Sesha Padmaja Peddada

SAS Programmer

302-***-****

adt30z@r.postjobfree.com

Professional Summary:

Certified SAS Professional with 6 years of experience in Statistical Analysis and in Clinical

Research / Healthcare Industry with experience on Statistical data analysis using SAS and excel

with 4 years of work experience in USA.

Certified BASE/SAS Programmer.

Experience in Insurance and Clinical Programmer.

Experience in extracting data from different data bases.

Experience in clinical trials programming in SAS with the knowledge of validating and reporting

clinical trial data and techniques.

Extensively worked with SAS programming features such as SAS/BASE, SAS/Macros, and

SAS/ODS, SAS/SQL and SAS/Graphs.

Experience in reviewing Clinical Trial Data, conducting statistical analysis, and generating reports

and TLFs (Tables, Listings and Figures).

Excellent experience in validating and reporting clinical trial data techniques.

Annotated CRF and mapped data according to project requirements, performed study specific

Edit Checks.

Developed SAS Macros to simplify SAS code and effectively reduce coding time.

Experience with open CDisc-validator tool for validating data sets.

Experience in using Business Intelligence Tools like Tableau and generating reports.

Experience in using versioning tool Tortoise for versioning control.

Good programming experience in creating SAS datasets and creating define. xml files.

Creation and validation of safety tables for different phases of clinical trials.

Experience in both production and/or QC programming of SDTM datasets, analysis datasets,

tables, listings and figures, for multiple clinical trials

Proficient in using Spotfire for visualization and exploring the data for further process and reports.

Manage relations between data sets in Spotfire.

Effective team player with strong communication & interpersonal skills, and self-motivated

individual with strong technical & analytical ability.

Good understanding of SOP, protocol and Clinical Data Interchange Standard Consortium

(CDISC) to achieve project required data analysis and made manipulation of data according to

standards.

Environment:

SAS/BASE, SAS/STAT, SAS/SQL, SAS/GRAPH, SAS/MACROS, SAS/ODS, MS Excel

Tortoise SVN, SAS Viewer, SAS /Universal tool, SAS /LOG Checker, Open CDISC-validator tool,

and Spotfire.

Data Analyst/Manager, Harrisburg August 2019-September 2019

Provided analysis and evaluation for State Hospital data.

Generating State and Federal reports and OMHSAS reports.

Gathering information through data systems and system queries.

Collaborated with administrative and program office leads to determine evaluation parameters

and methods.

Supported the review and preparation of Federal or state data reports necessary to retain or

qualify for Federal or other funding.

Analyzed OMHSAS benchmarks to ensure alignment with best practices and state and federal

requirements.

Environment:

MS Excel, SAS Base and Tableau.

Senior Data Analyst, Gateway Health, Pittsburgh March 2019 – June 2019

Experience with analyzing data from different sources.

Validation of data and comparing data with peer programming to validate data.

Responsible for maintaining Capacity Models.

Experience in managing Medicaid and Medicare data for report analysis.

Maintaining Outreach, Utility Model Staffing Models and giving appropriate suggestions for

Staffing Recruitment like UM Nurses and PCP staffing.

Responsible for maintaining Visio data models and making changes in business whenever there

is new business scenario.

Developing new model for Risk Stratification.

Involved in development of new model from existing data sets and creating new variables and

taking part in development.

Produced report for Population Reports as per business requirement.

Created required flags and make use of company developed Macros to produce Population

Reports.

Made necessary changes in data as well as macros to produce required reports.

Produced Population Reports to report county level Population Segmentation and to compare

budget allocations.

Generated reports using Tableau.

Environment:

SAS Base/Advanced, SAS Enterprise Version, MS Excel, SAS Macros, SAS/ODS, MS Visio tool and

Tableau.

SAS Programmer, T. A. Sciences, New York

Project 1 Cardiovascular Project Treatment Based 10/2016-02/2019

Double blind, double dummy, randomized 2-way crossover study with two arm treatments to compare the

pharmacodynamic effect in different age groups of males and females.

Extensive experience in SDTM CRF ANNOTATIONS, review source data and writing Mapping

specs in EXCEL, and developing domains using SAS.

Develop Specification documents with clear mapping comments in CDISC SDTM standards by

following SDTM IG and CDISC Control Terminology document.

Review CRF design based on SAP and Protocol.

Develop new SAS programs, templates, and modify and maintain existing SAS programs and

macros.

Respond to ad-hoc requests including data reconciliation reports from data management team in

timely manner.

Validation of programs and compared data sets

Maintained QC tracking sheet as a lead programmer as well as an individual programmer.

Experience with OPEN CDISC VALIDATOR TOOL for the validation process and maintain the

issue log with resolution comments.

Generated Tables, Listings and Figures using validated data.

Generate SDTM compliant domains from the operational data.

Manage relations between data sets on Spotfire.

Generate bar charts for categorical variables and pie charts for numerical variables.

Review data for outliers of the data and made corrections in SAS data sets to submit the data to

Spotfire

Create spider plot for lab data and water fall charts for data review.

Create and manage dashboard and maintain documentation for data sets

Created AERS as safety data and managed data with base data set.

Good use of filters to create reports of data aers, drug, outcome and rpsr data sets

Experience in using Spotfire for visualization and exploring the data for further process and

reports.

Environment:

SAS/BASE, SAS/STAT, SAS/SQL, SAS/GRAPH, SAS/MACROS, SAS/ODS, MS Excel

Tortoise SVN, SAS Viewer, SAS/Universal tool, SAS /LOG Checker, Open CDISC-validator tool and

Spotfire.

Project 2 Cardiovascular Project (Cohort) 10/2015 – 10/2017

Double blind, double dummy, randomized 2-way crossover study with two arm treatments to compare the

pharmacodynamic effect in different age groups of males and females.

Created analysis datasets from raw datasets for clinical project.

Validated and QC of analysis datasets and tables, and listing.

Developed and customized macros according to the project.

Maintained QC tracking sheet as a lead programmer as well as an individual programmer.

Created exploratory and professional graphs for data. Vbar, Hbar, pie charts for categorical

variables and plot charts for continuous variables.

Created Data Definition Documents (DDD) and converted xpt files for FDA submission.

Created and maintained programs for tables, listings and final submissions of FDA submissions.

Created new variables for AE data set for AEdur (Adverse Event Duration time).

Calculated new variables CBL (Change from Baseline) and PCBL (Percentage Change from

Baseline) for Lab data set and ECG data sets.

Calculated new variables CBL (Change from Baseline) and PCBL (Percentage Change from

Baseline) for Lab data set and ECG data sets.

Created new variable CS (Center Subject) AGR (Age Gender Race), calculated BMI and created

USUBJID (Universal Subject ID) for ADSL data set.

Counted frequencies and percentages, summary statistics of categorical variables by individual

programming to compare the counts and validate data for team members.

Calculated the summary statistics for numerical variables

Maintained edit checks of the program for final submission.

Extensive use of Cdisc validator tool for the validation of the data sets.

Created reports using ODS in PDF, RTF and HTML formats.

Created exploratory and professional graphs for data. Vbar, Hbar, pie charts for categorical

variables and plot charts for continuous variables.

Environment:

SAS/BASE, SAS/STAT, SAS/SQL, SAS/GRAPH, SAS/MACROS, SAS/ODS, MS Excel

Tortoise SVN, SAS Viewer, SAS/UNIVERSAL TOOL, SAS /LOG Checker, Open CDISC-validator tool

and Spotfire.

Project 3 FAERS Post-Marketing Pharmacovigilance: 01/2014 – 02/2019

Maintained track of quarterly data in FAERS.

Extensively worked on importing external data from different data sources to SAS and exported

SAS data sets to xpt: FDA and NON-FDA files.

Developed programs for generating Tables, Listings and Graphs.

Completed data analysis and listing in a timely manner with team collaboration.

Involved in validation of data and QC of tables, listings and analysis datasets.

Created Data Definition Documents (DDD) and converted xpt files for FDA submission.

Extensively used functions like numeric, character, date and statistical functions for normalizing the

and analyzing data sets.

Maintained QC tracking sheet to track the progress of the project and team responsibilities in timely

manner.

Experience in both production and/or QC programming of SDTM datasets, analysis datasets,

tables, listings and figures, for multiple clinical trials

Created G-Chart graphs for categorical and continuous variables using patters, symbols, cutline,

explode and Interpol options. Used Interpol to generate a cubic regression with 90% confidence of

data.

Environment:

SAS/BASE, SAS/STAT, SAS/SQL, SAS/GRAPH, SAS/MACROS, SAS/ODS, MS Excel

Tortoise SVN, SAS Viewer, SAS/Universal tool, SAS /LOG Checker, Open CDISC-validator tool and

Spotfire.

Center for Population Development Services (India)

Quality Analyst 7/2010 / 10/2013

Center for Population Development Services is population survey program conducted by government of

India is large scale, multi-round survey conducted in a representative of households through various

agencies and data collected is used for development and implementing government schemes.

Involved in acquiring data from various data bases and normalized data according to the given

template.

Worked on sample size data from questioners for developing reports.

Normalized data collected from different centers for continues data flow.

Checked for missing data, if any data missing imputed various data correction methods to get the

desired data.

Involved in quality Control of data by validating and normalizing data.

Conducted edit checks in data for accuracy.

Created reportSesha Padmaja Peddada

SAS Programmer

302-***-****

adt30z@r.postjobfree.com

Professional Summary:

Certified SAS Professional with 6 years of experience in Statistical Analysis and in Clinical

Research / Healthcare Industry with experience on Statistical data analysis using SAS and excel

with 4 years of work experience in USA.

Certified BASE/SAS Programmer.

Experience in Insurance and Clinical Programmer.

Experience in extracting data from different data bases.

Experience in clinical trials programming in SAS with the knowledge of validating and reporting

clinical trial data and techniques.

Extensively worked with SAS programming features such as SAS/BASE, SAS/Macros, and

SAS/ODS, SAS/SQL and SAS/Graphs.

Experience in reviewing Clinical Trial Data, conducting statistical analysis, and generating reports

and TLFs (Tables, Listings and Figures).

Excellent experience in validating and reporting clinical trial data techniques.

Annotated CRF and mapped data according to project requirements, performed study specific

Edit Checks.

Developed SAS Macros to simplify SAS code and effectively reduce coding time.

Experience with open CDisc-validator tool for validating data sets.

Experience in using Business Intelligence Tools like Tableau and generating reports.

Experience in using versioning tool Tortoise for versioning control.

Good programming experience in creating SAS datasets and creating define. xml files.

Creation and validation of safety tables for different phases of clinical trials.

Experience in both production and/or QC programming of SDTM datasets, analysis datasets,

tables, listings and figures, for multiple clinical trials

Proficient in using Spotfire for visualization and exploring the data for further process and reports.

Manage relations between data sets in Spotfire.

Effective team player with strong communication & interpersonal skills, and self-motivated

individual with strong technical & analytical ability.

Good understanding of SOP, protocol and Clinical Data Interchange Standard Consortium

(CDISC) to achieve project required data analysis and made manipulation of data according to

standards.

Environment:

SAS/BASE, SAS/STAT, SAS/SQL, SAS/GRAPH, SAS/MACROS, SAS/ODS, MS Excel

Tortoise SVN, SAS Viewer, SAS /Universal tool, SAS /LOG Checker, Open CDISC-validator tool,

and Spotfire.

Data Analyst/Manager, Harrisburg August 2019-September 2019

Provided analysis and evaluation for State Hospital data.

Generating State and Federal reports and OMHSAS reports.

Gathering information through data systems and system queries.

Collaborated with administrative and program office leads to determine evaluation parameters

and methods.

Supported the review and preparation of Federal or state data reports necessary to retain or

qualify for Federal or other funding.

Analyzed OMHSAS benchmarks to ensure alignment with best practices and state and federal

requirements.

Environment:

MS Excel, SAS Base and Tableau.

Senior Data Analyst, Gateway Health, Pittsburgh March 2019 – June 2019

Experience with analyzing data from different sources.

Validation of data and comparing data with peer programming to validate data.

Responsible for maintaining Capacity Models.

Experience in managing Medicaid and Medicare data for report analysis.

Maintaining Outreach, Utility Model Staffing Models and giving appropriate suggestions for

Staffing Recruitment like UM Nurses and PCP staffing.

Responsible for maintaining Visio data models and making changes in business whenever there

is new business scenario.

Developing new model for Risk Stratification.

Involved in development of new model from existing data sets and creating new variables and

taking part in development.

Produced report for Population Reports as per business requirement.

Created required flags and make use of company developed Macros to produce Population

Reports.

Made necessary changes in data as well as macros to produce required reports.

Produced Population Reports to report county level Population Segmentation and to compare

budget allocations.

Generated reports using Tableau.

Environment:

SAS Base/Advanced, SAS Enterprise Version, MS Excel, SAS Macros, SAS/ODS, MS Visio tool and

Tableau.

SAS Programmer, T. A. Sciences, New York

Project 1 Cardiovascular Project Treatment Based 10/2016-02/2019

Double blind, double dummy, randomized 2-way crossover study with two arm treatments to compare the

pharmacodynamic effect in different age groups of males and females.

Extensive experience in SDTM CRF ANNOTATIONS, review source data and writing Mapping

specs in EXCEL, and developing domains using SAS.

Develop Specification documents with clear mapping comments in CDISC SDTM standards by

following SDTM IG and CDISC Control Terminology document.

Review CRF design based on SAP and Protocol.

Develop new SAS programs, templates, and modify and maintain existing SAS programs and

macros.

Respond to ad-hoc requests including data reconciliation reports from data management team in

timely manner.

Validation of programs and compared data sets

Maintained QC tracking sheet as a lead programmer as well as an individual programmer.

Experience with OPEN CDISC VALIDATOR TOOL for the validation process and maintain the

issue log with resolution comments.

Generated Tables, Listings and Figures using validated data.

Generate SDTM compliant domains from the operational data.

Manage relations between data sets on Spotfire.

Generate bar charts for categorical variables and pie charts for numerical variables.

Review data for outliers of the data and made corrections in SAS data sets to submit the data to

Spotfire

Create spider plot for lab data and water fall charts for data review.

Create and manage dashboard and maintain documentation for data sets

Created AERS as safety data and managed data with base data set.

Good use of filters to create reports of data aers, drug, outcome and rpsr data sets

Experience in using Spotfire for visualization and exploring the data for further process and

reports.

Environment:

SAS/BASE, SAS/STAT, SAS/SQL, SAS/GRAPH, SAS/MACROS, SAS/ODS, MS Excel

Tortoise SVN, SAS Viewer, SAS/Universal tool, SAS /LOG Checker, Open CDISC-validator tool and

Spotfire.

Project 2 Cardiovascular Project (Cohort) 10/2015 – 10/2017

Double blind, double dummy, randomized 2-way crossover study with two arm treatments to compare the

pharmacodynamic effect in different age groups of males and females.

Created analysis datasets from raw datasets for clinical project.

Validated and QC of analysis datasets and tables, and listing.

Developed and customized macros according to the project.

Maintained QC tracking sheet as a lead programmer as well as an individual programmer.

Created exploratory and professional graphs for data. Vbar, Hbar, pie charts for categorical

variables and plot charts for continuous variables.

Created Data Definition Documents (DDD) and converted xpt files for FDA submission.

Created and maintained programs for tables, listings and final submissions of FDA submissions.

Created new variables for AE data set for AEdur (Adverse Event Duration time).

Calculated new variables CBL (Change from Baseline) and PCBL (Percentage Change from

Baseline) for Lab data set and ECG data sets.

Calculated new variables CBL (Change from Baseline) and PCBL (Percentage Change from

Baseline) for Lab data set and ECG data sets.

Created new variable CS (Center Subject) AGR (Age Gender Race), calculated BMI and created

USUBJID (Universal Subject ID) for ADSL data set.

Counted frequencies and percentages, summary statistics of categorical variables by individual

programming to compare the counts and validate data for team members.

Calculated the summary statistics for numerical variables

Maintained edit checks of the program for final submission.

Extensive use of Cdisc validator tool for the validation of the data sets.

Created reports using ODS in PDF, RTF and HTML formats.

Created exploratory and professional graphs for data. Vbar, Hbar, pie charts for categorical

variables and plot charts for continuous variables.

Environment:

SAS/BASE, SAS/STAT, SAS/SQL, SAS/GRAPH, SAS/MACROS, SAS/ODS, MS Excel

Tortoise SVN, SAS Viewer, SAS/UNIVERSAL TOOL, SAS /LOG Checker, Open CDISC-validator tool

and Spotfire.

Project 3 FAERS Post-Marketing Pharmacovigilance: 01/2014 – 02/2019

Maintained track of quarterly data in FAERS.

Extensively worked on importing external data from different data sources to SAS and exported

SAS data sets to xpt: FDA and NON-FDA files.

Developed programs for generating Tables, Listings and Graphs.

Completed data analysis and listing in a timely manner with team collaboration.

Involved in validation of data and QC of tables, listings and analysis datasets.

Created Data Definition Documents (DDD) and converted xpt files for FDA submission.

Extensively used functions like numeric, character, date and statistical functions for normalizing the

and analyzing data sets.

Maintained QC tracking sheet to track the progress of the project and team responsibilities in timely

manner.

Experience in both production and/or QC programming of SDTM datasets, analysis datasets,

tables, listings and figures, for multiple clinical trials

Created G-Chart graphs for categorical and continuous variables using patters, symbols, cutline,

explode and Interpol options. Used Interpol to generate a cubic regression with 90% confidence of

data.

Environment:

SAS/BASE, SAS/STAT, SAS/SQL, SAS/GRAPH, SAS/MACROS, SAS/ODS, MS Excel

Tortoise SVN, SAS Viewer, SAS/Universal tool, SAS /LOG Checker, Open CDISC-validator tool and

Spotfire.

Center for Population Development Services (India)

Quality Analyst 7/2010 / 10/2013

Center for Population Development Services is population survey program conducted by government of

India is large scale, multi-round survey conducted in a representative of households through various

agencies and data collected is used for development and implementing government schemes.

Involved in acquiring data from various data bases and normalized data according to the given

template.

Worked on sample size data from questioners for developing reports.

Normalized data collected from different centers for continues data flow.

Checked for missing data, if any data missing imputed various data correction methods to get the

desired data.

Involved in quality Control of data by validating and normalizing data.

Conducted edit checks in data for accuracy.

Created reports and submitted final data into required format.

Certifications:

SAS Certified Base Programmer

Education:

Masters in Arts and Literature from Andhra University, Visakhapatnam.

Bachelor’s in sciences from Andhra University, Visakhapatnam.s and submitted final data into required format.

Certifications:

SAS Certified Base Programmer

Education:

Masters in Arts and Literature from Andhra University, Visakhapatnam.

Bachelor’s in sciences from Andhra University, Visakhapatnam.

Contact this candidate