1. Narayana P
Email: narayana.panidapu@gmail.com
Mobile: +91 - 9985206910
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PROFESSIONAL SUMMARY:
 Around three years of professional experience as Associate Stat Programmer in
clinical research.
 Demonstrate excellent problem solving skills, a proactive approach and a
willingness to make decisions on a regular basis.
 Display a positive attitude at all times, promoting and contributing to good team
spirit in a professional environment.
 Good working knowledge of Clinical Trials data like Demographic data, Adverse
events, ECG, Medical history, Laboratory data, Vital signs, Concomitant
medications, etc.
 Working experience on therapeutic areas like Endocrinology, Infections and
Infectious Diseases, Gastroenterology.
 Programming experience with different SAS procedures and Functions.
 Extensively used existing macros and developed SAS Programs, Analysis and
Report generation.
 Good knowledge in CDISC (Clinical Data Interchange Standard Consortium).
TECHNICAL SKILLS:
 SAS: SAS/BASE, SAS/MACROS, SAS/SQL.
 OS: Windows XP, 2003 server.
ACADEMICS:
 M.B.A from Osmania University in 2010.
 B.Sc from Acharya Nagarjuna University in 2008.
WORK EXPERIENCE:
Company: iGrid Technologies
Duration: Dec 2012 – Till Date
Designation: Associate Stat Programmer

2. Project # 1:
Control labeled and randomized study to evaluate the safety and efficacy of FDC study
drug with comparator in the management of patients with type-II diabetes mellitus.
Project # 2:
An open labeled and randomized study to evaluate the efficacy and safety of study drug
with comparator in patients suffering from various bacterial infections.
Project # 3:
An evaluation of efficacy and safety of study drug alone in the management of subjects
with dementia in an open labeled, prospective clinical trial.
Project # 4:
An open labeled, double arm and prospective study to assess the efficacy and gastric
tolerability of fixed dose combination of study drug with comparator in acute pain
management.
Responsibilities:
 Creating SAS datasets from source clinical database.
 Creating SAS programs to generate tables, listings, and figures.
 Validating the tables, listing and figures.
 Implementing analyses specified in the protocol, the Statistical Analysis Plan
(SAP) while working with the project statistician.
 Working in cycle with Biostatistics and Data Management member on various
clinical projects.
 Communicate with programming and statistics leads.
 Utilizing SAS programming skills for clinical trial analysis and reporting.
 Start monitoring of data transfers for ongoing trials to identify study conduct or
data quality issues.
 Implementation of defined quality control procedures and to work in compliance
with regulatory requirements and SOP's.
 Creating and maintaining study activity documents for future reference.