For the given job description <<Reviews, analyzes, and evaluates business systems and user needs. Formulates systems to parallel overall business strategies. Experienced with business process reengineering and identifying new applications of technology to business problems to make business more effective. Familiar with industry standard business process mapping, and reengineering. Prepares solution options, risk identification, and financial analyses such as costbenefit, ROI, buybuild, etc. Writes detailed description of user needs, program functions, and steps required to develop or modify computer programs.  This position will work on the Grants Management application. This position will perform the duties of a Business Analyst including requirement gathering, analysis of requirements, development of requirements and design for required system modifications, completing business requirement documents, user stories, and business area collaboration andor coordination. Will also work with technical teams to coordinate demos, UAT, code releases, and user communication as necessary. Must have experience working in an Agile environment. Some on-call support may be required depending on the project phase. II. CANDIDATE SKILLS AND QUALIFICATIONS Minimum Requirements:Candidates that do not meet or exceed the minimum stated requirements (skillsexperience) will be displayed to customers but may not be chosen for this opportunity.YearsRequiredPreferredExperience8RequiredBusiness Analyst Experience8RequiredSQL Experience8RequiredSystem Reporting (Oracle, SQL)8RequiredSystems Testing (Unit, Integration, UAT)8RequiredExcellent communication skills (verbal and in writing)4PreferredAgile Software Development Methodologies Experience2PreferredProject andor Product Management experience1PreferredExperience with Jira III. TERMS OF SERVICE Services are expected to start 10022023 and are expected to complete by 08312024. Total estimated hours per Candidate shall not exceed 1850 hours. This service may be amended, renewed, andor extended providing both parties agree to do so in writing. IV. WORK HOURS AND LOCATION Services shall be provided during normal business hours unless otherwise coordinated through the Texas Health and Human Services Commission. Normal business hours are Monday through Friday from 8:00 AM to 5:00 PM, excluding State holidays when the agency is closed.
The primary work location(s) will be at 701 W 51st St Austin, TX 78751. Any and all travel, per diem, parking, andor living expenses shall be at the Candidate's andor Vendor's expense. Texas Health and Human Services Commission will provide pre-approved, written authorization for travel for any services to be performed away from the primary work location(s). Pre-approved travel expenses are limited to the rates and comply with the rules prescribed by the State of Texas for travel by its classified employees, including any requirement for original receipts.
The Candidate(s) may be required to work outside the normal business hours on weekends, evenings and holidays, as requested. Payment for work over 40 hours will be at the hourly rate quoted and must be coordinated and pre-approved through Texas Health and Human Services Commission. V. OTHER SPECIAL REQUIREMENTS Remote work Mon - FriLocation: within the state of TexasInterviews will be conducted through Microsoft Teams>> 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, Good Fit

Fit assessment: Good Fit