Data Analyst

SAS programmer/Analyst with * years (professional and academic) of programming, statistical analysis and reporting experience in various SAS tools emphasizing on analysis, development, testing and implementation of various projects on Windows(PC)

Hands on experience of analyzing health care data using BASE SAS, SAS MACROS, SAS/STAT, SAS/ACCESS, SAS/GRAPH.

SAS experience includes detailed knowledge of all phases of clinical trials, define, analyze, design, development and implementation of statistical data models, writing macros.

Creating SAS datasets from various sources like Oracle database, Access database, Excel, and flat files using Import techniques.

Generated reports using PROC REPORT, DATA _NULL_ and PROC TABULATE for customized report writing.

Experience with PROC SQL, PROC DATASETS, PROC FORMAT, PROC PRINT, PROC APPEND, PROC TABULATE, PROC GPLOT, PROC GCHART, PROC COMPARE, PROC IMPORT, PROC EXPORT, PROC TRANSPOSE, SAS/STAT procedures such as PROC FREQ, PROC MEANS,PROC REG, PROC ANOVA,PROC CORR,PROC GLM.

Used ODS to display outputs in HTML, CSV or other file formats.

Good understanding of Clinical Trial Phases, clinical protocols/ CRF’s/Annotated CRF’s, ICH and GCP guidelines, NDA, IND, MedDRA, 21 CFR PART 11. Familiar with Electronic submission guidelines to FDA.

Knowledge of Clinical Data Interchange Standards Consortium (CDISC) relating to data standards including Study Data Tabulation Model (SDTM), Analysis Dataset Models (ADaM) and Case Report Tabulation Data Definition Specification (Define.xml).

Education

Master of Science in Biomedical Informatics May 2016

Arizona State University, Tempe, Arizona GPA: 3.6/4.0

Bachelor of Health Sciences, Sep 2010

NTR University of Health Sciences, India GPA: 3.6/4.0

Certification

SAS Certified Base Programmer V9 from SAS Institute, Certificate No: BP056480v9

Projects

Data Analyst, Company: Jewish Family, and Child Services and ASU Dec 2014 – Dec 2015

Involved in data collection and cleaning of the data

Involved in developing SAS data sets from raw data files.

Applied statistical procedures like ANOVA, Chi-Square tests, Correlation, Descriptive Statistics to the SAS data sets. Used qualitative methods to analyze focus group results.

Created reports in PDF, Excel and HTML formats using ODS statements.

Created Summary tables using procedures like PROC TRANSPOSE, SORT, FREQ, MEANS, SUMMARY, UNIVARIATE, AND TABULATE.

Developed mock interfaces of the tool using JustInMind.

Responsible for co-ordinate with business for end to end requirements gathering.

Environment: SAS 9.4, CAT.

Research Intern, Company: EpiFinder Inc, SkySong, Scottsdale, AZ Dec 2014 – May 2015

Worked as a liaison between business and technical teams to interpret and translate requirements for a web application that aids physicians to diagnose Epilepsy.

Investigated on various Machine Learning methodologies to develop a knowledge base for company’s proprietary algorithm.

Mined data from 200 research papers in unstructured format, preprocessed, labelled and classified using Python achieving an accuracy of 56%

Re-engineered the algorithm to improve diagnosis results by 20%.

Data scientist, Company: Arizona State University Dec 2014 – Dec 2015

Selected and recommend appropriate statistical strategies and techniques to healthcare data,using various classification techniques like Decision Trees, Random Forests, J48, Naïve Bayes etc

Evaluated each model based on the error rates.

Applied the best model to the test data to predict using various classification techniques.

Environment: Weka

Software engineer/ Data Analyst, Company: Mayo Clinic Jan 2015 – Dec 2015

Involved in Analysis, design, development and phases of project (to build an immunization registry).

Requirements elicitation by being involved in various stakeholder meetings.

Involved in design, analysis, and architectural meetings. Created Architecture Diagrams, and Flow Charts.

Followed agile model software development practice.

Generate software specification document (SRS) for the project with use case diagrams, class diagrams, and architecture diagrams.

Created databases using SQL Workbench by creating ER Diagrams and creating relational schemas. Performing queries to test the databases

Environment: MySQL, Visio

Informatician, Company: ASU, Mayo Clinic, Scottsdale, AZ Jan 2015-May 2015

Used Bayes Theorem principles to develop a tool that calculates posterior test probabilities of various diagnostic tests available for various diseases and provides decision support to the physician to order the best test for the disease.

Involved in Analysis, design, development phases of project.

Involved in Literature search, design, analysis, and architectural meetings.

Developed ontologies to model the data models using Protégé.

Responsible for usability evaluation of the tool

Worked on tools like Protege, D3 visualization.

Environment: Python, MySQL, HTML, CSS,Visio.

Research Intern, India Jan 2012 –December 2012

Responsibilities:

Reading and understanding the study annotated Case Report Forms, Study Definition documents, software tools and working with SAS

Worked closely with programmer to gain experience in providing SAS programming support during the conduct and reporting phases of a clinical trial

Assisted in the production of tables, listings and figures (TLFs) using macros, standard templates and custom SAS code and involved in the quality control of the TLFs and documenting the outcome of the testing according to the SOP

Read and understood assigned documents, completed intern training and attended meetings as required. Became familiar with the methods of gathering clinical trial data.

Importing and exporting raw data files, manipulate and transform data, combine SAS data sets, create basic detail and summary reports using SAS procedures and handling errors by identifying and correcting data, syntax and programming logic errors.

Worked on different kinds of data, including demography, race, adverse event, vital signs, ECG, concomitant medications, and laboratory data.

Used procedures like FREQ, MEANS, UNIVARIATE, SORT, PRINT, TABULATE and REPORT.

Extensively used the SET, Update and Merge statements for creating, updating and merging various SAS datasets.

Environment: SAS/Base, SAS/MACROS, SAS/STAT, SAS/GRAPH, SAS SQL, SAS ODS.

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