title
Ravi Joined 3k Technologies as Data Scientist | Data Scientist Interview | Applied AI Course Review

description
Ravi Joined 3k Technologies as Data Scientist | Data Scientist Interview | Applied AI Course Review #datascience #datascienceinterviews #appliedaicourse -------------------------------------------------------------------------------------------------------------------------------------- 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. This course will focus on practical knowledge more than mathematical or theoretical rigor. That doesn't mean that we would water down the content. We will try and balance the theory and practice while giving more preference to the practical and applied aspects of AI as the course name suggests. Through the course, we will work on 20+ case studies of real world AI problems and datasets to help students grasp the practical details of building AI solutions. For each idea/algorithm in AI, we would provide examples to provide the intuition and show how the idea to used in the real world. For more information, please visit: https://www.appliedaicourse.com/ For any queries you can either drop a mail to team@appliedaicourse.com or call us at +91 8106-920-029 or +91 6301-939-583 Facebook: https://www.facebook.com/appliedaicourse Soundcloud: https://soundcloud.com/applied-ai-course

detail
{'title': 'Ravi Joined 3k Technologies as Data Scientist | Data Scientist Interview | Applied AI Course Review', 'heatmap': [{'end': 848.466, 'start': 802.111, 'weight': 0.957}], 'summary': 'Ravi ranjan kumar completed 30 mandatory assignments, 2 optional assignments, and joined 3k technologies as a data scientist after finishing his btech from heritage institute of technology; students effectively balanced education and machine learning course, achieving proficiency in python, pandas, and matplotlib; the chapter covers a data science interview experience leading to a placement at 3k after two rounds, emphasizing honesty in projects for interviews and provides insights on interview focus areas; the chapter also emphasizes the significance of course preparation and staying motivated during a data science course.', 'chapters': [{'end': 91.743, 'segs': [{'end': 46.291, 'src': 'embed', 'start': 11.186, 'weight': 0, 'content': [{'end': 12.107, 'text': 'Thank you very much for joining us.', 'start': 11.186, 'duration': 0.921}, {'end': 19.674, 'text': 'Today we have Ravi Ranjan Kumar, who is one of our students, who has just finished his undergraduate degree in computer science,', 'start': 12.367, 'duration': 7.307}, {'end': 22.296, 'text': "who's just finished his BTech from Heritage Institute of Technology.", 'start': 19.674, 'duration': 2.622}, {'end': 25.399, 'text': 'And he has been our student for the last year or so.', 'start': 23.077, 'duration': 2.322}, {'end': 35.548, 'text': 'And just very recently, I think sometime in September of 2020, he joined 3K Technologies as a data scientist just right out of his college.', 'start': 25.94, 'duration': 9.608}, {'end': 45.511, 'text': "And I'm also very happy for you because you've completed all the assignments, the two optional assignments and the 30 mandatory assignments.", 'start': 36.349, 'duration': 9.162}, {'end': 46.291, 'text': "That's very good.", 'start': 45.551, 'duration': 0.74}], 'summary': 'Ravi ranjan kumar, a recent graduate, joined 3k technologies as a data scientist after completing 32 assignments.', 'duration': 35.105, 'max_score': 11.186, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/qz-ewr_rJKY/pics/qz-ewr_rJKY11186.jpg'}], 'start': 11.186, 'title': "Ravi's journey into data science", 'summary': "Highlights ravi ranjan kumar's completion of 30 mandatory assignments, 2 optional assignments, and his employment as a data scientist at 3k technologies in september 2020 after finishing his btech from heritage institute of technology.", 'chapters': [{'end': 91.743, 'start': 11.186, 'title': "Ravi's journey into data science", 'summary': "Highlights ravi ranjan kumar's successful completion of 30 mandatory assignments and 2 optional assignments, leading to his employment as a data scientist at 3k technologies in september 2020, after finishing his btech from heritage institute of technology, and his discussion about his journey into data science.", 'duration': 80.557, 'highlights': ['Ravi completed 30 mandatory assignments and 2 optional assignments, leading to his employment as a data scientist at 3K Technologies in September 2020.', 'Ravi finished his BTech from Heritage Institute of Technology.', 'Ravi joined 3K Technologies as a data scientist just after finishing his college.', "Ravi has been the speaker's student for the last year or so.", "The speaker discusses Ravi's journey into data science and how he successfully completed his assignments."]}], 'duration': 80.557, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/qz-ewr_rJKY/pics/qz-ewr_rJKY11186.jpg', 'highlights': ['Ravi completed 30 mandatory assignments and 2 optional assignments, leading to his employment as a data scientist at 3K Technologies in September 2020.', 'Ravi finished his BTech from Heritage Institute of Technology.', 'Ravi joined 3K Technologies as a data scientist just after finishing his college.']}, {'end': 606.114, 'segs': [{'end': 126.487, 'src': 'embed', 'start': 91.843, 'weight': 0, 'content': [{'end': 96.807, 'text': 'So one thing that I wanted to understand was I was just going through your assignments before this session.', 'start': 91.843, 'duration': 4.964}, {'end': 102.21, 'text': 'You completed all the assignments, including the optional assignments in the last year or so.', 'start': 97.467, 'duration': 4.743}, {'end': 104.712, 'text': 'And you are doing this parallel to your BTEC.', 'start': 102.731, 'duration': 1.981}, {'end': 106.954, 'text': "You're in BTEC final year, right, when you're doing all this.", 'start': 104.732, 'duration': 2.222}, {'end': 112.501, 'text': 'And I also remember seeing you in a lot of live sessions, actively participating and things like that.', 'start': 107.819, 'duration': 4.682}, {'end': 118.224, 'text': 'So I wanted to understand how have you managed your BTEC final year, all the pressures and all the,', 'start': 112.541, 'duration': 5.683}, {'end': 124.366, 'text': 'all the activities that you have in BTEC final year, and successfully completed the videos, the assignments,', 'start': 118.224, 'duration': 6.142}, {'end': 126.487, 'text': 'participated in all the live sessions very actively.', 'start': 124.366, 'duration': 2.121}], 'summary': 'The student successfully completed all assignments, including optional ones, while managing btec final year and actively participating in live sessions.', 'duration': 34.644, 'max_score': 91.843, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/qz-ewr_rJKY/pics/qz-ewr_rJKY91843.jpg'}, {'end': 304.185, 'src': 'embed', 'start': 244.642, 'weight': 2, 'content': [{'end': 253.467, 'text': 'yeah, there is no escaping putting in the effort that we have to put in, because machine learning is a vast field where effort is like mandatory.', 'start': 244.642, 'duration': 8.825}, {'end': 260.517, 'text': 'yeah, so, uh, in the initial period i have to put a lot of effort, like uh, four to five hours.', 'start': 253.467, 'duration': 7.05}, {'end': 263.981, 'text': 'Yeah, repeating the things again and again.', 'start': 260.938, 'duration': 3.043}, {'end': 271.307, 'text': "Because, you know, you can't get it in one, because everything is new for me.", 'start': 265.042, 'duration': 6.265}, {'end': 273.669, 'text': "Yes, that's totally new for me.", 'start': 271.487, 'duration': 2.182}, {'end': 279.154, 'text': 'So repeating the things is stacking with the errors when you are doing the code part,', 'start': 274.109, 'duration': 5.045}, {'end': 284.538, 'text': 'is stacking with the errors and getting to getting done with your own trying to.', 'start': 279.154, 'duration': 5.384}, {'end': 285.639, 'text': 'so it takes time.', 'start': 284.538, 'duration': 1.101}, {'end': 296.778, 'text': 'So but after two months, I am now feeling comfortable with it, like dealing with errors, like going through the course videos.', 'start': 286.1, 'duration': 10.678}, {'end': 304.185, 'text': 'So what I have did is I have made my notes, my own handwritten notes.', 'start': 297.499, 'duration': 6.686}], 'summary': 'Initial effort of 4-5 hours paid off; comfortable with errors after 2 months.', 'duration': 59.543, 'max_score': 244.642, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/qz-ewr_rJKY/pics/qz-ewr_rJKY244642.jpg'}, {'end': 473.051, 'src': 'embed', 'start': 441.215, 'weight': 3, 'content': [{'end': 442.375, 'text': "That's actually a very good thing.", 'start': 441.215, 'duration': 1.16}, {'end': 455.258, 'text': 'So basically, after doing five or six assignments, what I feel is that I am very much comfortable with Python, Pandas, and Matplotlib.', 'start': 443.556, 'duration': 11.702}, {'end': 459.086, 'text': 'um seaborne, like basic basic.', 'start': 456.125, 'duration': 2.961}, {'end': 460.947, 'text': 'yeah, sk learn, psychic, learn.', 'start': 459.086, 'duration': 1.861}, {'end': 464.088, 'text': 'so basic libraries, i am very much comfortable with it.', 'start': 460.947, 'duration': 3.141}, {'end': 473.051, 'text': 'i can take a data, i can manipulate it, i can read it, i can transform it, as whenever i can get stuck.', 'start': 464.088, 'duration': 8.963}], 'summary': 'After 5-6 assignments, comfortable with python, pandas, and matplotlib for data manipulation and transformation.', 'duration': 31.836, 'max_score': 441.215, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/qz-ewr_rJKY/pics/qz-ewr_rJKY441215.jpg'}], 'start': 91.843, 'title': "Student's success in balancing education", 'summary': 'Highlights a student successfully managing btec final year assignments and live sessions, and another individual effectively balancing college and a machine learning course by dedicating 4-5 hours daily and achieving proficiency in python, pandas, and matplotlib.', 'chapters': [{'end': 126.487, 'start': 91.843, 'title': "Student's successful management", 'summary': 'Discusses a student who successfully completed all assignments, including optional ones, while in the final year of btec, actively participating in live sessions, managing the pressures of btec final year.', 'duration': 34.644, 'highlights': ['The student successfully completed all assignments, including optional ones, while in the final year of BTEC, demonstrating exceptional time management and dedication.', 'The student actively participated in a lot of live sessions, showcasing strong engagement and commitment alongside BTEC final year pressures.']}, {'end': 606.114, 'start': 126.527, 'title': 'Managing college and machine learning course', 'summary': 'Describes how the speaker managed to balance college and a machine learning course by dedicating 4-5 hours daily, focusing on assignments to gain proficiency in python, pandas, and matplotlib, and achieving comfort with coding after two months of dedicated effort.', 'duration': 479.587, 'highlights': ['The speaker dedicated 4-5 hours daily for the machine learning course, emphasizing the mandatory effort required in the vast field of machine learning. The speaker highlights the significant effort put into the machine learning course, quantifying the daily dedication.', 'The speaker focused on assignments to gain proficiency in Python, Pandas, and Matplotlib, and felt comfortable with these tools after completing five or six assignments. The speaker emphasizes the importance of assignments in gaining proficiency in specific tools, quantifying the impact after completing a specific number of assignments.', 'After two months of dedicated effort, the speaker achieved comfort with coding, handling errors smoothly and creating handwritten notes for effective revision. The speaker quantifies the time required to achieve comfort with coding and highlights effective revision strategies.']}], 'duration': 514.271, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/qz-ewr_rJKY/pics/qz-ewr_rJKY91843.jpg', 'highlights': ['The student successfully completed all BTEC assignments, including optional ones, demonstrating exceptional time management and dedication.', 'The student actively participated in numerous live sessions, showcasing strong engagement and commitment alongside BTEC final year pressures.', 'The speaker dedicated 4-5 hours daily for the machine learning course, emphasizing the mandatory effort required in the vast field of machine learning.', 'The speaker focused on assignments to gain proficiency in Python, Pandas, and Matplotlib, and felt comfortable with these tools after completing five or six assignments.', 'After two months of dedicated effort, the speaker achieved comfort with coding, handling errors smoothly and creating handwritten notes for effective revision.']}, {'end': 1040.606, 'segs': [{'end': 681.658, 'src': 'embed', 'start': 632.305, 'weight': 1, 'content': [{'end': 640.012, 'text': 'I think you were part of two interviews of two different companies, one of which is 3K, where you got placed as a data scientist.', 'start': 632.305, 'duration': 7.707}, {'end': 649.321, 'text': 'So, could you walk through your interview experience and what parts or what concepts were more focused on, what concepts, not so much,', 'start': 640.172, 'duration': 9.149}, {'end': 649.982, 'text': 'and things like that?', 'start': 649.321, 'duration': 0.661}, {'end': 655.21, 'text': 'yeah, so, basically, i had two round of interviews.', 'start': 652.028, 'duration': 3.182}, {'end': 660.455, 'text': 'uh, first one is telephonic one and the second is, uh, on zoom, zoom itself.', 'start': 655.21, 'duration': 5.245}, {'end': 669.161, 'text': 'so in the first round, basically, um, they started with my projects like, uh, what i have did in the project.', 'start': 660.455, 'duration': 8.706}, {'end': 673.905, 'text': 'so i have explained are these the case studies that you have done?', 'start': 669.161, 'duration': 4.744}, {'end': 676.227, 'text': 'are these the case studies that you have done for mentorship?', 'start': 673.905, 'duration': 2.322}, {'end': 679.015, 'text': 'okay, okay, yeah, yeah, yeah.', 'start': 676.227, 'duration': 2.788}, {'end': 681.658, 'text': 'so, basically, we have two projects.', 'start': 679.015, 'duration': 2.643}], 'summary': 'The interviewee had two rounds of interviews, one telephonic and one on zoom, and was placed as a data scientist at 3k.', 'duration': 49.353, 'max_score': 632.305, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/qz-ewr_rJKY/pics/qz-ewr_rJKY632305.jpg'}, {'end': 760.891, 'src': 'embed', 'start': 728.935, 'weight': 3, 'content': [{'end': 735.078, 'text': 'So, yeah, so basically my suggestion here for the student is like, be honest with your project.', 'start': 728.935, 'duration': 6.143}, {'end': 738.639, 'text': 'Yeah, they are your real jewels, basically.', 'start': 735.578, 'duration': 3.061}, {'end': 750.061, 'text': 'So projects do not try to, yeah, basically do not try to go over with like just copying pasting your project.', 'start': 738.679, 'duration': 11.382}, {'end': 760.891, 'text': 'So I need to focus here that the first thing that interviewer will have focus on that is your project basically.', 'start': 750.942, 'duration': 9.949}], 'summary': 'Honesty in presenting projects is crucial for student success and impressing interviewers.', 'duration': 31.956, 'max_score': 728.935, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/qz-ewr_rJKY/pics/qz-ewr_rJKY728935.jpg'}, {'end': 848.466, 'src': 'heatmap', 'start': 784.556, 'weight': 0, 'content': [{'end': 791.461, 'text': "so even if i were an interviewer, i'll first check whether you understand what you have done and if you have done it really yourself or not.", 'start': 784.556, 'duration': 6.905}, {'end': 793.062, 'text': 'those are basic checks.', 'start': 791.461, 'duration': 1.601}, {'end': 794.043, 'text': 'yeah, yeah, of yours check.', 'start': 793.062, 'duration': 0.981}, {'end': 797.109, 'text': 'so so, yeah.', 'start': 796.269, 'duration': 0.84}, {'end': 802.111, 'text': 'so, basically they are also checking the same thing, like they asked.', 'start': 797.109, 'duration': 5.002}, {'end': 809.274, 'text': 'first asked about my project, then then they asked simple things like do you have knowledge of deep learning?', 'start': 802.111, 'duration': 7.163}, {'end': 813.356, 'text': 'yeah, so they asked me about convolutional neural networks.', 'start': 809.274, 'duration': 4.082}, {'end': 816.617, 'text': 'basically, they asked me about data augmentation.', 'start': 813.356, 'duration': 3.261}, {'end': 817.898, 'text': 'what is data augmentation?', 'start': 816.617, 'duration': 1.281}, {'end': 821.739, 'text': 'how, how you can do it without using libraries.', 'start': 817.898, 'duration': 3.841}, {'end': 824.24, 'text': 'very good question, very good question.', 'start': 821.739, 'duration': 2.501}, {'end': 831.278, 'text': 'so So, basically my first interview was almost okay.', 'start': 824.24, 'duration': 7.038}, {'end': 833.079, 'text': 'I have answered every question.', 'start': 831.438, 'duration': 1.641}, {'end': 837.161, 'text': 'They are quite impressed with me.', 'start': 834.379, 'duration': 2.782}, {'end': 848.466, 'text': 'And in the second interview, basically, uh, what there is a senior, senior data scientist from the company.', 'start': 837.341, 'duration': 11.125}], 'summary': 'Interviewer checked understanding and knowledge. impressed in first interview. senior data scientist in second interview.', 'duration': 52.605, 'max_score': 784.556, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/qz-ewr_rJKY/pics/qz-ewr_rJKY784556.jpg'}, {'end': 957.98, 'src': 'embed', 'start': 864.949, 'weight': 6, 'content': [{'end': 872.298, 'text': 'so basically, the students should focus much and more on the project, like theory behind it,', 'start': 864.949, 'duration': 7.349}, {'end': 877.023, 'text': 'the mathematics behind it and the coding part that you have coded.', 'start': 872.298, 'duration': 4.725}, {'end': 880.467, 'text': 'you should understand each and every line of the code.', 'start': 877.023, 'duration': 3.444}, {'end': 882.269, 'text': 'this is, this is the most important thing.', 'start': 880.467, 'duration': 1.802}, {'end': 885.856, 'text': 'so i i have.', 'start': 883.655, 'duration': 2.201}, {'end': 894.181, 'text': 'then, after that, he asked me to download the data and to perform the some questions over it.', 'start': 885.856, 'duration': 8.325}, {'end': 897.163, 'text': 'like he asked me to manipulate the data.', 'start': 894.181, 'duration': 2.982}, {'end': 904.888, 'text': 'like he asked me to write my own code for me, median mode percentiles, etc.', 'start': 897.163, 'duration': 7.725}, {'end': 911.552, 'text': 'then then he asked me about anomaly detection, like fraud detection.', 'start': 904.888, 'duration': 6.664}, {'end': 920.753, 'text': 'uh, yeah, yeah, basically you are given the data and how you can um come up with a solution.', 'start': 912.729, 'duration': 8.024}, {'end': 927.457, 'text': 'uh, in both way, like in supervised learning, yeah, if levels are there, and in in unsupervised learning.', 'start': 920.753, 'duration': 6.704}, {'end': 929.118, 'text': 'so what will be your approach?', 'start': 927.457, 'duration': 1.661}, {'end': 931.579, 'text': 'so he wanted to know the end-to-end solution.', 'start': 929.118, 'duration': 2.461}, {'end': 938.723, 'text': 'basically, uh, for the in the both cases, basically in in in supervised learning, in unsupervised learning?', 'start': 931.579, 'duration': 7.144}, {'end': 951.49, 'text': 'uh so, uh, i after that, uh so, he asked me about how, how, how, i can deal with the imbalance data set.', 'start': 941.607, 'duration': 9.883}, {'end': 954.652, 'text': 'what are, what are the techniques to deal with imbalance data set?', 'start': 951.49, 'duration': 3.162}, {'end': 957.98, 'text': 'yeah, just as much.', 'start': 956.519, 'duration': 1.461}], 'summary': 'Students should focus on project theory, mathematics, and coding. they were asked to manipulate data, write code for median, mode, percentiles, and perform anomaly detection for fraud detection using supervised and unsupervised learning.', 'duration': 93.031, 'max_score': 864.949, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/qz-ewr_rJKY/pics/qz-ewr_rJKY864949.jpg'}, {'end': 998.28, 'src': 'embed', 'start': 976.708, 'weight': 9, 'content': [{'end': 987.037, 'text': 'so very happy to see some of our younger students who are joining these companies being mentored by our older students have successfully finished and transitioned to machine learning careers.', 'start': 976.708, 'duration': 10.329}, {'end': 990.042, 'text': "that feels, that feels so good, and i'm happy.", 'start': 987.037, 'duration': 3.005}, {'end': 998.28, 'text': 'just convey my regards to uh sharath also, and i hope you both have a great collaboration and work together very well, Cool.', 'start': 990.042, 'duration': 8.238}], 'summary': 'Successful transition of younger students to ml careers, mentored by older students. positive feedback and wishes for collaboration.', 'duration': 21.572, 'max_score': 976.708, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/qz-ewr_rJKY/pics/qz-ewr_rJKY976708.jpg'}, {'end': 1056.558, 'src': 'embed', 'start': 1020.846, 'weight': 10, 'content': [{'end': 1022.787, 'text': 'These are not experienced professionals.', 'start': 1020.846, 'duration': 1.941}, {'end': 1026.748, 'text': 'These are mostly BTEC third year, final year, or just completed BTEC final year.', 'start': 1022.827, 'duration': 3.921}, {'end': 1034.397, 'text': 'so what would your recommendations be for them, for these freshers, in terms of transitioning to machine learning careers?', 'start': 1027.228, 'duration': 7.169}, {'end': 1036.56, 'text': 'what do you think is most important for them?', 'start': 1034.397, 'duration': 2.163}, {'end': 1040.606, 'text': 'for the faces like i have also gone through the same journey.', 'start': 1036.56, 'duration': 4.046}, {'end': 1045.887, 'text': 'i have started the course in the sixth semester itself and yeah.', 'start': 1040.606, 'duration': 5.281}, {'end': 1056.558, 'text': 'so what i suggest is, if you have opted the course, then just follow, just follow the course, complete the theory part ticket, complete the theory,', 'start': 1045.887, 'duration': 10.671}], 'summary': 'Recommendations for btec graduates transitioning to machine learning: follow and complete the theory part of the course.', 'duration': 35.712, 'max_score': 1020.846, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/qz-ewr_rJKY/pics/qz-ewr_rJKY1020846.jpg'}], 'start': 606.114, 'title': 'Data science interviews and honesty in projects', 'summary': 'Covers a data science interview experience leading to a placement at 3k after two rounds, emphasizes honesty in projects for interviews, and provides insights on interview focus areas, question types, and key points such as coding proficiency and anomaly detection.', 'chapters': [{'end': 728.274, 'start': 606.114, 'title': 'Data science interview experience', 'summary': 'Discusses a data science interview experience, including the interview process, focus areas, and question types, with the candidate successfully securing a placement as a data scientist at 3k after two rounds of interviews.', 'duration': 122.16, 'highlights': ['The candidate had two rounds of interviews, one telephonic and the other on Zoom, with a detailed discussion of their projects and case studies forming a significant part of the interview process.', "The first interview round focused on the candidate's projects, including in-depth discussions on the projects mentioned in their resume, covering topics such as data, input, output, metrics, and confusion matrix.", "The interviewers engaged in a detailed examination of the candidate's projects to assess their understanding and practical application of the concepts, ensuring the candidate's competence in the field of data science."]}, {'end': 837.161, 'start': 728.935, 'title': 'Honesty in projects for interviews', 'summary': "Emphasizes the importance of being honest about one's projects in interviews, highlighting that interviewers will focus on the candidate's understanding and original work, as well as providing specific examples of interview questions and the candidate's performance.", 'duration': 108.226, 'highlights': ["Interviewers focus on candidates' understanding and original work in projects, as they can quickly end the conversation if the candidate lacks knowledge (quantifiable data: interviewers' behavior).", "Specific examples of interview questions about deep learning, such as convolutional neural networks and data augmentation, are provided, showcasing the candidate's performance in the first interview (quantifiable data: interview questions and candidate's performance).", "Emphasizing the importance of honesty in projects for interviews, as projects are considered the candidate's 'real jewels' and attempting to deceive by copying and pasting can have negative consequences (quantifiable data: emphasis on honesty in projects)."]}, {'end': 1040.606, 'start': 837.341, 'title': 'Data science interview insights', 'summary': 'Highlights the key points from a data science interview, including the focus on project understanding, coding proficiency, data manipulation, anomaly detection, and transitioning from academia to a machine learning career.', 'duration': 203.265, 'highlights': ['The importance of understanding the theory, mathematics, and coding behind the project, emphasizing the need to comprehend each line of code.', 'Being asked to download and manipulate data, write code for median, mode, percentiles, and perform anomaly detection, illustrating practical application of skills.', 'The significance of providing end-to-end solutions in both supervised and unsupervised learning, indicating the depth of understanding and practical approach required.', 'The mentorship and collaboration between younger students transitioning to machine learning careers and older students who have successfully transitioned, highlighting the supportive learning community.', 'Recommendations for freshers in transitioning to machine learning careers, addressing the specific needs and challenges faced by individuals in academia or early career stages.']}], 'duration': 434.492, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/qz-ewr_rJKY/pics/qz-ewr_rJKY606114.jpg', 'highlights': ["The interviewers engaged in a detailed examination of the candidate's projects to assess their understanding and practical application of the concepts, ensuring the candidate's competence in the field of data science.", "The first interview round focused on the candidate's projects, including in-depth discussions on the projects mentioned in their resume, covering topics such as data, input, output, metrics, and confusion matrix.", 'The candidate had two rounds of interviews, one telephonic and the other on Zoom, with a detailed discussion of their projects and case studies forming a significant part of the interview process.', "Interviewers focus on candidates' understanding and original work in projects, as they can quickly end the conversation if the candidate lacks knowledge (quantifiable data: interviewers' behavior).", "Specific examples of interview questions about deep learning, such as convolutional neural networks and data augmentation, are provided, showcasing the candidate's performance in the first interview (quantifiable data: interview questions and candidate's performance).", "Emphasizing the importance of honesty in projects for interviews, as projects are considered the candidate's 'real jewels' and attempting to deceive by copying and pasting can have negative consequences (quantifiable data: emphasis on honesty in projects).", 'The importance of understanding the theory, mathematics, and coding behind the project, emphasizing the need to comprehend each line of code.', 'Being asked to download and manipulate data, write code for median, mode, percentiles, and perform anomaly detection, illustrating practical application of skills.', 'The significance of providing end-to-end solutions in both supervised and unsupervised learning, indicating the depth of understanding and practical approach required.', 'The mentorship and collaboration between younger students transitioning to machine learning careers and older students who have successfully transitioned, highlighting the supportive learning community.', 'Recommendations for freshers in transitioning to machine learning careers, addressing the specific needs and challenges faced by individuals in academia or early career stages.']}, {'end': 1387.994, 'segs': [{'end': 1093.37, 'src': 'embed', 'start': 1040.606, 'weight': 0, 'content': [{'end': 1045.887, 'text': 'i have started the course in the sixth semester itself and yeah.', 'start': 1040.606, 'duration': 5.281}, {'end': 1056.558, 'text': 'so what i suggest is, if you have opted the course, then just follow, just follow the course, complete the theory part ticket, complete the theory,', 'start': 1045.887, 'duration': 10.671}, {'end': 1060.462, 'text': 'then go for the assignments assignments to do so.', 'start': 1056.558, 'duration': 3.904}, {'end': 1065.907, 'text': 'if you have opted the course, be honest with it, give time to it, revise the.', 'start': 1060.462, 'duration': 5.445}, {'end': 1071.893, 'text': 'basically revise the course, and the most important is, prepare your own notes.', 'start': 1065.907, 'duration': 5.986}, {'end': 1074.335, 'text': 'basically, prepare your own handwritten notes.', 'start': 1071.893, 'duration': 2.442}, {'end': 1083.139, 'text': 'i have prepared my own notes and i used to revise it on a regular basis, like after two weeks or after a month.', 'start': 1074.335, 'duration': 8.804}, {'end': 1084.46, 'text': 'I used to revise it.', 'start': 1083.379, 'duration': 1.081}, {'end': 1087.404, 'text': 'And yeah, revision takes time.', 'start': 1085.722, 'duration': 1.682}, {'end': 1093.37, 'text': 'But after repetition of the revision, the time is reduced.', 'start': 1087.564, 'duration': 5.806}], 'summary': 'Start course in 6th semester, complete theory, do assignments, be honest, prepare own notes, revise regularly for better retention.', 'duration': 52.764, 'max_score': 1040.606, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/qz-ewr_rJKY/pics/qz-ewr_rJKY1040606.jpg'}, {'end': 1186.143, 'src': 'embed', 'start': 1149.18, 'weight': 2, 'content': [{'end': 1156.724, 'text': 'basically, uh, seeing him live and solving our doubts, and so so.', 'start': 1149.18, 'duration': 7.544}, {'end': 1164.689, 'text': 'so seeing the yeah, basically seeing the energy of others, you can, you can gain the energy yourself.', 'start': 1156.724, 'duration': 7.965}, {'end': 1166.69, 'text': 'so, basically, that boosted me.', 'start': 1164.689, 'duration': 2.001}, {'end': 1167.711, 'text': 'so what i did?', 'start': 1166.69, 'duration': 1.021}, {'end': 1169.152, 'text': 'i keep motivated yourself.', 'start': 1167.711, 'duration': 1.441}, {'end': 1172.123, 'text': 'Verma, sir, is coming live.', 'start': 1170.481, 'duration': 1.642}, {'end': 1180.976, 'text': 'Many people, what they did is they tried to leave the online part.', 'start': 1172.504, 'duration': 8.472}, {'end': 1186.143, 'text': 'Like the online session, they tried to escape from that.', 'start': 1181.276, 'duration': 4.867}], 'summary': "Verma's live session boosted my motivation, helping me stay committed despite others' attempts to avoid online sessions.", 'duration': 36.963, 'max_score': 1149.18, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/qz-ewr_rJKY/pics/qz-ewr_rJKY1149180.jpg'}, {'end': 1340.188, 'src': 'embed', 'start': 1313.735, 'weight': 3, 'content': [{'end': 1322.547, 'text': 'depth in content, basically is that um interview questions are, are, are in, from it, like like.', 'start': 1313.735, 'duration': 8.812}, {'end': 1332.423, 'text': 'if you go through the course, uh, then there you will note, you will basically crack any type of interview related to machine learning or data center.', 'start': 1322.547, 'duration': 9.876}, {'end': 1340.188, 'text': 'if you, if you are honest with the project, sorry, if you are, if you are honest with the course, basically, so you can, you can.', 'start': 1332.423, 'duration': 7.765}], 'summary': 'Course provides depth in content, enabling success in machine learning interviews.', 'duration': 26.453, 'max_score': 1313.735, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/qz-ewr_rJKY/pics/qz-ewr_rJKY1313735.jpg'}], 'start': 1040.606, 'title': 'Effective course preparation tips and staying motivated in data science course', 'summary': 'Emphasizes the significance of course preparation, emphasizing completion of theory, assignments, and regular revision, with a focus on handwritten notes and their impact on reducing study time. it also highlights the importance of staying motivated during a data science course, discussing the benefits of live sessions and emphasizing the need to focus on learning rather than worrying about job prospects, with a recommendation to complete the course and put in the effort before thinking about job opportunities.', 'chapters': [{'end': 1118.798, 'start': 1040.606, 'title': 'Effective course preparation tips', 'summary': 'Emphasizes the importance of following the course, completing theory, doing assignments, being honest and revising regularly with a focus on making handwritten notes and the impact of repetitive revision on reducing study time.', 'duration': 78.192, 'highlights': ['The importance of completing theory and doing assignments to succeed in the course, along with being honest and allocating time for revision.', 'Emphasizing the significance of preparing handwritten notes and regularly revising them to enhance learning and retention.', 'Highlighting the impact of repetitive revision in reducing study time and the importance of revisiting the course content regularly.']}, {'end': 1387.994, 'start': 1118.798, 'title': 'Staying motivated in data science course', 'summary': 'Highlights the importance of staying motivated during a data science course, discusses the benefits of live sessions, and emphasizes the need to focus on learning rather than worrying about job prospects, with a recommendation to complete the course and put in the effort before thinking about job opportunities.', 'duration': 269.196, 'highlights': ["The importance of staying motivated during a data science course and the benefits of live sessions for boosting energy and learning (e.g., Verma Sir's live sessions and the positive impact on motivation).", 'Emphasizing the need to focus on learning rather than worrying about job prospects, with a recommendation to complete the course and put in the effort before thinking about job opportunities.', 'The depth of course content and its relevance for cracking interviews in machine learning or data science roles, with a suggestion to be honest with the course and complete it before seeking job opportunities.', "Acknowledgment and appreciation of the speaker's journey and experiences in transitioning from a BTEC student to a data scientist, with best wishes for continued success in the field of machine learning and data science."]}], 'duration': 347.388, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/qz-ewr_rJKY/pics/qz-ewr_rJKY1040606.jpg', 'highlights': ['Emphasizing the significance of preparing handwritten notes and regularly revising them to enhance learning and retention.', 'The importance of completing theory and doing assignments to succeed in the course, along with being honest and allocating time for revision.', "The importance of staying motivated during a data science course and the benefits of live sessions for boosting energy and learning (e.g., Verma Sir's live sessions and the positive impact on motivation).", 'The depth of course content and its relevance for cracking interviews in machine learning or data science roles, with a suggestion to be honest with the course and complete it before seeking job opportunities.']}], 'highlights': ['Ravi completed 30 mandatory assignments and 2 optional assignments, leading to his employment as a data scientist at 3K Technologies in September 2020.', 'The student successfully completed all BTEC assignments, including optional ones, demonstrating exceptional time management and dedication.', "The interviewers engaged in a detailed examination of the candidate's projects to assess their understanding and practical application of the concepts, ensuring the candidate's competence in the field of data science.", "The first interview round focused on the candidate's projects, including in-depth discussions on the projects mentioned in their resume, covering topics such as data, input, output, metrics, and confusion matrix.", "Interviewers focus on candidates' understanding and original work in projects, as they can quickly end the conversation if the candidate lacks knowledge (quantifiable data: interviewers' behavior).", "Specific examples of interview questions about deep learning, such as convolutional neural networks and data augmentation, are provided, showcasing the candidate's performance in the first interview (quantifiable data: interview questions and candidate's performance).", "Emphasizing the importance of honesty in projects for interviews, as projects are considered the candidate's 'real jewels' and attempting to deceive by copying and pasting can have negative consequences (quantifiable data: emphasis on honesty in projects).", 'The importance of understanding the theory, mathematics, and coding behind the project, emphasizing the need to comprehend each line of code.', 'Being asked to download and manipulate data, write code for median, mode, percentiles, and perform anomaly detection, illustrating practical application of skills.', 'The significance of providing end-to-end solutions in both supervised and unsupervised learning, indicating the depth of understanding and practical approach required.', 'The mentorship and collaboration between younger students transitioning to machine learning careers and older students who have successfully transitioned, highlighting the supportive learning community.', 'Recommendations for freshers in transitioning to machine learning careers, addressing the specific needs and challenges faced by individuals in academia or early career stages.', 'Emphasizing the significance of preparing handwritten notes and regularly revising them to enhance learning and retention.', 'The importance of completing theory and doing assignments to succeed in the course, along with being honest and allocating time for revision.', "The importance of staying motivated during a data science course and the benefits of live sessions for boosting energy and learning (e.g., Verma Sir's live sessions and the positive impact on motivation).", 'The depth of course content and its relevance for cracking interviews in machine learning or data science roles, with a suggestion to be honest with the course and complete it before seeking job opportunities.', 'Ravi finished his BTech from Heritage Institute of Technology.', 'Ravi joined 3K Technologies as a data scientist just after finishing his college.', 'The student actively participated in numerous live sessions, showcasing strong engagement and commitment alongside BTEC final year pressures.', 'The speaker dedicated 4-5 hours daily for the machine learning course, emphasizing the mandatory effort required in the vast field of machine learning.', 'The speaker focused on assignments to gain proficiency in Python, Pandas, and Matplotlib, and felt comfortable with these tools after completing five or six assignments.', 'After two months of dedicated effort, the speaker achieved comfort with coding, handling errors smoothly and creating handwritten notes for effective revision.']}