Data Analyst/data Mining Intern (machine Learning)

Careers Philips

Sql for data extraction and cleaning
Python for data analysis and modeling
Machine learning algorithm principles
Utilize SQL for data extraction, cleaning, and preprocessing

Job Summary

  • Utilize SQL for data extraction, cleaning, and preprocessing.
  • Apply Python for data analysis, feature engineering, and machine learning modeling such as regression and clustering based on business needs.
  • Create visual reports using BI tools like PowerBI and leverage AI tools to enhance data analysis and programming efficiency.

Matching Summary

Utilize SQL for data extraction, cleaning, and preprocessing.

Skills & Requirements

Must-have

  • SQL for data extraction and cleaning
  • Python for data analysis and modeling
  • Machine learning algorithm principles
  • BI tools for visualization
  • Minimum three days on-site per week

Nice-to-have

  • Curiosity for AI technology
  • Strong self-drive
  • Clear logical thinking
  • AI tools for programming efficiency

Key Requirements

  • Undergraduate or graduate student
  • Statistics, Computer Science, Mathematics, Data Science major
  • Proficient in SQL (joins, aggregation, window functions)
  • Solid Python foundation with Pandas/NumPy
  • Understanding of AI/ML algorithms

Work Rights

Not specified

Tailored Resume

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