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Featured
Trainee - Data Analyst (SAS)
September 9, 1999

About Candidate

Results-oriented and detail-oriented SAS certified professional with a year of experience in SAS programming. Proficient in SAS Base, SAS Advance, SQL and CDISC standards. Experienced in working on various clinical data projects, ensuring accurate and efficient analysis of data. Seeking opportunities to leverage my skills and contribute to clinical research and data analysis.

Technical Project Experience
  1. Project name: Summary of Dose Limiting Toxicity
    Description: Conducted a summary analysis of the safety population for a clinical trial to evaluate the occurrence of dose-limiting toxicities.
    Tools and Technologies: SAS, Macro, SQL, Excel
    Result: Analysed the safety data to identify any dose-limiting toxicities and evaluated their impact on the clinical trial.
  2. Project Name: Summary of Medical/Surgical History
    Description: The project aimed to analyse the Medical History data to generate statistical reports and tables.
    Tools and Technologies: SAS, Macro, SQL, Excel
    Result: The statistical analysis included calculating frequency and percentages for patients with any medical history and classifying them based on the system organ class and Preferred Term associated with respective System Organ Class.
  3. Project Name: Summary of Physical Examination
    Description: Created a summary of the physical examination data collected from a clinical trial to support drug development.
    Tools and Technologies: SAS, SQL, Macro, Excel
    Result: Created a comprehensive summary of the physical examination data, including number of subjects with Normal findings, Abnormal findings and Number of Clinically Significant and insignificant cases Analysed the data using SAS and created visualizations to identify trends and anomalies.
  4. Project Name: Development of SDTM Dataset
    Description: Developed DM dataset by implementing CDISC's Standard SDTM, mapped the variables and their corresponding values using PROC FORMAT in accordance with the controlled terminology.
    Result: Mapped all Required and Expected variables in final Dataset, derived Age variable by utilizing RFSTDTC and BRTHDTC
Global Certifications (if any)

Education

B
Bachelor of Pharmacy 2022
Dr. D. Y. Patil college of Pharmacy, Akurdi, Pune
H
HSC
Dayanand Science College, Latur
S
SSC
Lal Bahadur Shastri Madhyamik Vidyalaya, Udgir

Work & Experience

T
Trainee April 11, 2024
KITE - AI Technologies Pvt Ltd.
I
Intern September 1, 2021 - August 1, 2021
Haffkine Bio-Pharmaceutical Corporation Limited.

Skills

SAS
CDISC
SDTM
ADaM
Pharmacovigilance
Regulatory Affairs