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Senior Qa Analyst Resume

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San Jose, CA

SUMMARY

  • Having 14+ years of experience in IT and as a Data Scientist with 6+ years of experience in building data intensive applications, overcoming architectural and scalability issues.
  • Proficient in predictive, modeling, data processing and data mining algorithms as well as scripting languages.
  • Capable of creating, developing, testing, and deploying highly adaptive diverse services to translate business and functional qualifications into substantial deliverables.
  • Problem solver with analytical and great communication skills.
  • Desirous of a Data Scientist position to leverage on solid computer science background and having exceptional programming, statistical analysis, and research abilities to extract, clean, and prepare data for data science model ingestion.
  • Experience in Using statistical tools to interpret data sets, paying particular attention to trends and patterns that could be valuable for diagnostic and predictive analytics efforts.
  • Having experience in Designing and maintaining data systems and databases; this includes fixing coding errors and other data - related problems.
  • Experience with Mining data from primary and secondary sources, then reorganizing said data in a format that can be easily read by either human or machine.
  • Analyzing data using statistical techniques and providing reports
  • Demonstrating the significance of their work in the context of local, national, and global trends that impact both their organization and industry.
  • Preparing reports for executive leadership that effectively communicate trends, patterns, and predictions using relevant data.
  • Experience in information retrieval algorithms
  • Developing and implementing databases and data collection systems
  • Acquiring data from primary and secondary sources and maintain data systems
  • Combine models through ensemble modeling
  • Identifying, analyzing, and interpreting trends or patterns in complex data sets
  • Experience with Performing exploratory and explanatory analysis
  • Undertake preprocessing of structured and unstructured data
  • Analyze large amounts of information to discover trends and patterns
  • Build predictive models and machine-learning algorithms
  • Combine models through ensemble modeling
  • Present information using data visualization techniques
  • Propose solutions and strategies to business challenges
  • Design and execute Hypothesis, A/B test and other experiments
  • Identify valuable data sources and automate collection processes
  • Undertake preprocessing of structured and unstructured data
  • Analyze large amounts of information to discover trends and patterns
  • Build predictive models and machine-learning algorithms
  • Data camp certified Data Scientist Professional
  • Oracle PL/SQL Developer Certified associate (OCA)
  • Excellent communication and presentation skills, self-starter, quick learner, team player

TECHNICAL SKILLS

Languages: Python ( NumPy, Pandas, Scikit-learn ), PERL, Shell script, C, C++,SQL, PL/SQL, Java, UML,SED,AWK, VB.Net, BASH Scripting

Databases: Oracle, MS SQL, PostgreSQL

Data Visualization: Matplotlib, Excel, Google Sheets, Tableau, Power BI

Supervised Learning: Linear, Ridge, Lasso, Logistic, regressions, Decision trees, Bagging and Random Forests, Gradient Boosting, Stochastic Gradient Boosting, NLP

Unsupervised Learning: k-means clustering, Hierarchal clustering,, t-SNE, PCA Transformation, Non negative metric factorization NMF Natural Language processing, Time Series Analysis

Version Management Tool: GIT, Clear case

MS Tools: Excel, Outlook, PowerPoint, Word, Visio.

PROFESSIONAL EXPERIENCE

Confidential, NJ

Data Analyst/Data Scientist

Environment: Python, SQL, Bash scripting, Git, Tableau, Snow Flake, Airflow, MS excel, Matplotlib

Responsibilities:

  • Designing and maintaining data systems and databases; this includes fixing coding errors and other data-related problems.
  • Classification of the incoming enquiry email based on the body of the email prior to personnel review using natural language processing.
  • Using various clustering techniques in Python to identify groups of Jurisdictions states where our national underwriting models were underperforming
  • Involved in building marketing models to identify the risk analysis for the WC Payers.
  • Built a customer attrition random forest model that improved monthly retention by 10 basis points for customers who were likely to attrit.
  • Mining data from primary and secondary sources, then reorganizing said data in a format that can be easily read by either human or machine.
  • Partner with Decision Science, Data Engineering and marketing counterparts to develop requirements for future roadmap or product improvements
  • Using statistical tools to interpret data sets, paying particular attention to trends and patterns that could be valuable for diagnostic and predictive analytics efforts.
  • Design models to identify claims at Risks in different business units
  • Analyzing data using statistical techniques and providing reports
  • Acquiring data from primary and secondary sources and maintain data systems Identifying, analyzing, and interpreting trends or patterns in complex data sets
  • Performing exploratory and explanatory analysis
  • Filtering and cleaning data
  • Working with management to prioritize business and information needs
  • Use internal and external data and applications to derive insights to strategy and architecture deliverables that will drive strategic and tactical marketing business decisions
  • Demonstrating the significance of their work by creating trends that impact different business units
  • Preparing reports for executive leadership that effectively communicate trends, patterns, and predictions using relevant data.
  • Collaborating with programmers, engineers, and organizational leaders to identify opportunities for process improvements, recommend system modifications, and develop policies for data governance.
  • Creating appropriate documentation that allows stakeholders to understand the steps of the data analysis process and duplicate or replicate the analysis if necessary.
  • Collaborate with engineering and product development teams
  • Interacting with business users and Developers for successful delivery of the product throughout the delivery of the project
  • Display problem solving and analytical skills and will use them to resolve technical problems
  • Ensuring the appropriate levels of quality assurance have been met for all new and existing applications/change requests
  • Ensuring that all changes are fully documented
  • Prepare and send the Status Reports (Daily, Weekly etc.) to Client.

Confidential, NJ

IT Consultant

Environment: VB .Net, Oracle, SQL developer, Software Planner, Test complete, Soap UI, SQL Server, MS office, Microsoft project planner, VB scripting, EDF, Micro soft Biz talk server, Phoenix, Microsoft Visual Studio 2010, TFS, Coded UI,C#, Axosoft

Responsibilities:

  • Assess requirements and develop focused test cases and test procedures to validate acceptance criteria
  • Execute functional, regression, smoke and performance tests.
  • Applications are operated in VB.Net development and using various tools and languages as C#, Oracle, Soap UI, SQL developer, SQL server, TFS, Test complete, TFS, Software planner
  • Logs detailed and accurate defect reports and follows the defects through to resolution and closure.
  • Working on the complete life cycle of the application
  • Works with the project owners and Business Analysts to aggregate business requirements.
  • Creating automated test cases for API testing
  • Identify root-causes of defects, determine trends and recommend solutions to system issues
  • Interacting with business users and Developers for successful delivery of the product throughout the delivery of the project
  • Display problem solving and analytical skills and will use them to resolve technical problems
  • Ensuring the appropriate levels of quality assurance have been met for all new and existing applications/change requests
  • Ensuring the all changes are fully documented
  • Creation and execution of DML,DDL and JOIN Data base queries to perform Oracle Database testing
  • Performing Sanity testing whenever a new build is released on any of the EA applications
  • Creating PL/SQL blocks for procedure and functions
  • Tested web applications in Agile development processes
  • Working on Agile methodology for Phoenix Spreemo changes
  • End to End testing for DX Phoenix application
  • Attend the regular client calls and discuss the weekly status with the client on the progress of DX and ENT applications.
  • Prepare and send the Status Reports (Daily, Weekly etc.) to Client.

Confidential, San Jose, CA

Senior QA Analyst

Environment: Quick Test Professional, Quality Centre, UNIX, JAVA, XML, SOAP, API Testing, Manual Testing, Load Runner, SQL Server, VB Scripting, SQL, SLT, SLFEXT, Public Internal, TOAD,MS Office

Responsibilities:

  • Analyze requirements during the requirements analysis phase of projects.
  • Ensures traceability of test cases back to project requirements
  • Identifies test resources, estimates test effort and defines test schedule and milestones
  • Tested web applications in Agile development processes
  • Create Test Plan and Conduct walk-through of Test Plan
  • Authoring and Uploading the test cases to Quality centre
  • Conduct Test Readiness Assessment
  • Execute manual test cases and automated test scripts.
  • Executing SQL queries in order to view successful transactions of data and for validating data
  • Interacted almost on a daily basis with Business Analysts, Project Managers and often with customers/clients of the different project in Agile environment.
  • Oversees all testing staff and activities for all assigned application
  • Conducted Duration test, Stress test, Base Line test
  • Works with project team to define and create overall strategy and ensures that it is being achieved
  • Verify that new or upgraded applications meet specified performance requirements.
  • Ensures that all aspects of testing, such as manual execution, regression, automation, and Final package testing are completed to meet the time lines.
  • Developing macros in excel for project related activities
  • Provides weekly status report that includes testing metrics

Confidential

Senior QA Analyst

Environment: SGI (System Graphics Interface), SS (Super System), ICM CRM,SMP, SMP 4.0, SB, OE, UNIX, SQL Server, Java, XML, QTP, QC, Load Runner, PL/SQL Developer, VB Scripting, Bugzilla

Responsibilities:

  • Keep track of the new requirements from the Project and Forecast/Estimate the Project future requirements.
  • Worked in the System Test Plan Preparation and Requirements Streamlining.
  • Worked in Preparation of Test Procedures, Test Scenarios, Cases and Test Data.
  • Track and report upon testing activities, including testing results, test case coverage, required resources, defects discovered and their status, performance baselines, etc
  • Balance the workload in the testing team
  • Involved in Smoke, functional, usability, ad-hoc, and regression testing
  • Created QTP regression automation scripts.
  • Automating the RHPS application using QTP Keyword driven Automation framework model
  • Worked on activation and provisioning of cable modem boxes
  • Automated IBLC functionality using QTP 9.5

Confidential, Denver, CO

QA Analyst

Environment: Quality center, Caliber, PL/SQL developer, Sun Solaris, SQL Server, Windows NT/2000, Oracle, Quoting app, OE tool, JAVA, QTP,RTM, SOA, API Testing

Responsibilities:

  • Understanding the client requirements for testing the application
  • Analyzed the user requirements by interacting with developers and business analysts.
  • Created test requirements and traceability (forward and backward) to business and functional requirements
  • Created Estimates for estimating the time for automating the application
  • Created End-to-End scenarios and scenario variations for the components in the Quoting
  • Created Automation scripts in data driven Automation model using QTP for Qcentral
  • Created the Automation Test Plan.
  • Lead/assist in defining and documenting practices and standards for automated testing
  • Created Generic Functions in VB Script for both Windows and Web based applications
  • Created QTP Data Driven and Key Word driven models for POC.
  • Created QTP regression automation scripts.( Release-Scenarios-Test cases)

Confidential, Cambridge, MA

QA Analyst

Environment: HP-UX 10.2,Sun Solaris, Windows NT/2000,DDTS,PL/SQL developer, PERL, Winrunner, SQL Server, UNIX Shell scripting, SED, AWK

Responsibilities:

  • Understanding the client requirements for testing the application
  • Analyze the requirements/Perform impact analysis
  • Estimation of efforts for the requirements.
  • Drafting the Test Plan based on the Requirements shared by the client
  • Get the Test Plans reviewed by other Team Members and in corporate the Review comments
  • Review the Test Plans drafted by other team members and share the review comments
  • Perform a Peer Review of the test cases drafted by other team members
  • Draft the High Level Test Scenarios and review with client
  • Perform the Functional, Regression, Negative Test Cases in Quality Center
  • Testing backend modules and GUI
  • Developing common functionality for the GUI based automation using winrunner
  • Developing scripts in PERL to check the back end functionality
  • Logging defects in case if non functioning of a module
  • Regular tracking of defects raised in DDTS
  • Verification of defects once the development team resolves them

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