Data Science 101

Data Science 101

Introduction to Data Science at Treebo Hotels

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raghothams

March 14, 2018
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Transcript

  1. Data Science 101 @raghothams

  2. Data Science?

  3. Machine Learning Deep Learning AI Data Science?

  4. Machine Learning Deep Learning AI Data Science? AI

  5. Machine Learning Deep Learning AI Data Science? AI Machine Learning

  6. Machine Learning Deep Learning AI Data Science? AI Machine Learning

    Deep Learning
  7. None
  8. None
  9. Aug 1989

  10. Data Science? Business Context

  11. Data Science? Descriptive Business Context

  12. Data Science? Descriptive Inferential Business Context

  13. Data Science? Descriptive Inferential Predictive Business Context

  14. Descriptive Reporting / Dashboard

  15. Descriptive What is the number of room nights for Treebo

    cartier? Reporting / Dashboard
  16. Inferential Hypothesis driven

  17. Inferential Why is conversion rate on direct unusually low? •

    High selling price? Hypothesis driven
  18. Predictive Machine Learning

  19. Predictive What will be the occupancy tomorrow? Machine Learning

  20. None
  21. What will be the occupancy tomorrow?

  22. Uber Pool | Ola Share

  23. Uber Pool | Ola Share • Booking requests

  24. Uber Pool | Ola Share • Booking requests • Drivers

  25. Uber Pool | Ola Share • Booking requests • Drivers

    • Neighbourhoods
  26. Uber Pool | Ola Share • Booking requests • Drivers

    • Neighbourhoods • Lesser Fare | travel Time
  27. Uber Pool | Ola Share • Booking requests • Drivers

    • Neighbourhoods • Lesser Fare | travel Time • More Revenue
  28. Uber Pool | Ola Share • Booking requests • Drivers

    • Neighbourhoods • Lesser Fare | travel Time • More Revenue • Less Congestion
  29. Uber Pool | Ola Share • Booking requests • Drivers

    • Neighbourhoods • Lesser Fare | travel Time • More Revenue • Less Congestion
  30. Uber Pool | Ola Share • Booking requests • Drivers

    • Neighbourhoods • Lesser Fare | travel Time • More Revenue • Less Congestion Dynamic Neighbourhoods
  31. Uber Pool | Ola Share • Booking requests • Drivers

    • Neighbourhoods • Lesser Fare | travel Time • More Revenue • Less Congestion Dynamic Neighbourhoods Clustering dbscan
  32. Uber Pool | Ola Share • Booking requests • Drivers

    • Neighbourhoods • Lesser Fare | travel Time • More Revenue • Less Congestion Dynamic Neighbourhoods Clustering dbscan
  33. Data Science.

  34. Data Science. Data Engineering!

  35. None
  36. Fin.

  37. Share Matching Algo - https://engineering.grab.com/the-data-and-science-behind-grabshare-part-i Hacker Ways to Learn Data

    Science 1. Stats for Hackers https://www.youtube.com/watch?v=Iq9DzN6mvYA 2. HackerMath https://github.com/amitkaps/hackermath Image Credits: 1. https://github.com/amitkaps/bootstrap-data-science/ 2. https://scikit-learn.org/