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Recently graduated, test engineer with knowledge in system frameworks and programming. Proven ability to understand customer requirements and translate into actionable project plans. Dedicated and hard-working with excellent teamwork and collaborative capacities. 

Self-driven, currently learning data science, along with some machine learning. 

Professional Experience
Test Automation Engineer - Microsoft(Client) Feb 2018 to Current
Wipro Technologies Redmond, WA

Worked with client first hand to help delivery 3 updates related towards Windows10

  • Ensured the finished product (software, application, updates) has been tested thoroughly along with a concise report identifying the results.
  • Triage issues and test failures - to assess and mitigate risk via (debugging, environment, job, and configuration errors).
  • Track defects/issues through creating a bug.
  • Initiate testing for returned builds, collecting data, and analyzing patterns.
  • Monitor test automation.
  • Utilizing in-house testing software's developed by client.
  • Communicate between all parties involved in the testing life cycle
  • Utilize Agile principles 
  • Continuous integration/Continuous delivery (CI/CD)

Education and Training
B.S, Information Technology and Systems December 2017 The University of Texas at Dallas Information Technology and Systems
Kal Academy - Workshop

Currently learning Data Science

  • Introduction to Python in data science
  • Introduction to machine learning – Supervised and unsupervised models
  • Build machine learning models using Python
  • Build predictive analytics models using Azure Machine Learning Studio
  • Implementing predictive solutions with Spark in HDInsight
  • Introduction to Kafka
Conversational in Spanish
Knowledge Base

Basic understanding of the following language/software

  • Azure DevOps, Visual Studio Team Services(VSTS)
  • Microsoft Tools (Outlook,Word,Excel,Teams,OneNote)
  • PowerBI
  • C#,Powershell
  • AzureML
  • Analytical Software: Rstudio, Python
  • Database Software: Oracle Database 11g,
  • SQL NoSQLDatabase Software: MongoDB, Hive, Spark/Sparklyr
  • Desktop Publishing Software: HTML, CSS, JavaScript
  • Data Visualization Software: Tableau, R(ggplot2, Plotly, Shiny), D3
Additional Information
  • Eligibility: Eligible to work in the U.S. with no restrictions