Data Design
Resume:
TANKA P. ACHARYA
Phone: 319-***-**** Email:
**************@*****.***
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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