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SUMMARY:

-Playing a role of Subject Matter Expert (SME) which includes reading the Research papers and develop the algorithms in SAS, R (Excellent) and VBA to validate the result from the Research papers. I also partly work in testing of software.________________________________________________________________________________

EXPERIENCE:

Statistician in Cytel Statistical Software & Services Pvt. Ltd. June, 2008-Present

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PROJECT:

Developed a software called SIZ(R), a new affordable fixed sample size Clinical Trial Design Software. It includes (1) determining continuous, categorical, binomial and survival endpoints (2) Example of superiority, non-inferiority and equivalence trials (3) Parallel and cross-over study options and (4) Create study designs, performs simulation and analysis of study data.

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EDUCATION:

Examination University Institute Year CPI / %

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M.Sc. (Statistics) Indian Institute of Technology (IIT Bombay) 2008 8.31/10

B.Sc. (Statistics) Calcutta University Ashutosh College 2006 58.00

Intermediate/+2 West Bengal Board Shree Maheshwari Vidyalaya 2002 75.40

Matriculation West Bengal Board Shree Bal-Krishna Vithalnath Vidyalaya 2000 69.12

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AREA OF INTEREST:

Regression Analysis, Time Series, Actuarial Modeling and Sampling

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Software Proficiency:

Languages: R Programming and VBA Excel Programming

Packages: R (Excellent), SAS, Cytel Studio, Elements and StatXact.

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ACADEMIC ACHIEVEMENT:

(1) Member of Actuarial society (cleared CT-3, CT-4 and CT-6).

(2) Got a scholarship, from PFIZER from 2006 to 2008.

(3) 3rd rank in M.Sc.

(4) 22nd rank (AIR) in JAM Examination 2006.

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M.Sc. PROJECT:

Project Title: Evaluating new Biomarkers

Instead of running a long clinical study, say for cancer, and observing different mortality levels in different treatment groups, now it is possible to assess a new treatment using a biomarker which predicts mortality but can be measured earlier in less sick patients through Surrogate Endpoints. This project aims to investigate a perfect surrogate endpoint which can be replaced by true or final endpoints in the evaluation of experimental treatment.

Guided By: Prof. S V Sabnis (Department of Mathematics, IIT Bombay)