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Data Scientist

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Data Scientist
ID : 1726
Education level  : Master's degree
Work experience level  : Intermediate- (2-4 year experience)
Work experience in total  : Years
Job type  : Online
Job time  : Maandelijks
Last date of registration :
2022-12-21
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Profile description
Work experience In details :
Job position
Job description

Data Scientist - Dialog Axiata - (October 2021 - Present)

  • Assigned as the Team Lead to create and manage the dashboard and data marts in order to get the summarized details of Internal Audit, Facility Management, Cyber Security and Financial progress.
  • Participate in Agile methodology and scrum methodology
  • Technologies used: S3 bucket, oracle database, lambda function, Tableau, QuickSight, Snowflake, python.
  • Create and Manage ETL Process and Job Schedule (Monthly / Daily)

Data Analyst - Norlanka - (September 2020 - October 2021)

  • Involved in Data Scraping to analyze the comments and reviews from various websites to understand the user feedback for the products.
  • Build a Sentimental analysis using NLP, and Data Visualization using Power BI.
  • Develop the Data Mart

Associate Software Engineer - KPMG - (January 2020 - September 2020)

  • Develop the backend process for ERP System (Supply Chain and Finance). Participate in initial client discussions
    to gather the system requirements . Based on requiement create reports using SQL and Crystal reports and develop
    functional procedure for API services (ORACLE, APEX, Crystal Report).
  • Hands-on experience in Identifying Test Scenarios, Test case writing, Test Execution, Defect Reporting (Technologies used: Java, Selenium, Rest Assured, TestNG, SoapUI, JIRA and MySQL)
Hard skills
  • Data Skills: SQL, Python, R, Statistical Analysis, Data Mining, Business Analysis, Predictive Analysis, Java
  • Tools/Cloud Services: Tableau, AWS, Google Analytics,Azure, GitHub
  • Big data tools: Py Spark, Hadoop, Flume, Sqoop, HBASE, Hive, Pig
  • Operating System: Windows, Ubuntu, Mac OS
Soft skills
Achievements

Certificates:

  • Data Science with R - Simplilearn
  • Data Science with Python - Simplilearn
  • Advanced Machine Learning - Simplilearn
  • Tableau Desktop 10 - Simplilearn
  • Big Data Hadoop and Spark Developer - Simplilearn
Special notes

A Data Scientist with Data Skills in SQL, Python, R, Statistical Analysis, Data Mining, Business Analysis, Predictive Analysis, Java in Tools/Cloud Services: Tableau, AWS, Google Analytics, Azure, GitHub and Big data tools: Py Spark, Hadoop, Flume, Sqoop, HBASE, Hive, Pig in Windows, Ubuntu and Mac OS

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Education level: Bachelor's degree
Work experience level: Intermediate- (2-4 year experience)
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