Sayantam sharing his experience with Learnbay's Data Analytics Course | Learnbay Review — Transcript

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1. 0:00hello everyone my name is shantam sarkar
2. 0:03I had done my B Tech in electrical
3. 0:05engineering from West Bengal University
4. 0:07of Technology and some sequently my M
5. 0:10Tech in power system engineering from
6. 0:12IIT i7 I am presently working in an EPC
7. 0:16company in Smart City domains where I am
8. 0:20more involved in financial analysis of
9. 0:22data for different tenders and its
10. 0:25subsequent components and also the
11. 0:28analyzing of data retrieved from iot
12. 0:30census to your conclusions steer
13. 0:33analysis and the final representations
14. 0:36to the clients and the customers
15. 0:38as far as learn B is concerned I had
16. 0:41joined Lund Bay in October 2021
17. 0:45I got this suggestion from one of my
18. 0:47friend who is a part of the learn big
19. 0:49course and the class stations initially
20. 0:51so I enrolled myself into the data
21. 0:54science and the analytics course where
22. 0:57different subjects were about to be
23. 0:59taught which was arranging from python
24. 1:02machine learning statistics W power bi
25. 1:05SQL and some highlighted insights into
26. 1:09the deep learning Concepts the NLP
27. 1:12Concepts some big data analytics and
28. 1:15deployment part as well
29. 1:17so the teachers in the London Bay team
30. 1:19are highly proficient in explaining the
31. 1:23concepts to the students they are all
32. 1:25working professionals and they had been
33. 1:27clearing the doubts of each and every
34. 1:29individual students in a very detailed
35. 1:32way
36. 1:33apart from the normal class sessions
37. 1:36there were many project sessions held
38. 1:38which ventured into different domains of
39. 1:42the market sectors like healthcare then
40. 1:45e-commerce then digital Ott platforms
41. 1:49Banking and many others
42. 1:51so these projects were made to be done
43. 1:55with different algorithms specifically
44. 1:58linear depression logistic regression
45. 2:00random Forest Precision trees bagging
46. 2:03and boosting gradient boost XG boost one
47. 2:06of the major project which was done by
48. 2:09Me was the Ott churn analytics where I
49. 2:13had done a detailed data cleaning and
50. 2:16data analysis feature extraction using
51. 2:19bivariate analysis and then eventually
52. 2:23implemented nature algorithms like
53. 2:25logistic figuration random Forest
54. 2:28classification and decision tree to
55. 2:32understand whether the users who have
56. 2:36already subscribed to a particular Ott
57. 2:38platform on the basis of the features of
58. 2:42minimum and maximum minutes watched and
59. 2:44other specific features will
60. 2:47re-subscribe to the same auditing
61. 2:49platform again or not so this was a very
62. 2:52interesting project where I tried to
63. 2:54optimize my accuracy to a highest level
64. 2:57for the test data so as far as my
65. 3:02experience with the learn way team is
66. 3:04concerned I had gained much knowledge
67. 3:07into the machine learning and the data
68. 3:10science student and I am looking forward
69. 3:13to venture myself in exploring different
70. 3:15opportunities in the data science market
71. 3:18with the help of the extensive knowledge
72. 3:20received from the London team thank you