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Vishnu Vooradi

Vishnu Vooradi

IOA Tech Digital content

Administrative

Hyderabad, Hyderabad

Social

About Vishnu Vooradi:

  • Read carefully and understand the given data which could be of any type/ format
  • Perform general research and extensive research (when required) and correctly interpret the available information
  • Quick decisive skills to compare, analyze and judge the better search algorithm
  • Evaluate the search results/ queries and rate them by following the available guideline

Experience

  • Read carefully and understand the given data which could be of any type/ format
  • Perform general research and extensive research (when required) and correctly interpret the available information
  • Quick decisive skills to compare, analyze and judge the better search algorithm
  • Evaluate the search results/ queries and rate them by following the available guidelines
  • Properly read and understand the given data and then match/ map to correct and relevant categories
  • Ensure the quality, accuracy, and timeliness of all Data Science Curation/QA Activities.
  • Collaborate with team members to identify process targets.
  • Coordinate to resolve data issues including inaccuracies, late/missing data or unexpected formatting.
  • Recommend Activity wise improvements or corrections to Data Science Engineers/QA Engineers..
  • Ensure to be confidential regarding Client related Tools/projections/data

Education

  • Read carefully and understand the given data which could be of any type/ format
  • Perform general research and extensive research (when required) and correctly interpret the available information
  • Quick decisive skills to compare, analyze and judge the better search algorithm
  • Evaluate the search results/ queries and rate them by following the available guidelines
  • Properly read and understand the given data and then match/ map to correct and relevant categories
  • Ensure the quality, accuracy, and timeliness of all Data Science Curation/QA Activities.
  • Collaborate with team members to identify process targets.
  • Coordinate to resolve data issues including inaccuracies, late/missing data or unexpected formatting.
  • Recommend Activity wise improvements or corrections to Data Science Engineers/QA Engineers..
  • Ensure to be confidential regarding Client related Tools/projections/data

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