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Language Data Analyst And Native Speaker Resume

PERSONAL SUMMARY:

An aspiring self - motivated and talented data analyst. An individual with excellent organizational skills, and excellent verbal and written skill with a keen eye for detail who’s able to play a key role in analyzing problems and come up with creative solutions as well as producing methodologies for effective data production and management.

ANALYTICAL PROGRAMMING LANGUAGES SKILLS:

Hadoop Tools: MS (Excel, Outlook, PowerPoint, Access)

Data Warehouse:: Data warehouse Google big query: ETL from an API (Python)

Big Data: Developing Insights From Customer Complaints On Financial Services (Using Spark)

Artificial Intelligence:: Facial Emotion Recognition Tool (Matlab, Python)

Data Analytics:: Exploring Patterns Of Dataset Of Patients With Different Medical Cases (R)

Data Analytics & Visualization:: Analyzing Movies Performance Based On Genres (Tableau)

Machine Learning:: World Cup Prediction Tool (Matlab)

WORK EXPERIENCE:

Confidential

Language Data Analyst and Native Speaker

Responsibilities:

  • Data Scouting: searched and entered more than 55,000 separate files of different types from the web as well as answering several questions about the content.
  • Data Auditing: evaluated the suitability of all document files I we have collected and entered.
  • Annotation: labeled all instances (of named entities) within a document
  • Validation and Co-: reviewed the output of annotations and confirm that it is complete and accurate and indicated which of those names refer to the same entity.
  • Discovery and Linking: conducted a database search and create a “link” between the document and the database.
  • Supplemental Data Analysis: provided supplemental data analysis beyond the tasks described.

Confidential, St Paul, Minnesota

Data analyst

Responsibilities:

  • Entered data received from clerks
  • Participated in data auditing, creating data reports & monitoring all data for accuracy.
  • Manipulated, cleansed and processed data using Excel and SQL and supplement missing data using appropriate methodology.
  • Loaded, extracted and validated members’ data on weekly basis.
  • Participated in analyzing raw data, drawing conclusions & developing recommendations
  • Advised to top level management on the suitability of methodologies and suggested improvements.
  • Provided qualitative and quantitative data to colleagues & members.

Confidential, St Paul, Minnesota

Reconciliation Officer

Responsibilities:

  • Performed verification and reconciliation of accounts on daily basis.
  • Maintained appropriate files, reports, documentation and data.
  • Maintained regular contacts with internal and external customers.

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