Data Scientist

Data Scientist
ID : 1674
Education level  : Bachelor'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 :
Profile description

Thorough and meticulous Data Analyst with 2 years of experience in the field of Data Science, Telco domain & very good attitude in a professional environment, with an interest in translating data into unique solutions that generate actionable insights. Seeking to leverage analytical skills to improve corporate performance as a data scientist.

Work experience In details :
Job position
Job description

Data Scientist - Axiata Digital Analytics Singapore PVT LTD -(August 2020 to Present)

  • Conducted a vast range of Adhoc analyses using PySpark, including data cleansing, provisioning for major business initiatives related to several Telco projects, adhering to internal and external client requirements & providing client support, which resulted $102,000 worth of deliveries in 2022.
  • Responsible for backend data generation with AWS EMR, S3 & maintaining standard versions of dashboards on monthly basis utilizing Tableau, Redshift & SQL workbench while supporting customized versions for clients & sales pitches.
  • Initiated the pipeline automation for 5 dashboards for 8 countries, reducing 576 hours of manual work, along with dashboard documentation, quality check procedure & script versioning using Git.
  • Successfully completed detailed programming & development task for a rule-based model for internal use based on business requirements, which eventually resulted an increased demand in 7 dashboards & multiple data deliveries.
  • Ensuring the availability of necessary data requirements. Analysis used in data council to identify impact & potential data replacement options for 3 countries.
  • Involved in machine learning model retraining, maintenance & next phase model enhancement using Python.
  • Created AWS setup guidelines & maintained the documentation for new joiners which was used by more than 10 newcomers in the team, as well as ensuring a smooth transition along with training.
Hard skills
  • Technical
    • AWS EMR
    • S3
    • Cloud9
    • PySpark
    • Tableau
    • Python
    • SQL
    • Redshift
    • R
    • Git
    • Jira
    • Bit Data Analysis
    • Microsoft Power BI
    • Word, Excel
    • PowerPoint
    • SPSS
Soft skills
  • Strengths
    • Quick learner
    • Versatility & Flexibility
    • Collaborative
    • Analytical
    • Time management
Special notes

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