title
Prakhar Raj Become Data Scientist at Simpl | Data Scientist Interview | Applied Ai Course Reviews
description
Prakhar Raj Become Data Scientist at Simpl | Data Scientist Interview | Applied Ai Course Reviews
#datascience #datascienceinterviews #appliedaicourse
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The AppliedAICourse attempts to teach students/course-participants some of the core ideas in machine learning, data-science and AI that would help the participants go from a real world business problem to a first cut, working and deployable AI solution to the problem. Our primary focus is to help participants build real world AI solutions using the skills they learn in this course.
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{'title': 'Prakhar Raj Become Data Scientist at Simpl | Data Scientist Interview | Applied Ai Course Reviews', 'heatmap': [{'end': 963.538, 'start': 937.419, 'weight': 0.997}], 'summary': "Prakar's journey from student to data scientist at simpl highlights the importance of consistent effort, with a success rate of high 90s for proactive learners; insights into balancing work and learning, data science interviews, and potential 70 to 100 percent salary raises when transitioning from software engineering to data science roles during covid times are also discussed.", 'chapters': [{'end': 294.274, 'segs': [{'end': 89.196, 'src': 'embed', 'start': 11.624, 'weight': 0, 'content': [{'end': 15.527, 'text': 'for joining and thank you, prakar, for taking the time to share your journey with us.', 'start': 11.624, 'duration': 3.903}, {'end': 20.911, 'text': 'thank you very much on behalf of all of our students and the team at applied ai course.', 'start': 15.527, 'duration': 5.384}, {'end': 30.778, 'text': 'so just to introduce prakar prakar was a student from june 2019 to june 2020 and he recently landed as a data scientist at a comp,', 'start': 20.911, 'duration': 9.867}, {'end': 36.303, 'text': 'at a fintech company or a financial technology company called simple, and congratulations, prakar.', 'start': 30.778, 'duration': 5.525}, {'end': 38.204, 'text': 'i believe you just joined recently, right?', 'start': 36.303, 'duration': 1.901}, {'end': 39.045, 'text': 'maybe a few days back.', 'start': 38.204, 'duration': 0.841}, {'end': 41.266, 'text': "yeah, yeah, Yeah, it's been two weeks.", 'start': 39.045, 'duration': 2.221}, {'end': 42.107, 'text': "Oh, it's been two weeks.", 'start': 41.446, 'duration': 0.661}, {'end': 42.587, 'text': 'Thank you, sir.', 'start': 42.127, 'duration': 0.46}, {'end': 44.409, 'text': 'Congratulations on the transition.', 'start': 42.948, 'duration': 1.461}, {'end': 51.675, 'text': 'And prior to joining Simple as a data scientist, he was an associate software engineer at High Radius.', 'start': 45.009, 'duration': 6.666}, {'end': 59.381, 'text': 'And prior to that, he was a computer science BTEC student until 2019 at KAIT, which is Kalinga Institute of Technology.', 'start': 52.315, 'duration': 7.066}, {'end': 61.263, 'text': 'And yeah, thank you.', 'start': 60.061, 'duration': 1.202}, {'end': 63.005, 'text': 'Thank you, Prakash, for taking the time once again.', 'start': 61.283, 'duration': 1.722}, {'end': 69.192, 'text': 'And I just wanted to understand a few things from you, your suggestions, your journey, your experiences,', 'start': 63.205, 'duration': 5.987}, {'end': 75.56, 'text': "so that students similar to you can benefit from the course or in the general learning journey, whether they're course enrolled or not.", 'start': 69.192, 'duration': 6.368}, {'end': 77.113, 'text': 'Right, right.', 'start': 76.693, 'duration': 0.42}, {'end': 77.813, 'text': 'Sure, sir.', 'start': 77.453, 'duration': 0.36}, {'end': 78.474, 'text': 'Sounds good.', 'start': 78.093, 'duration': 0.381}, {'end': 83.495, 'text': 'So first thing that I wanted to ask you was, you did a very good job in the course.', 'start': 78.854, 'duration': 4.641}, {'end': 88.116, 'text': 'You have done both the case studies under our mentorship.', 'start': 84.675, 'duration': 3.441}, {'end': 89.196, 'text': "You've done a terrific job.", 'start': 88.156, 'duration': 1.04}], 'summary': 'Prakar, a former student, recently became a data scientist at a fintech company, simple, after completing the course from june 2019 to june 2020, and had previously worked as an associate software engineer at high radius.', 'duration': 77.572, 'max_score': 11.624, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/Z_4IjTZW14c/pics/Z_4IjTZW14c11624.jpg'}, {'end': 178.565, 'src': 'embed', 'start': 152.899, 'weight': 7, 'content': [{'end': 163.307, 'text': 'the query resolution system was very active and the instructors or the team would use to reply back very efficiently in a few hours itself.', 'start': 152.899, 'duration': 10.408}, {'end': 169.8, 'text': 'And in the chat window as well, whenever we used to post any questions, the answers used to come back really quick.', 'start': 163.817, 'duration': 5.983}, {'end': 178.565, 'text': 'So the only thing is, you should be proactive from your end, that you know, you put in efforts, or maybe you know.', 'start': 170.241, 'duration': 8.324}], 'summary': 'Query resolution system and chat responses were efficient, with quick replies in a few hours.', 'duration': 25.666, 'max_score': 152.899, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/Z_4IjTZW14c/pics/Z_4IjTZW14c152899.jpg'}, {'end': 302.186, 'src': 'embed', 'start': 276.181, 'weight': 5, 'content': [{'end': 285.288, 'text': 'So students who put in consistent and persistent effort day in, day out, their success rate is in the high 90s.', 'start': 276.181, 'duration': 9.107}, {'end': 287.629, 'text': "That's certainly a very, very good point that you mentioned.", 'start': 285.308, 'duration': 2.321}, {'end': 294.274, 'text': "And I'm very happy that you pointed out the importance of at least the top few comments, because there are videos with thousands of comments.", 'start': 287.99, 'duration': 6.284}, {'end': 302.186, 'text': 'even if you go through the top upvoted or admin voted once, there is a lot of treasure trove to learn from there.', 'start': 294.274, 'duration': 7.912}], 'summary': 'Consistent effort yields high success rate, top comments hold valuable insights.', 'duration': 26.005, 'max_score': 276.181, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/Z_4IjTZW14c/pics/Z_4IjTZW14c276181.jpg'}], 'start': 11.624, 'title': "Prakar's data science journey and importance of consistency", 'summary': "Discusses prakar's journey from student to data scientist at simple, emphasizing the significance of consistent effort in daily learning, highlighted by the success rate of high 90s for students with persistent and proactive learning.", 'chapters': [{'end': 111.945, 'start': 11.624, 'title': "Prakar's data science journey", 'summary': "Discusses prakar's journey from being a student at kait to becoming a data scientist at simple, a fintech company, leveraging the course content, query resolution, assignments, and self case studies, providing insights for students to benefit from the learning journey.", 'duration': 100.321, 'highlights': ['Prakar recently landed as a data scientist at a fintech company called Simple. Prakar recently landed a job as a data scientist at Simple, a fintech company.', 'Prakar was a student from June 2019 to June 2020 and had completed both case studies under mentorship. Prakar was a student from June 2019 to June 2020 and successfully completed both case studies under mentorship.', 'Prakar was an associate software engineer at High Radius before joining Simple as a data scientist. Before joining Simple as a data scientist, Prakar worked as an associate software engineer at High Radius.', 'Prakar was a computer science BTEC student until 2019 at KAIT, Kalinga Institute of Technology. Prakar was a computer science BTEC student until 2019 at KAIT, Kalinga Institute of Technology.', "The chapter discusses Prakar's journey, leveraging the course content, query resolution, assignments, and self case studies, providing insights for students to benefit from the learning journey. The chapter discusses Prakar's journey from being a student at KAIT to becoming a data scientist at Simple, a fintech company, leveraging the course content, query resolution, assignments, and self case studies, providing insights for students to benefit from the learning journey."]}, {'end': 294.274, 'start': 111.985, 'title': 'Importance of consistency and proactive learning', 'summary': 'Emphasizes the significance of consistent effort in daily learning, highlighted by the success rate of high 90s for students with persistent and proactive learning. the importance of proactive participation in case studies and leveraging various learning resources is also underscored.', 'duration': 182.289, 'highlights': ['Students with consistent and persistent effort have a success rate in the high 90s. Consistent and persistent effort leads to high success rate of over 90%.', 'Importance of proactive participation in case studies and leveraging various learning resources. Proactive participation in case studies and leveraging various learning resources is emphasized for comprehensive learning.', 'Efficient query resolution system and quick response from instructors and team members. Efficient query resolution system with quick response from instructors and team members is highlighted.']}], 'duration': 282.65, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/Z_4IjTZW14c/pics/Z_4IjTZW14c11624.jpg', 'highlights': ['Prakar recently landed a job as a data scientist at Simple, a fintech company.', 'Prakar was a student from June 2019 to June 2020 and successfully completed both case studies under mentorship.', 'Prakar worked as an associate software engineer at High Radius before joining Simple as a data scientist.', 'Prakar was a computer science BTEC student until 2019 at KAIT, Kalinga Institute of Technology.', "The chapter discusses Prakar's journey from being a student at KAIT to becoming a data scientist at Simple, a fintech company, leveraging the course content, query resolution, assignments, and self case studies, providing insights for students to benefit from the learning journey.", 'Consistent and persistent effort leads to high success rate of over 90%.', 'Proactive participation in case studies and leveraging various learning resources is emphasized for comprehensive learning.', 'Efficient query resolution system with quick response from instructors and team members is highlighted.']}, {'end': 795.205, 'segs': [{'end': 354.596, 'src': 'embed', 'start': 321.256, 'weight': 0, 'content': [{'end': 322.877, 'text': 'you have to prove yourself.', 'start': 321.256, 'duration': 1.621}, {'end': 328.521, 'text': 'at the same time, you have to make time for for learning and growth with applied AI course.', 'start': 322.877, 'duration': 5.644}, {'end': 331.242, 'text': 'so how did you balance both of those?', 'start': 328.521, 'duration': 2.721}, {'end': 336.206, 'text': 'when I got into high radius, it was like a software engineer, as you pointed out right,', 'start': 331.242, 'duration': 4.964}, {'end': 344.808, 'text': "but during one of the internal hirings which happened in my company itself at high radius, I honestly told my manager like this is what I've done,", 'start': 336.206, 'duration': 8.602}, {'end': 346.649, 'text': 'but I am really interested into it.', 'start': 344.808, 'duration': 1.841}, {'end': 349.632, 'text': "So if I get a chance, I'll be really glad.", 'start': 346.669, 'duration': 2.963}, {'end': 354.596, 'text': 'And so he basically gave me that opportunity and I got into it.', 'start': 349.832, 'duration': 4.764}], 'summary': 'Balancing work as a software engineer with pursuing ai course at high radius, leading to internal hiring and career growth.', 'duration': 33.34, 'max_score': 321.256, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/Z_4IjTZW14c/pics/Z_4IjTZW14c321256.jpg'}, {'end': 472.295, 'src': 'embed', 'start': 411.482, 'weight': 3, 'content': [{'end': 416.606, 'text': 'So the most important thing is just to develop that reading habit and go through those blogs.', 'start': 411.482, 'duration': 5.124}, {'end': 423.252, 'text': 'And so whatever topic I have maybe studied from the course video, through the Applied AI course, maybe related to those topics,', 'start': 416.687, 'duration': 6.565}, {'end': 426.615, 'text': 'I used to just read and skim through those blogs in the office hours.', 'start': 423.252, 'duration': 3.363}, {'end': 427.176, 'text': 'And that is it.', 'start': 426.715, 'duration': 0.461}, {'end': 434.482, 'text': 'But when I used to come back home and then it was time for me to watch those videos, create my notes and everything.', 'start': 427.716, 'duration': 6.766}, {'end': 436.927, 'text': 'and third point assignments.', 'start': 435.066, 'duration': 1.861}, {'end': 444.129, 'text': 'assignment was something that i used to do, uh, at the weekends, because that is the time when i really wanted to invest uh,', 'start': 436.927, 'duration': 7.202}, {'end': 447.27, 'text': 'and that actually involves a lot of coding and everything right.', 'start': 444.129, 'duration': 3.141}, {'end': 451.312, 'text': 'so dedicated hours could be given during the weekends.', 'start': 447.27, 'duration': 4.042}, {'end': 454.033, 'text': 'so that is how i used to balance these things.', 'start': 451.312, 'duration': 2.721}, {'end': 455.273, 'text': 'but again, persistence.', 'start': 454.033, 'duration': 1.24}, {'end': 464.351, 'text': "like you will have to stick to, uh, doing your assignments on the weekends, not like maybe let's just skip it this weekend and we'll do it next week.", 'start': 455.273, 'duration': 9.078}, {'end': 471.614, 'text': 'so then it takes more time to complete the course or maybe you also start to forget the.', 'start': 464.351, 'duration': 7.263}, {'end': 472.295, 'text': "it's very important.", 'start': 471.614, 'duration': 0.681}], 'summary': 'Develop a reading habit, review blogs, and dedicate weekend hours for coding assignments to balance learning.', 'duration': 60.813, 'max_score': 411.482, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/Z_4IjTZW14c/pics/Z_4IjTZW14c411482.jpg'}, {'end': 524.028, 'src': 'embed', 'start': 496.264, 'weight': 6, 'content': [{'end': 501.75, 'text': "That proactiveness to take initiative, go to the manager and say, hey, this is a career that I'm looking for.", 'start': 496.264, 'duration': 5.486}, {'end': 506.054, 'text': 'I will learn everything, but I want to start working on it, especially young in your career,', 'start': 501.85, 'duration': 4.204}, {'end': 508.637, 'text': "or especially when you're learning a new skill like machine learning.", 'start': 506.054, 'duration': 2.583}, {'end': 514.686, 'text': 'There is no harm in going to a manager and saying, hey, here is a thought, I want to write this machine learning module.', 'start': 509.324, 'duration': 5.362}, {'end': 516.265, 'text': 'I will do it in my additional time.', 'start': 514.905, 'duration': 1.36}, {'end': 524.028, 'text': "But the moment you do that, you're showing active participation, taking initiative, which are very highly rewarded in the industry.", 'start': 516.746, 'duration': 7.282}], 'summary': 'Proactively seek opportunities, show initiative in new skills, like machine learning, to gain industry rewards.', 'duration': 27.764, 'max_score': 496.264, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/Z_4IjTZW14c/pics/Z_4IjTZW14c496264.jpg'}, {'end': 584.03, 'src': 'embed', 'start': 555.598, 'weight': 7, 'content': [{'end': 558.14, 'text': 'So basically, I have seen both the extremities.', 'start': 555.598, 'duration': 2.542}, {'end': 565.576, 'text': "few companies where maybe you'll have only two to three rounds and here, like I, had eight rounds,", 'start': 559.231, 'duration': 6.345}, {'end': 570.72, 'text': 'but it was because I was appearing for one of the positions.', 'start': 565.576, 'duration': 5.144}, {'end': 574.323, 'text': 'but they found out that you know it will be even better for you.', 'start': 570.72, 'duration': 3.603}, {'end': 577.786, 'text': 'if you you know, go for this, this particular team, right.', 'start': 574.323, 'duration': 3.463}, {'end': 580.288, 'text': 'so there are subdivisions in the data science team itself.', 'start': 577.786, 'duration': 2.502}, {'end': 584.03, 'text': 'so it was actually a you know better thing for me itself.', 'start': 580.288, 'duration': 3.742}], 'summary': 'Experienced a wide range of interview processes, including 8 rounds for a specific position, leading to a better fit within the data science team.', 'duration': 28.432, 'max_score': 555.598, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/Z_4IjTZW14c/pics/Z_4IjTZW14c555598.jpg'}, {'end': 625.417, 'src': 'embed', 'start': 599.28, 'weight': 8, 'content': [{'end': 604.143, 'text': "But as long as I think you're prepared and your basics are clear, it goes really well.", 'start': 599.28, 'duration': 4.863}, {'end': 608.606, 'text': 'So few of the companies where I had my interviews.', 'start': 604.483, 'duration': 4.123}, {'end': 618.195, 'text': 'in the HR call itself, like the first call that you get from the hiring manager, you may also expect it to be a technical call itself.', 'start': 609.553, 'duration': 8.642}, {'end': 625.417, 'text': "So whenever you're applying, I think it's very important that you should be very clear of whatever you have on your resume.", 'start': 618.415, 'duration': 7.002}], 'summary': 'Clear basics and preparation lead to successful interviews at some companies.', 'duration': 26.137, 'max_score': 599.28, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/Z_4IjTZW14c/pics/Z_4IjTZW14c599280.jpg'}, {'end': 685.005, 'src': 'embed', 'start': 651.192, 'weight': 9, 'content': [{'end': 653.053, 'text': 'So that went around 30 to 40 minutes.', 'start': 651.192, 'duration': 1.861}, {'end': 654.614, 'text': 'So that is also something that you can expect.', 'start': 653.073, 'duration': 1.541}, {'end': 658.177, 'text': 'Now, second thing is on the mathematical front.', 'start': 655.075, 'duration': 3.102}, {'end': 667.403, 'text': 'if you see for less experienced candidates like us, I did not see that they were going in a lot of depth, but yes,', 'start': 658.177, 'duration': 9.226}, {'end': 677.979, 'text': 'Once you see that a company is interested in hiring you, they may go into the details of when you particularly go for the modeling part.', 'start': 670.012, 'duration': 7.967}, {'end': 685.005, 'text': 'You may say that, okay, I have used a random forest or I have used an XGBoost model, right? So it will definitely not get limited to that.', 'start': 678.079, 'duration': 6.926}], 'summary': 'The interview lasted 30-40 minutes, focusing on mathematical abilities and modeling experience.', 'duration': 33.813, 'max_score': 651.192, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/Z_4IjTZW14c/pics/Z_4IjTZW14c651192.jpg'}, {'end': 795.205, 'src': 'embed', 'start': 769.915, 'weight': 10, 'content': [{'end': 779.699, 'text': 'So screening task, very first round will be a screening task or there were companies where they may test you on your programming skills as well.', 'start': 769.915, 'duration': 9.784}, {'end': 786.742, 'text': 'It may be a programming question and based on your preference of language, it usually is Python or something.', 'start': 781.039, 'duration': 5.703}, {'end': 790.923, 'text': 'You have to, you know, appear for those, those rounds.', 'start': 787.722, 'duration': 3.201}, {'end': 792.064, 'text': 'So basically a screening round.', 'start': 790.943, 'duration': 1.121}, {'end': 795.205, 'text': 'But how are these coding rounds?', 'start': 792.844, 'duration': 2.361}], 'summary': "Screening rounds may include programming questions, usually in python, testing candidates' skills and language preference.", 'duration': 25.29, 'max_score': 769.915, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/Z_4IjTZW14c/pics/Z_4IjTZW14c769915.jpg'}], 'start': 294.274, 'title': 'Balancing work and learning as a young engineer and data science interview insights', 'summary': 'Discusses the strategies used by a young engineer to balance work and learning, including seizing growth opportunities and learning from experienced professionals, as well as providing insights into data science interviews, covering interview rounds, expectations for candidates with one to two years of experience, and the importance of preparation and confidence.', 'chapters': [{'end': 367.627, 'start': 294.274, 'title': 'Balancing work and learning as a young engineer', 'summary': 'Discusses how a young engineer balanced work and learning at high radius, emphasizing the importance of seizing opportunities for growth and learning from experienced professionals in the data science team.', 'duration': 73.353, 'highlights': ['The importance of seizing opportunities for growth and learning from experienced professionals in the data science team at High Radius.', "The significance of openly expressing interest in new opportunities, as seen in the example of the speaker's transition from a software engineer to a data science role at High Radius.", 'The challenge of balancing the demands of excelling at work while making time for learning and growth as a young professional at High Radius.']}, {'end': 514.686, 'start': 367.987, 'title': 'Balancing work and learning', 'summary': 'Discusses the approach of balancing work and learning, emphasizing the importance of reading blogs during office hours, dedicating time for video lectures and assignments, and being proactive in taking initiative in learning new skills.', 'duration': 146.699, 'highlights': ['Reading blogs during office hours to supplement learning The speaker mentions the importance of developing a reading habit during office hours, specifically reading blogs on Medium Analytics to supplement learning.', 'Dedicating time for video lectures and assignments during weekends The speaker emphasizes the need to allocate dedicated hours during weekends for watching course videos, creating notes, and working on assignments, particularly those involving coding.', 'Emphasizing the importance of persistence in completing assignments The speaker underscores the significance of maintaining persistence in completing assignments, highlighting the impact of consistency in avoiding course delays and retaining knowledge.', 'Being proactive in taking initiative to learn new skills The chapter stresses the value of proactively reaching out to managers to express interest in learning new skills, particularly in the context of machine learning, promoting a proactive approach to career development.']}, {'end': 795.205, 'start': 514.905, 'title': 'Data science interview insights', 'summary': 'Highlights the interview experiences of a data scientist, covering the number of interview rounds, expectations for candidates with one to two years of experience, technical and mathematical assessments, and coding rounds, emphasizing the importance of preparation and confidence.', 'duration': 280.3, 'highlights': ['The candidate had up to eight rounds of interviews for a data science position, demonstrating the variation in interview processes across different companies. The candidate experienced a wide range of interview processes, with some companies conducting only two to three rounds while others, like Simple, had up to eight rounds.', 'Preparation and confidence are emphasized as crucial factors for success in interviews, regardless of the number of rounds, with the importance of clear communication and honesty in the resume highlighted. The importance of being prepared, having clear basics, and honest representation on the resume is stressed, ensuring readiness for varying interview processes and potential technical questions in initial HR calls.', 'The interview process for less experienced candidates typically involves limited depth in mathematical assessments, but a focus on confidence and understanding of specific models and their associated concepts. Less experienced candidates are not expected to demonstrate extensive mathematical depth, but confidence and in-depth understanding of selected models and their components, such as hyperparameters and algorithm differences, are crucial.', 'Coding rounds in data science interviews commonly include assignments related to machine learning problems, with a weekend timeframe for completion, as well as programming skill assessments. Coding rounds often involve machine learning assignments with open-ended problem statements and weekend deadlines, along with assessments of programming skills in languages like Python.']}], 'duration': 500.931, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/Z_4IjTZW14c/pics/Z_4IjTZW14c294274.jpg', 'highlights': ['Seizing growth opportunities and learning from experienced professionals at High Radius.', 'Transitioning from a software engineer to a data science role at High Radius.', 'Balancing work demands with time for learning and growth as a young professional at High Radius.', 'Developing a reading habit during office hours, specifically reading blogs on Medium Analytics.', 'Allocating dedicated hours during weekends for watching course videos, creating notes, and working on assignments.', 'Emphasizing the importance of persistence in completing assignments and avoiding course delays.', 'Proactively reaching out to managers to express interest in learning new skills, particularly in machine learning.', 'Experiencing a wide range of interview processes, with some companies conducting only two to three rounds while others had up to eight.', 'Emphasizing the importance of preparation, confidence, clear communication, and honesty in the resume for interview success.', 'Less experienced candidates are not expected to demonstrate extensive mathematical depth, but confidence and in-depth understanding of selected models are crucial.', 'Coding rounds in data science interviews commonly include machine learning assignments with weekend deadlines and programming skill assessments.']}, {'end': 1126.626, 'segs': [{'end': 896.046, 'src': 'embed', 'start': 852.053, 'weight': 2, 'content': [{'end': 861.699, 'text': 'I mean, from the very first lesson that you told, I still remember the Feynman technique and the learning curve that you taught.', 'start': 852.053, 'duration': 9.646}, {'end': 868.063, 'text': "So maybe it's not relevant to machine learning, but whenever you are doing something, you must do it religiously.", 'start': 861.759, 'duration': 6.304}, {'end': 871.325, 'text': 'And I actually found it to be very useful, the Feynman technique and the learning curve.', 'start': 868.083, 'duration': 3.242}, {'end': 880.878, 'text': 'so that is why, since i did it very religiously, i think it covers the entire breadth of what you need to have as a one,', 'start': 871.815, 'duration': 9.063}, {'end': 884.179, 'text': 'two year or maybe a three year experienced machine learning engineer,', 'start': 880.878, 'duration': 3.301}, {'end': 890.942, 'text': 'and i believe you can crack any kind of screening rounds or the discussion rounds for the companies Got it.', 'start': 884.179, 'duration': 6.763}, {'end': 891.322, 'text': 'Got it.', 'start': 891.022, 'duration': 0.3}, {'end': 896.046, 'text': 'Students who have, or people or professionals who have your sort of experience right?', 'start': 891.342, 'duration': 4.704}], 'summary': 'Religiously applying feynman technique and learning curve covers breadth of 1-3 year machine learning experience, enabling success in screening and discussion rounds for companies.', 'duration': 43.993, 'max_score': 852.053, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/Z_4IjTZW14c/pics/Z_4IjTZW14c852053.jpg'}, {'end': 936.878, 'src': 'embed', 'start': 914.622, 'weight': 0, 'content': [{'end': 922.388, 'text': 'I think I mean I have been pretty fortunate because the market is very generous, which I feel like during, especially this, COVID times, if you see,', 'start': 914.622, 'duration': 7.766}, {'end': 930.193, 'text': 'there was a lot of uncertainty that you know, a lot of people are losing their jobs, and which is very true, but at the same time,', 'start': 922.388, 'duration': 7.805}, {'end': 934.136, 'text': 'I feel the market is also open to people.', 'start': 930.193, 'duration': 3.943}, {'end': 936.878, 'text': 'If you are talented, they are going to hire you.', 'start': 934.597, 'duration': 2.281}], 'summary': 'During covid times, despite job losses, the market remains open for talented individuals.', 'duration': 22.256, 'max_score': 914.622, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/Z_4IjTZW14c/pics/Z_4IjTZW14c914622.jpg'}, {'end': 964.438, 'src': 'heatmap', 'start': 937.419, 'weight': 0.997, 'content': [{'end': 940.921, 'text': "And it's just that you need to take that step and make it happen.", 'start': 937.419, 'duration': 3.502}, {'end': 947.986, 'text': 'So I mean, if we have talk in terms of percentage, uh, i think you can easily get between 70 to 100 percent.', 'start': 941.362, 'duration': 6.624}, {'end': 951.689, 'text': 'uh, raise, um, you know from your current ctc.', 'start': 947.986, 'duration': 3.703}, {'end': 958.254, 'text': "uh, if, if, even if you are one to three years of experience, of course you have to have the skills which i'm sure you have.", 'start': 951.689, 'duration': 6.565}, {'end': 959.995, 'text': "that's why you're able to pull off at least.", 'start': 958.254, 'duration': 1.741}, {'end': 963.538, 'text': 'some of the offers that you got are between 70 to 100 percent lifts.', 'start': 959.995, 'duration': 3.543}, {'end': 964.438, 'text': 'of course, skills matter.', 'start': 963.538, 'duration': 0.9}], 'summary': 'With the right skills, expect a 70-100% raise in your current salary.', 'duration': 27.019, 'max_score': 937.419, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/Z_4IjTZW14c/pics/Z_4IjTZW14c937419.jpg'}, {'end': 1008.187, 'src': 'embed', 'start': 980.973, 'weight': 1, 'content': [{'end': 983.975, 'text': 'respond gracefully to what we have.', 'start': 980.973, 'duration': 3.002}, {'end': 991.823, 'text': 'So another question I had was, imagine students very similar to you with one to two, maybe one to three years experience.', 'start': 984.356, 'duration': 7.467}, {'end': 998.785, 'text': 'who are planning to transition from a non-machine learning data science career to a data science career.', 'start': 992.503, 'duration': 6.282}, {'end': 1001.905, 'text': 'what would you recommend them in terms of their learning journey?', 'start': 998.785, 'duration': 3.12}, {'end': 1008.187, 'text': 'they could be either our course enrolled or not, but, in general, what are the things that you think they should focus on the most,', 'start': 1001.905, 'duration': 6.282}], 'summary': 'Recommendations for transitioning to a data science career for students with 1-3 years experience.', 'duration': 27.214, 'max_score': 980.973, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/Z_4IjTZW14c/pics/Z_4IjTZW14c980973.jpg'}, {'end': 1037.906, 'src': 'embed', 'start': 1017.655, 'weight': 4, 'content': [{'end': 1028.3, 'text': 'I think reading habit is something which you must develop for sure for anyone who may be one, two year experienced, or maybe even later, because,', 'start': 1017.655, 'duration': 10.645}, {'end': 1031.042, 'text': 'as we all know, this particular field is ever growing.', 'start': 1028.3, 'duration': 2.742}, {'end': 1033.483, 'text': 'Machine learning, artificial intelligence, deep learning.', 'start': 1031.123, 'duration': 2.36}, {'end': 1037.906, 'text': 'There are improvements happening every now and then.', 'start': 1033.503, 'duration': 4.403}], 'summary': 'Develop reading habit for career growth in ever-growing fields like machine learning and artificial intelligence.', 'duration': 20.251, 'max_score': 1017.655, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/Z_4IjTZW14c/pics/Z_4IjTZW14c1017655.jpg'}], 'start': 795.805, 'title': 'Transitioning to data science', 'summary': 'Covers similarities between assignments and case studies, relevance of data exploration, comprehensive coverage of machine learning concepts, and potential 70 to 100 percent salary raises during covid times when transitioning from software engineering to data science roles.', 'chapters': [{'end': 913.023, 'start': 795.805, 'title': 'Transition to data science from software engineering', 'summary': 'Discusses the similarities between assignments and case studies, emphasizing the relevance of data exploration and the comprehensive coverage of machine learning concepts, with a focus on the expected compensation lift when transitioning from software engineering to data science roles.', 'duration': 117.218, 'highlights': ['Transition from software engineering to data science involves similar assignments and case studies, emphasizing data exploration and comprehensive coverage of machine learning concepts.', 'The course covers the entire breadth of knowledge needed for a one to three-year experienced machine learning engineer, aiding in cracking screening and discussion rounds for companies.', 'Emphasizing the relevance of the Feynman technique and learning curve, the speaker found the course to be useful for religiously learning and applying the concepts.', 'The expected compensation lift when transitioning from software engineering to data science roles is discussed, asking about the experience in the recent past.', 'The speaker shares their experience and inquires about the expected compensation gain when professionals with one to two years of experience transition from software engineering to data science roles.']}, {'end': 1126.626, 'start': 914.622, 'title': 'Job market and transitioning to data science', 'summary': 'Highlights the generous job market during covid times, with the potential for 70 to 100 percent salary raises, and emphasizes the importance of reading and continuous learning in transitioning to a data science career.', 'duration': 212.004, 'highlights': ['The job market is open to talented individuals, with potential 70 to 100 percent salary raises, even during uncertain times like COVID.', 'Continuous learning and reading habit are crucial for success in transitioning to a data science career, as the field is ever-growing and requires staying updated with improvements in machine learning and artificial intelligence.', 'Stopping learning and reading in the field of data science can lead to becoming obsolete within three to five years, emphasizing the importance of continuous learning and skill upgrading.']}], 'duration': 330.821, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/Z_4IjTZW14c/pics/Z_4IjTZW14c795805.jpg', 'highlights': ['The job market is open to talented individuals, with potential 70 to 100 percent salary raises, even during uncertain times like COVID.', 'Transition from software engineering to data science involves similar assignments and case studies, emphasizing data exploration and comprehensive coverage of machine learning concepts.', 'The course covers the entire breadth of knowledge needed for a one to three-year experienced machine learning engineer, aiding in cracking screening and discussion rounds for companies.', 'Emphasizing the relevance of the Feynman technique and learning curve, the speaker found the course to be useful for religiously learning and applying the concepts.', 'Continuous learning and reading habit are crucial for success in transitioning to a data science career, as the field is ever-growing and requires staying updated with improvements in machine learning and artificial intelligence.']}], 'highlights': ['Potential 70 to 100 percent salary raises when transitioning from software engineering to data science roles during covid times are discussed.', 'Prakar recently landed a job as a data scientist at Simple, a fintech company.', "Prakar's journey from being a student at KAIT to becoming a data scientist at Simple, a fintech company, leveraging the course content, query resolution, assignments, and self case studies, providing insights for students to benefit from the learning journey.", 'Consistent and persistent effort leads to high success rate of over 90%.', 'Proactive participation in case studies and leveraging various learning resources is emphasized for comprehensive learning.', 'Efficient query resolution system with quick response from instructors and team members is highlighted.', 'Balancing work demands with time for learning and growth as a young professional at High Radius.', 'Emphasizing the importance of persistence in completing assignments and avoiding course delays.', 'Proactively reaching out to managers to express interest in learning new skills, particularly in machine learning.', 'The job market is open to talented individuals, with potential 70 to 100 percent salary raises, even during uncertain times like COVID.', 'Transition from software engineering to data science involves similar assignments and case studies, emphasizing data exploration and comprehensive coverage of machine learning concepts.', 'Continuous learning and reading habit are crucial for success in transitioning to a data science career, as the field is ever-growing and requires staying updated with improvements in machine learning and artificial intelligence.']}