Extern: Amazon Internship - Data Science

📊 Amazon Internship – Data Science Projects 🔹 Core Pipeline Projects

  1. Gather public employee reviews and get them ready for analysis using simple tools.

    • Level: Easy
    • Tech Stack: Python, Google Colab, pandas
    • Google Colab:
    • Description:
      • Collected public review and preprocessed the information for analysis using python.
      • Organized messy employee feedback into clean, usable data sets.
  2. Analyze Words and Tone: Use basic coding tools to see what employees are saying and how they’re saying it.

    • Level: Intermediate
    • Tech Stack: Python, Google Colab, data cleansing
    • Google Colab: Description:
      • Analyzed and interpreted the words and tone of the collected public review.
      • Organized messy employee feedback into clean, usable data sets.
  3. Analyzed and interpreted the public review - Spot Common Issues Level: Intermediate

    • Tech Stack: Python, Google Colab, excel
    • Google Colab:
      • Description:
      • Looked for repeated complaints or themes and figure out what’s causing them. Text cleasing and used polarity scores for further interpretation.
      • Used tools like Python and spreadsheets to analyze words and tone in reviews.
  4. Group Employees by Role

    • Level: Intermediate
    • Tech Stack: Python, Google Colab, pandas, excel
    • Google Colab:
      • Description:
      • Organize feedback by job type, shift, or time at the company to see who’s most affected.
      • Found patterns and key themes in feedback to write clear summaries.
  5. Suggest a Simple Fix

    • Level: Intermediate
    • Tech Stack: Python, google colab, pandas, excel, matplotlib
    • Description:
      • Come up with one smart, realistic idea to improve the experience—and pitch it clearly in slides.
    • Google Colab:
  6. Final Report & Reflection

FREELANCER WORK

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