Extern: Amazon Internship - Data Science
📊 Amazon Internship – Data Science Projects 🔹 Core Pipeline Projects
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.
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.
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.
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.
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:
Final Report & Reflection
- Description: Concluded: that there were more complains about scheduling and burnout issues for most segment with amazon
- Solutions: Allow interns or contractors to be able to set their own schedules.
- Presentation: https://www.loom.com/share/db79ea8fd2c94defbbd08b2d7b05ee06
- Google Colab:
- Description: Concluded: that there were more complains about scheduling and burnout issues for most segment with amazon
FREELANCER WORK
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