Unboxing Data Science (Short Verison)

If you believe data can power and disrupt businesses this talk is for you. In this talk you will join me into an overall unboxing of data science, how I learned and used it to empower a company I worked with, enabling them to take conscious and informed decisions on how to react and plan ahead on different circumstances. A great chance to learn data science and how to apply it in real life.

Transcript

1. DATA SCIENCE DATA SCIENCE DATA SCIENCE DATA SCIENCE Unboxing
6. DON'T SETTLE DON'T SETTLE FOR UNTAPPED POTENTIAL FOR UNTAPPED POTENTIAL
7. Joao Moura Engineering Manager and Speaker @joaomdmoura joaomdmoura.com
9. 20% 20% MONTHLY MONTHLY ~ ~
10. How much money will we make? Who were our clients? Can we forecast a customer's quality?
11. How much money will we make?
12. 1 1 FORECAST FORECAST THE NEXT THE NEXT MONTH'S REVENUE MONTH'S REVENUE
13. 1 1 FORECAST FORECAST MONTH'S REVENUE MONTH'S REVENUE THE NEXT THE NEXT
14. 1 1 FORECAST FORECAST MONTH'S REVENUE MONTH'S REVENUE THE NEXT THE NEXT
15. 1 1 FORECAST FORECAST MONTH'S REVENUE MONTH'S REVENUE THE NEXT THE NEXT
16. 1 1 FORECAST FORECAST MONTH'S REVENUE MONTH'S REVENUE THE NEXT THE NEXT
17. 1 1 FORECAST FORECAST MONTH'S REVENUE MONTH'S REVENUE THE NEXT THE NEXT
18. 1 1 FORECAST FORECAST MONTH'S REVENUE MONTH'S REVENUE THE NEXT THE NEXT
19. 1 1 FORECAST FORECAST MONTH'S REVENUE MONTH'S REVENUE THE NEXT THE NEXT
20. 1 1 FORECAST FORECAST MONTH'S REVENUE MONTH'S REVENUE THE NEXT THE NEXT
21. 1 1 FORECAST FORECAST MONTH'S REVENUE MONTH'S REVENUE THE NEXT THE NEXT What month it is What season it is Last month's revenue Amount spent on Ads Last year's same month revenue } }Linear Regression
22. 1 1 FORECAST FORECAST MONTH'S REVENUE MONTH'S REVENUE THE NEXT THE NEXT
23. 1 1 FORECAST FORECAST MONTH'S REVENUE MONTH'S REVENUE THE NEXT THE NEXT GRADIENT GRADIENT BOOST BOOST REGRESSOR REGRESSOR
24. 1 1 FORECAST FORECAST MONTH'S REVENUE MONTH'S REVENUE THE NEXT THE NEXT
25. 1 1 FORECAST FORECAST MONTH'S REVENUE MONTH'S REVENUE THE NEXT THE NEXT
26. 1 1 FORECAST FORECAST MONTH'S REVENUE MONTH'S REVENUE THE NEXT THE NEXT
27. Who were our clients?
28. 2 2 CLUSTERIZE CLUSTERIZE CUSTOMERS CUSTOMERS BY ITS QUALITY BY ITS QUALITY
29. EMAILS EMAILS 2 2 CLUSTERIZE CLUSTERIZE BY ITS QUALITY BY ITS QUALITY CUSTOMERS CUSTOMERS
30. 2 2 CLUSTERIZE CLUSTERIZE BY ITS QUALITY BY ITS QUALITY CUSTOMERS CUSTOMERS
31. EMAILS EMAILS State Country Alexa Rank Customer Orders 2 2 CLUSTERIZE CLUSTERIZE BY ITS QUALITY BY ITS QUALITY CUSTOMERS CUSTOMERS
32. 2 2 CLUSTERIZE CLUSTERIZE BY ITS QUALITY BY ITS QUALITY CUSTOMERS CUSTOMERS * All data is normalized, so it's not the actual number of order nor USD spent
33. 2 2 CLUSTERIZE CLUSTERIZE BY ITS QUALITY BY ITS QUALITY CUSTOMERS CUSTOMERS * All data is normalized, so it's not the actual number of order nor USD spent
34. 2 2 CLUSTERIZE CLUSTERIZE BY ITS QUALITY BY ITS QUALITY CUSTOMERS CUSTOMERS * All data is normalized, so it's not the actual number of order nor USD spent
35. 2 2 CLUSTERIZE CLUSTERIZE BY ITS QUALITY BY ITS QUALITY CUSTOMERS CUSTOMERS * All data is normalized, so it's not the actual number of order nor USD spent
36. Can we forecast a customer's quality?
37. 3 3 FORECAST FORECAST A A CUSTOMER CUSTOMER QUALITY QUALITY
38. 3 3 FORECAST FORECAST CUSTOMER CUSTOMER A A QUALITY QUALITY
39. 3 3 FORECAST FORECAST CUSTOMER CUSTOMER A A QUALITY QUALITY
40. 3 3 FORECAST FORECAST CUSTOMER CUSTOMER A A QUALITY QUALITY
41. 3 3 FORECAST FORECAST CUSTOMER CUSTOMER A A QUALITY QUALITY
42. 3 3 FORECAST FORECAST CUSTOMER CUSTOMER A A QUALITY QUALITY
43. 70% 70% 3 3 FORECAST FORECAST CUSTOMER CUSTOMER A A QUALITY QUALITY CROSS VAL SCORE CROSS VAL SCORE
44. 89% 89% 3 3 FORECAST FORECAST CUSTOMER CUSTOMER A A QUALITY QUALITY SPLIT TEST SCORE SPLIT TEST SCORE
45. 3 3 FORECAST FORECAST CUSTOMER CUSTOMER A A QUALITY QUALITY ADA ADABOOST BOOSTCLASSIFIER CLASSIFIER ensembling
46. 3 3 FORECAST FORECAST CUSTOMER CUSTOMER A A QUALITY QUALITY
47. 3 3 FORECAST FORECAST CUSTOMER CUSTOMER A A QUALITY QUALITY
48. 94% 94% 3 3 FORECAST FORECAST CUSTOMER CUSTOMER A A QUALITY QUALITY SPLIT TEST SCORE SPLIT TEST SCORE
51. DATA SCIENCE DATA SCIENCE IS AWESOME IS AWESOME
52. IT'S YOU JOB IT'S YOU JOB TO STEP IN TO STEP IN
53. DON'T SETTLE DON'T SETTLE FOR UNTAPPED POTENTIAL FOR UNTAPPED POTENTIAL
54. ELIXIR ELIXIRBY BYA ARUBYIST RUBYIST.COM .COM
55. Joao Moura Engineering Manager and Speaker @joaomdmoura joaomdmoura.com