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Data Science Programming

[Week 1]

  • Set up git bash on workstation
  • Picked up basic syntax of R
  • Completed tasks 1 thru 3

[Week 2]

[Week 3]

[Week 4]

[Week 5]

  • Retrieved ~20 posts from Prime Minister Lee Hsien Loong's Facebook page
  • Computed TF-IDF weighting for each unique terms
  • Converted computational results to matrix and csv

[project 2]

  • Presented and analyzed a kernel w.r.t Kaggle challenge "Kobe Bryant Shot Selection"
  • Plotted multiple location details to help understand shot distribution

[project 4]

  • Randomly sampled .02% of data from a warehouse of ~2.5 billion CDN records
  • Applied Apriori Algorithm to determine association between "MISS" records and 3 chosen columns

[project final]

  • Built a fully automated data warehouse using AWS
  • Implemented various optimization technologies to achieve stability, scalability, and accessibility requirements
  • Designed and developed an automated reporting pipeline based upon service-level agreement (SLA)

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