For the given job description <<Our client is looking for experienced professional with a strong background in healthcare, including Pharmacy Benefit Manager (PBM) expertise. Proficient in SQL for data management and analysis. Skilled in working with messaging and event-based systems, facilitating seamless communication. Knowledgeable in optimizing prescription drug programs and navigating the complexities of healthcare dynamics for enhanced patient outcomes.
QualificationsBachelor's degree or equivalent experience10+ years of progressive experience in requirements gathering and management using both Waterfall and Agile SDLC methodologies.Extensive Healthcare experience is mandatoryPBM (Pharmacy Benefit Management) experience is mandatory Process development and implementation experience.Proficient in using SQL, Visio and Office Suite, including Word, Excel, and PowerPoint.Experience working with messaging or event-based systems
ResponsibilitiesAssists andor leads in requirements management practices and principles.Participates andor provides product ownership.Creates business requirement documents, user stories, use cases, and supporting diagrams including sequence diagrams as needed.Contributes to the planning process with the Scrum Master andor project manager to plan activities including requirements gatheringrefinement, design reviews, SOPwork instruction development, training, and go-live.>> the resume: <<Professional OverviewFive years of hands-on experience in design, develop, implement and manage statistical models to perform predictive analysis on spectroscopy sensors data using R, Python, MatLab and Excel. Extensive experience in Microsoft SQL Server Business Intelligence (BI) with Microsoft SQL Server 2012/2008, SQL Server Integration Services (SSIS) and SQL Server Reporting Services (SSRS). Very good experience in areas such as information retrieval, data analytics and information visualization. Expertise in performing Descriptive, Exploratory, Inferential, Prediction and Casual analysis. Hands-on experience in the design and development of laser-based optical sensors. Experience in handling quantitative and qualitative analytical software including Unscrambler and Origin. Strong knowledge of relational databases for data storage. Expertise in using SQL for data extraction and management (MSSQL). Excellent verbal/written communication skills as shown by several publications, reporting results, and winning young professional award at SPE-2011 conference. Highly self-motivated, detail oriented, critical thinker, problem-solver, excellent team worker who is well composed under pressure and able to meet deadlines.
Core QualificationsDatabasesMS SQL Server 2012/2008, MS-AccessSQL Server ToolsBusiness Intelligence Development Studio, Enterprise Manager, Query Analyzer, Export & Import (DTS), SQL ProfilerLanguagesT-SQL, R, Python, MATLAB, VB.NET, C#Other ToolsMicrosoft Office, MS Visual Studio 2010/2008, Build Forge, StarTeam, Origin, LabView, UnScrambler
EducationExpected inNovember 2003totoBS:Physics, Mathematics, ChemistryOsmania University-,GPA:Physics, Mathematics, ChemistryExpected inMay 2014totoPhD:Applied PhysicsMississippi State University-,MSGPA:Applied PhysicsExpected inMay 2006totoMS:PhysicsBanaras Hindu University-,GPA:Physics
Experience10/2014toCurrentSQL Data Analyst–,GA,Identifying data discrepancies and data quality issues and working to ensure data consistency and integrity.Creating several complex stored procedures, views and functions from scratch to extract the data from multiple source tables depending on the AsOfDate.Creating SSIS packages to load data into destination from source, with error logging and exception handling.Designing and developing SSIS packages and data mapping using Control flow task, Sequence container task, Dataflow Task, Execute SQL Task, Data conversion task, Derived Column task and Script Task in SSIS.Successfully deployed database objects and SSIS packages from development server to production server.Maintaining and scheduling jobs through Tivoli WorkSpace/SQL Server Agent.Utilizing Reporting Services (SSRS) to generate reports to present the data and deploying the generated reports on reporting server.01/2009to05/2014Graduate Research AssistantCaci International Inc.–,IN,Quantitative Analysis of strontium (Sr) in aluminum (al) batch Designed and developed optical setup for recording atomic and molecular emissions from laser-induced breakdown spectroscopy (LIBS) plasma.Determined optimum conditions to record data from LIBS plasma.Established statistical models to quantify Sr by applying simple linear regression methodologies.Predictions from developed statistical models confirmed that molecular bands can be used to quantify Sr.Comparison of Statistical Models for quantification of slurry samples Discovered new sampling method called "spin-on-glass" to improve measurement precision and accuracy of LIBS.Setup experiments for developing optimum conditions to produce reproducible LIBS data.Performed Simple, Multiple and Principal Linear Regression analysis on spectral data to develop Predictive models.Achieved high accuracy in predicting the concentration of elements in unknown sample using Principal Linear Regression based model.02/2011to12/2011Post-Graduate Researcher–,STATE,Impurity determination in plastic calibration standards Designed and constructed laser-based optical system to conduct qualitative and quantitative analysis on plastic samples.Developed a template in Excel to identify the impurities present in plastic samples using LIBS data.Established regression predictive models along with normalization technique to quantify impurities in plastic samples using LIBS data.Successfully predicted the concentration of impurities in plastic samples using Multiple Linear Regression based model with RSD less than 8%.Laser-based optical analyzer development for CO2 leak detection in carbon sequestration process Setup experiments to simulate higher carbon concentrations within the soil samples.Designed, developed and tested LIBS experimental setup for measurement of total carbon (C) concentration in soil samples.Applied intensity ratio method to spectral data for elimination of spectral interference from iron (Fe) analyte line.Developed linear regression based calibration models to predict the concentration of C in an unknown sample with 95% relative accuracy.
SkillsVB.NET, Business Intelligence, C, calibration, Data conversion, DTS, Databases, database, Designing, experiments, LabView, Laser, logging, MATLAB, MS-Access, C#, Excel, Microsoft Office, Enterprise, predict, Python, quality, Quantitative Analysis, recording, reporting, scheduling, Script, MS SQL Server, SQL, SQL Server, tables, Tivoli, T-SQL, MS Visual Studio>>. The result is, 

Fit assessment: Potential Fit