TANKA P. ACHARYA

Phone: 319-***-**** Email:

acgl06@r.postjobfree.com

SUMMARY:

. Over 8 years of experience as a SAS programmer in Clinical Research.

. Experience with developing Macros, applications for data cleaning,

reporting and involved in preparing the documentation.

. Experience in design, development and validating applications.

. Used SAS programming to analyze Clinical Trial Data, generate tables,

listings and graphs.

. Used SAS for pre-processing data, data analysis, and statistical

modeling and analysis.

. Create, test and validate programs that generate data summaries and

data listings for reports using statistical packages.

. Create, test and validate Macros that perform statistical analyses.

. Familiar with CIDISC, ADaM/STDM.

. Worked in a biostatistical group to come up with an appropriate method

of experimental design and method of analysis.

. Written codes for different type of statical analysis for

Longitudianl and cross-sectional analysis.

. Worked as a statistical consultant and helped graduate students in

making decision about the design of their experiment and choosing

appropriate analysis.

. Helped students to select appropriate SAS procedure for their research

and analysis.

. Worked with different levels of medical professionals such as doctors,

professors in medicine, and medical research scientists.

. Communicated and worked with people at different levels of management.

. Very good team player with strong analytical and communication skills.

. Demonstrated experience in programming components like SAS/BASE,

SAS/MACROS, SAS/ODS, SAS/STAT, SAS/GRAPH, SAS/SQL, SAS/ACCESS.

. Excellent command in producing reports employing various SAS

procedures, like Proc Print, Proc Insight, Proc Report, Proc Summary,

Proc Freq, Proc Tabulate, Proc Means, Proc Sort, Proc Univariate, Proc

Transpose, Proc SQL, Proc Connect and the _NULL_ data step.

. Utilized specialized Statistical and Graphical SAS procedures like

Proc Sgplot, Proc Surveyselect, Proc Logistic, Proc Probit, Proc

Discrim, Proc Cluster, Proc Tree, Proc Factor, Proc Princom, Proc

Npar1way, Proc Catmod, Proc Multtest, Proc Nlin, Proc Nlmixed, Proc

Genmod, Proc Plan, Proc Reg, Proc Corr, Proc Ttest, Proc Anova, Proc

GLM, Proc Mixed, Proc Iml, proc Phreg, proc Lifetest, Proc Boxplot,

Proc Gplot, Proc Gchart etc.

. Command in inputting complex internal data sets, using import/export

wizard, PROC IMPORT and PROC EXPORT, SAS/ACCESS, SAS/SQL to import

different types of external data files (csv, xls, txt, mdb, jmp, etc)

into SAS library and export SAS datasets into different types of

external data files.

. Experienced in SAS/Data steps such as reading different structures of

data using different types of input statement and format/informat,

data combining and updating using merge, update, set statements, and

IN data set option, Proc append.

. Generated output files in RTF, HTML, and PDF format using SAS ODS.

. Extensive experience in Data Entry Applications, Data Validation, Data

Management, Analysis and Reporting.

. Experienced in STATA to produce nicer graphics such as different kinds

of box plots, and scatter plots.

EDUCATION:

M.S. Statistics, Auburn University, Alabama, USA

M.S. Biometrics, Auburn University, Alabama, USA

Technical Skills:

Statistical Software SAS v7/8/9, SAS/ODS, SAS/BASE, SAS/MACROS, SAS/STAT,

SAS/GRAPH, SAS/ACCESS, SAS/CONNECT, SAS/SQL, STATA, R, S-

plus, Stat Transfer, Minitab, SPSS.

Operating System Windows 95/98/2007, Windows XP, Windows Vista, Windows NT,

Unix.

Language SAS, STATA, R, S-plus

Database MS Access

Office Tools MS-OFFICE 2003 and 2007, Word, Excel, MS ACCESS

PROFESSIONAL EXPERIENCE

Clinical Trials and Data Management Center

Feb'14- Present

Department of Biostatics

University of Iowa, Iowa City, IA

SAS Programmer/Biostatistician

Responsibilities:

. Running clinical trials into treatments that may slow down progression

of the disease.

. Running analyses to determine the best measures of disease

progression.

. SAS Programming to perform data manipulation (using MERGE, UPDATE,

SET, SORT, etc.) and Statistical Analysis and test performance.

. Used Proc Surveyselect to select the samples from the target

population (sample frame)

. Involved in data manipulation, analysis and preparing reports for

publication related to different disease.

. Involved in writing macro in SAS to produce tables and reports.

. SAS Programming was used intensively to analyze the data and produce

reports.

. The SAS tools frequently use are SAS/ODS, SAS/BASE, SAS/MACROS,

SAS/STAT, SAS/GRAPH, SAS/ACCESS, SAS/SQL.

. Data combining and updating using merge, update, set statements, and

IN data set option, and Proc append.

. The SAS procedure frequently used are Proc mixed, Proc Compare, Proc

Print, Proc Insight, Proc Report, Proc Summary, Proc Freq, Proc

Tabulate, Proc Means, Proc Sort, Proc Univariate, Proc Transpose, Proc

Rank, Proc SQL, Proc Surveyselect, Proc Logistic, Proc Probit, Proc

Discrim, Proc Cluster, Proc Tree, Proc Factor, Proc Princom, Proc

Npar1way, Proc Catmod, Proc Multtest, Proc Nlin, Proc Nlmixed, Proc

Genmod, Proc Plan, Proc Reg, Proc Corr, Proc Ttest, Proc Anova, Proc

GLM, Proc Mixed, Proc Iml, Proc Phreg, proc Lifetest, Proc Boxplot,

Proc Gplot, Proc Gchart, Proc Export/Import.

. Involved in different kinds of clinical trial research projects (SMA)

in the design of experiments, and different kinds of statistical

analysis using SAS.

. The range of analysis include Multiple Regression analysis (Linear and

Non linear, Logistic), Analysis of variance for completely randomized

design, randomized block design, factorial design, repeated measure

design, latinsquare design, graeco design, cross over design,

incomplete block design, nested design and split plot design, analysis

of covariance, Survival analysis and others.

Environment: SAS v8.2 v9.1.3 SAS/BASE, SAS GRAPH, Windows XP, Windows Vista

Windows NT.

Huntington's Disease Clinical Research Project

Jan'09- Jan'14

Carver College of Medicine

University of Iowa, Iowa City, IA

SAS Programmer/Biostatistician

Responsibilities:

. Running clinical trials into treatments that may slow down progression

of the disease.

. Running analyses to determine the best measures of disease

progression.

. SAS Programming to perform data manipulation (using MERGE, UPDATE,

SET, SORT, etc.) and Statistical Analysis and test performance.

. Used Proc Surveyselect to select the samples from the target

population (sample frame)

. Involved in data manipulation, analysis and preparing reports for

publication related to Huntington's disease.

. Involved in writing a complex macro in SAS to bootstrap effect sizes

and their confidence interval for skewed distributions.

. SAS Programming was used intensively to analyze the data and produce

reports.

. The SAS tools frequently use are SAS/ODS, SAS/BASE, SAS/MACROS,

SAS/STAT, SAS/GRAPH, SAS/ACCESS, SAS/SQL.

. Data combining and updating using merge, update, set statements, and

IN data set option, and Proc append.

. The SAS procedure frequently used are Proc mixed, Proc Compare, Proc

Print, Proc Insight, Proc Report, Proc Summary, Proc Freq, Proc

Tabulate, Proc Means, Proc Sort, Proc Univariate, Proc Transpose, Proc

Rank, Proc SQL, Proc Surveyselect, Proc Logistic, Proc Probit, Proc

Discrim, Proc Cluster, Proc Tree, Proc Factor, Proc Princom, Proc

Npar1way, Proc Catmod, Proc Multtest, Proc Nlin, Proc Nlmixed, Proc

Genmod, Proc Plan, Proc Reg, Proc Corr, Proc Ttest, Proc Anova, Proc

GLM, Proc Mixed, Proc Iml, Proc Phreg, proc Lifetest, Proc Boxplot,

Proc Gplot, Proc Gchart, Proc Export/Import.

. Involved in different kinds of clinical trial research projects

(Huntington's Disease) in the design of experiments, and different

kinds of statistical analysis using SAS.

. The range of analysis include Multiple Regression analysis (Linear and

Non linear, Logistic), Analysis of variance for completely randomized

design, randomized block design, factorial design, repeated measure

design, latinsquare design, graeco design, cross over design,

incomplete block design, nested design and split plot design, analysis

of covariance, Survival analysis and others.

Environment: SAS v8.2 v9.1.3 SAS/BASE, SAS GRAPH, Windows XP, Windows Vista

Windows NT.

Involved in the publication of following papers:

2010 Tapping linked to function and structure in premanifest and

symptomatic

Huntington disease. A paper published in NEUROLOGY.

2010 Early atrophy of pallidum and accumbens nucleus in Huntington's

disease.

A paper published in Journal of NEUROLOGY.

Auburn University, Auburn, AL

Jan '07 - Dec '08

SAS Instructor/Statistical Consultant

Auburn University is an academic and research Institution.

Responsibilities:

. Training graduate level students in the use of SAS statistical

software.

. Taught SAS programming and statistics courses to the students.

. Corrected students mistakes and solved problem in SAS programs.

. Programmed in SAS to perform data manipulation (using MERGE, UPDATE,

SET, SORT, etc.) and statistical analysis and test performance.

. Wrote macros to run simulation for the validation of the models.

. Used Proc Surveyselect to select the samples from the target

population (sample frame)

. Wrote macros to run multiple simulation steps.

. Involved in research and preparing reports for publication.

. SAS Programming was used intensively to analyze the data and produce

reports.

. The SAS tools frequently use are SAS/ODS, SAS/BASE, SAS/MACROS,

SAS/STAT, SAS/GRAPH, SAS/ACCESS, SAS/SQL.

. Data combining and updating using merge, update, set statements, and

IN data set option, and Proc append.

. The SAS procedure frequently used are Proc Print, Proc Insight, Proc

Report, Proc Summary, Proc Freq, Proc Tabulate, Proc Means, Proc Sort,

Proc Univariate, Proc Transpose, Proc Rank, Proc SQL, Proc

Surveyselect, Proc Logistic, Proc Probit, Proc Discrim, Proc Cluster,

Proc Tree, Proc Factor, Proc Princom, Proc Npar1way, Proc Catmod, Proc

Multtest, Proc Nlin, Proc Nlmixed, Proc Genmod, Proc Plan, Proc Reg,

Proc Corr, Proc Ttest, Proc Anova, Proc GLM, Proc Mixed, Proc Iml,

Proc Phreg, proc Lifetest, Proc Boxplot, Proc Gplot, Proc Gchart, Proc

Export/Import.

. Involved in different kinds of research projects with graduate

students in the design of experiments, and different kinds of

statistical analysis using SAS.

. The range of analysis include multivariate data analysis (Principal

component analysis, Discriminant analysis, Cluster analysis, Factor

analysis), Multiple Regression analysis (Linear and Non linear,

Logistic), Analysis of variance for completely randomized design,

randomized block design, factorial design, repeated measure design,

latinsquare design, graeco design, cross over design, incomplete block

design, nested design and split plot design, analysis of covariance,

Survival analysis and others.

Environment: SAS v8.2 v9.1.3 SAS/BASE, SAS GRAPH, UNIX, Windows XP, Windows

Vista Windows NT.

Axcan Pharma Inc. Birmingham, AL

Jan '06 - Dec '06

SAS Programmer/Analyst

Axcan Pharma specifically dealing in the research of the drugs related to

gastrointestinal diseases and related disorders. The company markets their

drugs in North America and Europe.

Responsibilities:

. Worked on statistical analysis to assist in efficacy and safety

study's results.

. Used SAS/GRAPH to present data analysis-using PROC (GPLOT, GCHART

etc.)

. Worked on writing, editing, validating and debugging code in BASE SAS

and MACROS.

. Extensively used PROC REPORT for detailed reports.

. Used DATA NULL to produce outputs for reports.

. Worked on SAS/STAT to present results in BAR charts, PIE charts and

SCATTER plots.

. Created and maintained adequate validation of existing programs.

. Used various procedures such as PROC (PRINT, TABULATE, REPORT,

SUMMARY, etc.)

. Worked in multidisciplinary teams closely with statisticians, medical

professionals and data managers.

. Performed various ad-hoc analyses as per user's guidelines and

requests.

Environment: SAS V8, SAS/BASE, SAS ODS, SAS GRAPH, UNIX, Windows XP,

Windows NT.

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