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Data Analyst Application

Location:
Buffalo Grove, IL
Salary:
minimum of $80,000
Posted:
April 21, 2023

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Resume:

Sheeba Jayakrishna

503-***-**** adwoaj@r.postjobfree.com linkedin.com/in/sheebajayakrishna/

Profile

Accomplished, analytical, and detail-oriented professional equipped with experience in business system analysis, application maintenance and testing, requirement gathering, data modeling and business intelligence, prepared to tackle and excel in a challenging Business Data Analyst role, complemented with an extensive work experience of around 9 years in the IT Industry.

Demonstrated expertise in application maintenance, data analysis, implementation, regression testing, functional testing, system testing, and business analysis. Worked on various modules of EPIC and Cerner Millennium solutions. Adept in leveraging cross-functional teams for application/solution development with a right balance of healthcare domain knowledge and technology exposure. Proven capacity to turn data into actionable insights by leveraging advanced analytics, writing SQL queries, analyzing data patterns, preparing user documentation, developing, and validating test cases, and identifying KPIs. Sound understanding and knowledge of R, Data Warehousing, Healthcare / Hospital Workflows and HL7. Experience in managing multiple projects by mitigating risks, negotiating scope, prioritizing objectives, and proposing multiple solutions in Agile environment. Responsible for exploring requirements, capturing them in User Story format and prototype design for futuristic solutions. Strong time management and communication skills with ability to prioritize and organize work requests and liaise with relevant stakeholders. Areas of Expertise

• Business system analysis

and design

• Analytical and Critical

thinking

• Data Collection & Modeling

• Business Intelligence

• Testing & Visualization

• Process & Performance

Improvement

• Statistical Model Development

• Diligent at Time

Management

• Communication and

Interpersonal skills

• Stakeholders

Engagement

Education & Credentials

Master of Science in Health Informatics DePaul University, Chicago, Illinois Current GPA: 3.954 Member of DePaul University's Honor Society of Upsilon Pi Epsilon (UPE) Working as a Grader at my university on the 'Data Analytics and Statistics' course. Bachelor of Engineering Visvesvaraya Technological University, Belgaum, India Professional Certifications

Epic Systems: Epic Resolute Professional Billing Epic Bridges Interfaces Technical Proficiencies

Programming Languages: SQL, R

Visualization: Tableau

Statistical Techniques: Supervised Learning (Linear & Logistic Regression), Statistical Hypothesis Testing, ANOVA Analysis, Residual Analysis, Principal Component Analysis, Factor Analysis, Lasso and Logistic Regression.

Career Experience

Business Data Analyst

AdvanSoft International, Inc. Feb 2023 – Present

• Map data between source systems, data warehouses, and data marts.

• Develop and implement data extraction procedures from other systems, such as administration, billing, or claims.

• Gathering Requirements to analyze data and to maintain data standards.

• Develop or maintain standards, such as organization, structure, or nomenclature, for the design of data warehouse elements, such as data architectures, models, tools, and databases. Clinical Data Analyst Project # 1 PCORnet CDM Project Sep 2022 – Dec 2022 Organization: Rush University Medical Center

Analyzing Data requirements, quality improvement and worked on the business data analysis needs of Rush University Medical Center by leveraging data collected from Electronic Medical Records (EMR) to measure and predict patient outcomes using software tools and research data sources to develop queries, reports, and visualizations.

• Participating in sprint calls to discuss regular project updates.

• Gathering requirement for monthly and quarterly refresh of the patient data coming from PCORnet Common Data Model to OMOP Data Model.

• Responsible for collecting, managing, cleaning, and organizing large amounts of healthcare data and ensuring that data is accurate, complete, and meets regulatory standards while maintaining regulatory requirements such as HIPAA to protect patient data.

• Responsible for Data management including data extraction, transformation, and loading (ETL), data cleaning, and data warehousing.

• Working on data visualization techniques to create dashboards and reports.

• Working on SQL Server Management Studio (SSMS) for managing the SQL infrastructure, to access, configure, manage, administer, and develop all components of SQL Server.

• Developing and executing SQL queries to check the quality of the data and for ETL process in order to transform new patient data in the required standardized CDM.

• Working on the defect management cycle and preparing test documents, user documentation, developing, executing test cases.

• Identify gaps or conflicts in requirements, handle risks and defects to drive towards resolution. Application Analyst - Epic, Project # 2 Epic Post-Implementation Project Feb 2012 – Aug 2016 Client: Kaiser Permanente

Organization: Accenture

Analyzed data and removed errors generated during information exchange between Epic and an external system

(Cerner). Adhered to client’s requirements, while creating Work Orders and Change Request for the remediation tasks using Remedy tool. PB and HB- Facility Clock Validation. Work queue deactivation based on client requests.

● Proficient in capturing requirements (functional / non-functional), documenting using BRDs/FRDs/FSDs, and Use cases to maintain consistent, traceable, and non-ambiguous requirements.

● Worked on interpreting HL7 messages coming in from one HIS(Cerner) to another (Epic), while working on the Epic Bridges module to rectify errors, doing root cause analysis, rectifying, and resubmitting the messages.

● Adept at creating business user specifications and work with the IT team on technical specifications.

● Business Process and Gap Analysis via process/data-flow diagrams to create As-Is and To-Be processes using tools Adept in leveraging cross functional teams for application/solution development with a right balance of healthcare domain knowledge and technology exposure such as MS Visio.

● Participate in end-to-end implementation planning including project management, issue management, communication and change management.

● Reduced customer churn as well as minimized problem diagnosis and resolution time by preparing error log reports as per client’s requirement.

● Streamlined billing, claims, and collections through resolute billing builds, such as Cash Drawer, Corporate Accounts, Payor-Plan builds and Fee Schedule builds.

● Recognized by the client on multiple occasions for displaying exceptional results. EMR Application Analyst, Project # 3 Cerner PathNet Post-Implementation Testing Dec 2009 – Feb 2012 Client: Kaiser Permanente

Organization: DXC Technologies

Managed and tracked functional, performance, and security test scripts by documenting issues and defects in Quality Center. Resolved open issues or defects through collaboration with team members, test leads, and clients. Ensured to cover each and every functionality mentioned in software requirement specification by conducting peer review of test runs and defects.

● Ensured good test coverage and improved user experience through development and execution of test cases based on the project test plan and testing matrix.

● Developed insight into general laboratory workflows of Cerner Millennium and trained multiple new joiners on the module.

● Conversant with the Defect Management Process, Tracking & Bug Reporting with a comprehensive understanding of the processes and troubleshooting issues.

● Develop future solution strategies by working closely with business and IT team. Test Analyst, Project # 4 City University of New York (CUNY) Sep 2007 – Jul 2009 Client: City University of New York (CUNY)

Organization: Oracle Corporation

Evaluated the performance of each test performed through effective documentation. Ensured efficacy and accuracy of data through utilization of reliable data resources and automated/computerized programs. Quality Assurance Testing.

● Streamlined routine workflow by conducting manual tests for 20+ scripts every day.

● Ensured smooth auditing by assisting in Data Element Manipulation, allowing data to be organized and easier to read.



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