title
Saurabh Sinha Assistant Manager in Data Science at Concentrix | Data Scientist | Applied AI Course

description
Saurabh Sinha Assistant Manager in Data Science at Concentrix | Data Scientist | Applied AI Course #datascience #concentrixinterviews #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': 'Saurabh Sinha Assistant Manager in Data Science at Concentrix | Data Scientist | Applied AI Course', 'heatmap': [{'end': 269.044, 'start': 242.656, 'weight': 0.801}, {'end': 353.24, 'start': 337.767, 'weight': 0.756}, {'end': 395.988, 'start': 369.513, 'weight': 0.8}, {'end': 682.024, 'start': 647.213, 'weight': 1}, {'end': 989.852, 'start': 975.623, 'weight': 0.855}], 'summary': 'Saurabh sinha successfully transitioned to a data science role at concentrix after over seven years of experience and mca graduation in 2013. the applied ai course significantly improved coding skills and provided timely support in implementing algorithms. the video also provides insights into completing a data science course, connecting ai concepts with real-world business problems, and a data science job interview experience at concentrix involving python test rounds. the interview experience emphasizes the significance of practical projects, end-to-end understanding, statistics, deep learning, and career transition in data science.', 'chapters': [{'end': 322.776, 'segs': [{'end': 35.289, 'src': 'embed', 'start': 11.664, 'weight': 0, 'content': [{'end': 19.386, 'text': 'We have Saurabh Sinha, one of our learners and students, who has successfully transitioned to a career in data science.', 'start': 11.664, 'duration': 7.722}, {'end': 30.888, 'text': 'Just to give you some background, Saurabh graduated with MCA in 2013, and he has close to seven years of experience at Siemens and Cerner Corporation.', 'start': 19.886, 'duration': 11.002}, {'end': 35.289, 'text': 'Most recently at Cerner Corporation, he has spent about just over five years.', 'start': 31.168, 'duration': 4.121}], 'summary': 'Saurabh, with mca in 2013, transitioned to data science after 7 years at siemens and cerner.', 'duration': 23.625, 'max_score': 11.664, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/B0XtJl5cTH8/pics/B0XtJl5cTH811664.jpg'}, {'end': 94.162, 'src': 'embed', 'start': 64.929, 'weight': 1, 'content': [{'end': 67.671, 'text': 'Again, he has seven years of experience, which is considerable.', 'start': 64.929, 'duration': 2.742}, {'end': 75.855, 'text': 'And he is moving from an experienced senior technical support engineer role to an assistant manager in a data science business unit.', 'start': 68.391, 'duration': 7.464}, {'end': 79.136, 'text': 'And that transition is what we want to focus a lot on.', 'start': 76.135, 'duration': 3.001}, {'end': 82.317, 'text': 'First of all, congratulations, Saurabh, on behalf of all of our team.', 'start': 79.476, 'duration': 2.841}, {'end': 85.518, 'text': "I've been through your first case study.", 'start': 82.878, 'duration': 2.64}, {'end': 89.38, 'text': "I've seen the journey, the effort you have put in, the struggle that you have put in.", 'start': 85.759, 'duration': 3.621}, {'end': 94.162, 'text': 'And hats off to that whole effort, and most importantly, the persistence.', 'start': 89.82, 'duration': 4.342}], 'summary': 'Saurabh has 7 years of experience, transitioning to assistant manager in data science.', 'duration': 29.233, 'max_score': 64.929, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/B0XtJl5cTH8/pics/B0XtJl5cTH864929.jpg'}, {'end': 155.747, 'src': 'embed', 'start': 131.292, 'weight': 4, 'content': [{'end': 138.638, 'text': 'sure, uh, first, uh, first of all i would like to thank you like, thanks overall, apply di team,', 'start': 131.292, 'duration': 7.346}, {'end': 147.005, 'text': "because whatever like what the kind of support which i'm getting from apply di team like if i'm getting stuck in any assignment,", 'start': 138.638, 'duration': 8.367}, {'end': 155.747, 'text': "like i'm continuously like, keep on asking questions and they are like, yeah, okay, you can do like this, even in case study.", 'start': 147.665, 'duration': 8.082}], 'summary': 'The apply di team provides valuable support, guiding through assignments and case studies.', 'duration': 24.455, 'max_score': 131.292, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/B0XtJl5cTH8/pics/B0XtJl5cTH8131292.jpg'}, {'end': 201.13, 'src': 'embed', 'start': 175.631, 'weight': 5, 'content': [{'end': 183.196, 'text': 'so That is the main thing from where I learned a lot on, like for this machine learning things.', 'start': 175.631, 'duration': 7.565}, {'end': 191.222, 'text': 'One of the associate, he was the data analyst in my company at that point after he suggested me about the applied AI course.', 'start': 183.316, 'duration': 7.906}, {'end': 201.13, 'text': 'And at that time I was again confused because I thought now I will put my whole effort in order to learn all these techniques.', 'start': 191.983, 'duration': 9.147}], 'summary': 'Learned a lot about machine learning from an associate who suggested an applied ai course.', 'duration': 25.499, 'max_score': 175.631, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/B0XtJl5cTH8/pics/B0XtJl5cTH8175631.jpg'}, {'end': 269.044, 'src': 'heatmap', 'start': 242.656, 'weight': 6, 'content': [{'end': 256.62, 'text': 'so I immediately, like I, started my journey in 2018 to learn all this machine learning load, but later on, in 2019, in the month of June or July,', 'start': 242.656, 'duration': 13.964}, {'end': 259.241, 'text': 'joined applied AI course.', 'start': 257.521, 'duration': 1.72}, {'end': 269.044, 'text': "I came from support background, so there were no coding experience and after understanding the algorithm, I'm trying to implement those algorithms.", 'start': 259.582, 'duration': 9.462}], 'summary': 'Started learning machine learning in 2018, joined applied ai course in 2019 with no prior coding experience.', 'duration': 26.388, 'max_score': 242.656, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/B0XtJl5cTH8/pics/B0XtJl5cTH8242656.jpg'}], 'start': 11.664, 'title': 'Successful career transition and ai course impact', 'summary': "Highlights saurabh sinha's successful transition to a data science role at concentrix after over seven years of experience and mca graduation in 2013, and also discusses the positive impact of the applied ai course on the learner's skill development, including improved coding skills and timely support in implementing algorithms.", 'chapters': [{'end': 128.267, 'start': 11.664, 'title': 'Successful transition to data science role', 'summary': "Highlights saurabh sinha's successful transition from a senior technical support engineer to an assistant manager in a data science business unit at concentrix, with over seven years of experience and mca graduation in 2013, showcasing his learning journey and persistence in making this transition.", 'duration': 116.603, 'highlights': ['Saurabh Sinha successfully transitioned from a senior technical support engineer to an assistant manager in a data science business unit at Concentrix, showcasing his learning journey and persistence in making this transition.', 'Saurabh has over seven years of experience at Siemens and Cerner Corporation, with his most recent role being a senior technical support engineer at Cerner Corporation.', 'Saurabh has a Master of Computer Applications (MCA) degree, graduated in 2013.']}, {'end': 322.776, 'start': 131.292, 'title': 'Applied ai course testimonial', 'summary': "Highlights the positive impact of the applied ai course on the learner's skill development, including the support received from the team, guidance in machine learning, and the ability to implement algorithms, resulting in improved coding skills and timely support.", 'duration': 191.484, 'highlights': ['The learner expresses gratitude for the support received from the Applied AI team, mentioning continuous guidance in assignments and timely responses to queries, contributing to skill development.', 'The learner credits the Applied AI course for providing guidance in machine learning techniques, leading to an improved understanding and implementation of algorithms.', 'The learner emphasizes the timely assistance provided by the Applied AI team, noting the quick resolution of queries within 24 hours, contributing to effective learning and skill development.']}], 'duration': 311.112, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/B0XtJl5cTH8/pics/B0XtJl5cTH811664.jpg', 'highlights': ['Saurabh Sinha successfully transitioned to a data science role at Concentrix after over seven years of experience and MCA graduation in 2013.', "Saurabh's transition from a senior technical support engineer to an assistant manager in a data science business unit at Concentrix showcases his learning journey and persistence.", 'Saurabh has over seven years of experience at Siemens and Cerner Corporation, with his most recent role being a senior technical support engineer at Cerner Corporation.', 'Saurabh holds a Master of Computer Applications (MCA) degree, graduated in 2013.', 'The learner expresses gratitude for the support received from the Applied AI team, mentioning continuous guidance in assignments and timely responses to queries, contributing to skill development.', 'The learner credits the Applied AI course for providing guidance in machine learning techniques, leading to an improved understanding and implementation of algorithms.', 'The learner emphasizes the timely assistance provided by the Applied AI team, noting the quick resolution of queries within 24 hours, contributing to effective learning and skill development.']}, {'end': 722.645, 'segs': [{'end': 395.988, 'src': 'heatmap', 'start': 337.767, 'weight': 0, 'content': [{'end': 345.393, 'text': "i've stopped, uh, at that particular time, but again i started from 2020, january,", 'start': 337.767, 'duration': 7.626}, {'end': 351.178, 'text': 'because i completed overall course content which was mandatory at that point till december.', 'start': 345.393, 'duration': 5.785}, {'end': 353.24, 'text': 'i was completed all the course content.', 'start': 351.178, 'duration': 2.062}, {'end': 360.686, 'text': 'but later on, like lots of additional videos on lots of the state-of-the-art techniques.', 'start': 354, 'duration': 6.686}, {'end': 369.513, 'text': 'so those things i left at that particular of time and later i was just going through all those videos, which was like time series and,', 'start': 360.686, 'duration': 8.827}, {'end': 375.858, 'text': 'according to my assignment, also like if i need those kind of concept while doing my assignment.', 'start': 369.513, 'duration': 6.345}, {'end': 379.461, 'text': 'so then i was covering those things, cool.', 'start': 375.858, 'duration': 3.603}, {'end': 393.267, 'text': 'so in first six months it was like i have done with three assignments and three or four assignments and uh, course content was almost.', 'start': 379.461, 'duration': 13.806}, {'end': 395.988, 'text': 'i covered the neutral network also in first six months.', 'start': 393.267, 'duration': 2.721}], 'summary': 'Completed mandatory course content by december, covered additional state-of-the-art techniques, and finished three to four assignments in first six months.', 'duration': 38.091, 'max_score': 337.767, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/B0XtJl5cTH8/pics/B0XtJl5cTH8337767.jpg'}, {'end': 506.517, 'src': 'embed', 'start': 481.012, 'weight': 1, 'content': [{'end': 485.955, 'text': 'so at that time i was getting the idea on that project also.', 'start': 481.012, 'duration': 4.943}, {'end': 497.624, 'text': "that was you're trying to understand the concept you learned at applied ai course in the context of problems that your teams or the teams that you knew in data science were also working.", 'start': 485.955, 'duration': 11.669}, {'end': 506.517, 'text': "in that way you get a much more real world context of everything that you're learning, yes and whatever like in your each and every case study.", 'start': 497.624, 'duration': 8.893}], 'summary': 'Learning to apply concepts from ai course to real-world data science projects.', 'duration': 25.505, 'max_score': 481.012, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/B0XtJl5cTH8/pics/B0XtJl5cTH8481012.jpg'}, {'end': 682.024, 'src': 'heatmap', 'start': 647.213, 'weight': 1, 'content': [{'end': 650.334, 'text': 'first round was because everyone is working from home.', 'start': 647.213, 'duration': 3.121}, {'end': 654.495, 'text': 'so first round was, uh, that python test.', 'start': 650.334, 'duration': 4.161}, {'end': 655.795, 'text': 'so 25 questions were there.', 'start': 654.495, 'duration': 1.3}, {'end': 656.856, 'text': 'so they were asked.', 'start': 655.795, 'duration': 1.061}, {'end': 659.796, 'text': 'they asked me to solve those within the 30 minutes.', 'start': 656.856, 'duration': 2.94}, {'end': 671.179, 'text': 'so i i gave, like it, completed within 30 minutes and i got selected in the first round of because i cleared that python code test.', 'start': 659.796, 'duration': 11.383}, {'end': 682.024, 'text': 'uh, like syntax were there and apart from python, there were a few computer reason questions and in python code like it was object,', 'start': 671.179, 'duration': 10.845}], 'summary': 'Cleared a 25-question python test within 30 minutes and got selected for the next round of interview.', 'duration': 34.811, 'max_score': 647.213, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/B0XtJl5cTH8/pics/B0XtJl5cTH8647213.jpg'}, {'end': 682.024, 'src': 'embed', 'start': 659.796, 'weight': 2, 'content': [{'end': 671.179, 'text': 'so i i gave, like it, completed within 30 minutes and i got selected in the first round of because i cleared that python code test.', 'start': 659.796, 'duration': 11.383}, {'end': 682.024, 'text': 'uh, like syntax were there and apart from python, there were a few computer reason questions and in python code like it was object,', 'start': 671.179, 'duration': 10.845}], 'summary': 'Completed coding test in 30 minutes, got selected in first round due to python code test clearance.', 'duration': 22.228, 'max_score': 659.796, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/B0XtJl5cTH8/pics/B0XtJl5cTH8659796.jpg'}], 'start': 322.776, 'title': 'Data science course progress, applied ai course, and concentrix interview experience', 'summary': 'Provides insights into completing a data science course, connecting ai concepts with real-world business problems, and a data science job interview experience at concentrix involving python test rounds.', 'chapters': [{'end': 429.744, 'start': 322.776, 'title': 'Data science course progress', 'summary': 'Describes the progress of completing a data science course over a year, with completion of course content and assignments, including covering neural networks and state-of-the-art techniques.', 'duration': 106.968, 'highlights': ['The speaker completed all the mandatory course content by December and covered additional videos on state-of-the-art techniques, including time series analysis and relevant concepts for assignments.', 'In the first six months, the speaker completed three to four assignments and covered the neural network, and later completed the remaining 15 assignments to work on real case studies.', 'The speaker started in 2020, with a break for personal work, and then resumed, completing a total of 18 assignments and covering relevant course content.']}, {'end': 612.165, 'start': 429.744, 'title': 'Applied ai course and business problems', 'summary': 'Highlights the importance of applying ai concepts to real-world business problems, as the speaker gained practical insights and understanding by connecting course learnings with the business problems encountered in their organization, ultimately emphasizing the relevance of this approach for experienced professionals.', 'duration': 182.421, 'highlights': ['The speaker gained practical insights by connecting course concepts with the business problems encountered in their organization, emphasizing the importance of applying AI to real-world scenarios.', 'The speaker had meetings with data analysts and business analysts to understand the problems they were trying to solve, contributing to their practical understanding of converting business problems into machine learning problems.', 'The chapter emphasizes the relevance of connecting new concepts with the business problems encountered, particularly for experienced professionals in various domains, as it leads to a more comprehensive understanding and expected maturity.']}, {'end': 722.645, 'start': 612.165, 'title': 'Concentrix interview experience', 'summary': 'Discusses a data science job interview experience at concentrix, where the candidate had to clear a python test with 25 questions in 30 minutes for the first round, followed by a 30-45 minutes second round.', 'duration': 110.48, 'highlights': ['The first round involved a Python test with 25 questions to be completed within 30 minutes, covering syntax, object creation, and class calls, which the candidate cleared to proceed further.', 'The second round lasted 30 to 45 minutes and focused on undisclosed topics related to the data science business unit position.']}], 'duration': 399.869, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/B0XtJl5cTH8/pics/B0XtJl5cTH8322776.jpg', 'highlights': ['The speaker completed all mandatory course content by December and covered additional videos on state-of-the-art techniques, including time series analysis and relevant concepts for assignments.', 'The speaker gained practical insights by connecting course concepts with the business problems encountered in their organization, emphasizing the importance of applying AI to real-world scenarios.', 'The first round involved a Python test with 25 questions to be completed within 30 minutes, covering syntax, object creation, and class calls, which the candidate cleared to proceed further.']}, {'end': 1087.319, 'segs': [{'end': 763.439, 'src': 'embed', 'start': 743.263, 'weight': 2, 'content': [{'end': 753.952, 'text': 'and after that, like lots of question in statistics also, because statistic, and i have, i have, like in my past four, five interview,', 'start': 743.263, 'duration': 10.689}, {'end': 763.439, 'text': 'i noticed that statistics is a very strong, like everyone should be very good in statistics also, and that too, whatever question,', 'start': 753.952, 'duration': 9.487}], 'summary': 'Statistics is considered important in interviews, with a strong emphasis on its knowledge and application.', 'duration': 20.176, 'max_score': 743.263, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/B0XtJl5cTH8/pics/B0XtJl5cTH8743263.jpg'}, {'end': 885.428, 'src': 'embed', 'start': 847.269, 'weight': 3, 'content': [{'end': 853.795, 'text': 'most of the question now company, they are asking on machine learning very rarely or just for the understanding,', 'start': 847.269, 'duration': 6.526}, {'end': 855.676, 'text': 'whether people have understanding or not.', 'start': 853.795, 'duration': 1.881}, {'end': 861.679, 'text': 'But in this interview there were no questions in deep learning.', 'start': 857.518, 'duration': 4.161}, {'end': 866.221, 'text': 'Some questions would also depend on the exact role, the type of work that the team does.', 'start': 861.699, 'duration': 4.522}, {'end': 870.482, 'text': 'Probably in the interviews that you attended, probably they were not too deep learning focused.', 'start': 866.381, 'duration': 4.101}, {'end': 872.383, 'text': 'They were more data science and ML focused.', 'start': 870.502, 'duration': 1.881}, {'end': 873.223, 'text': 'That could be the case.', 'start': 872.443, 'duration': 0.78}, {'end': 874.904, 'text': 'cool, cool.', 'start': 873.963, 'duration': 0.941}, {'end': 883.127, 'text': 'so another question i had for you was what suggestions would you give to somebody in your work experience right so somebody,', 'start': 874.904, 'duration': 8.223}, {'end': 885.428, 'text': "let's say probably somebody slightly younger to you,", 'start': 883.127, 'duration': 2.301}], 'summary': 'Interview focused on machine learning and data science, no deep learning questions asked.', 'duration': 38.159, 'max_score': 847.269, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/B0XtJl5cTH8/pics/B0XtJl5cTH8847269.jpg'}, {'end': 989.852, 'src': 'heatmap', 'start': 965.957, 'weight': 0, 'content': [{'end': 972.601, 'text': 'it was more than two project, but they wanted to dig deep, like in one project only, not in all the projects.', 'start': 965.957, 'duration': 6.644}, {'end': 975.603, 'text': 'So two or three projects is enough.', 'start': 973.161, 'duration': 2.442}, {'end': 982.347, 'text': 'So companies are looking for end-to-end understanding from acquiring data to being able to deploy a model using it.', 'start': 975.623, 'duration': 6.724}, {'end': 988.071, 'text': 'Yeah, that is mandatory for people like me, like seven or eight years of experience.', 'start': 982.868, 'duration': 5.203}, {'end': 989.852, 'text': 'That is mandatory.', 'start': 988.131, 'duration': 1.721}], 'summary': 'Companies seek end-to-end understanding from acquiring data to deploying models, requiring 2-3 projects for experienced professionals.', 'duration': 23.895, 'max_score': 965.957, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/B0XtJl5cTH8/pics/B0XtJl5cTH8965957.jpg'}], 'start': 722.645, 'title': 'Interview experience and data science journey', 'summary': 'Details an interview experience focusing on machine learning, statistics, deep learning, and career transition in data science, emphasizing practical projects and end-to-end understanding. insights for transitioning into data science and machine learning are shared, highlighting the significance of practical projects and the necessity of end-to-end understanding in the field, along with the importance of statistics, deep learning, and career transition in data science.', 'chapters': [{'end': 1087.319, 'start': 722.645, 'title': 'Interview experience and data science journey', 'summary': 'Details an interview experience focusing on the questions related to machine learning, statistics, deep learning, and career transition in data science, emphasizing the importance of practical projects and end-to-end understanding. the interviewee shares insights for transitioning into data science and machine learning, highlighting the significance of practical projects and the necessity of end-to-end understanding in the field. the interview also touches upon the importance of statistics, deep learning, and career transition in data science.', 'duration': 364.674, 'highlights': ['The interviewee emphasizes the importance of end-to-end understanding in data science and machine learning, suggesting that having two to three practical projects is sufficient for transitioning into the field. The interviewee stresses the significance of understanding the entire process from acquiring data to deploying a model, stating that having two to three projects is adequate for transitioning into data science and machine learning.', 'The interviewee discusses the significance of statistics in data science roles, noting that it is crucial for candidates to have a strong understanding of statistics and its practical application. The interviewee highlights the importance of statistics, stating that candidates should have a strong grasp of statistics, its practical application, and the ability to apply different statistical techniques in various scenarios.', 'The interviewee shares insights on the relevance of deep learning in interview processes, noting that deep learning-focused questions were not commonly asked in previous interviews. The interviewee discusses the rarity of deep learning-focused questions in previous interviews, indicating that the emphasis was more on data science and machine learning rather than deep learning.', 'The interviewee provides suggestions for career transition to data science and machine learning, emphasizing the importance of practical projects and offering guidance for individuals with varying levels of experience. The interviewee offers advice for individuals transitioning into data science and machine learning, underscoring the significance of practical projects and providing guidance for individuals with different levels of experience.']}], 'duration': 364.674, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/B0XtJl5cTH8/pics/B0XtJl5cTH8722645.jpg', 'highlights': ['The interviewee emphasizes the importance of end-to-end understanding in data science and machine learning, suggesting that having two to three practical projects is sufficient for transitioning into the field.', 'The interviewee stresses the significance of understanding the entire process from acquiring data to deploying a model, stating that having two to three projects is adequate for transitioning into data science and machine learning.', 'The interviewee highlights the importance of statistics, stating that candidates should have a strong grasp of statistics, its practical application, and the ability to apply different statistical techniques in various scenarios.', 'The interviewee shares insights on the relevance of deep learning in interview processes, noting that deep learning-focused questions were not commonly asked in previous interviews.', 'The interviewee offers advice for individuals transitioning into data science and machine learning, underscoring the significance of practical projects and providing guidance for individuals with different levels of experience.']}], 'highlights': ['Saurabh Sinha successfully transitioned to a data science role at Concentrix after over seven years of experience and MCA graduation in 2013.', "Saurabh's transition from a senior technical support engineer to an assistant manager in a data science business unit at Concentrix showcases his learning journey and persistence.", 'Saurabh has over seven years of experience at Siemens and Cerner Corporation, with his most recent role being a senior technical support engineer at Cerner Corporation.', 'Saurabh holds a Master of Computer Applications (MCA) degree, graduated in 2013.', 'The learner expresses gratitude for the support received from the Applied AI team, mentioning continuous guidance in assignments and timely responses to queries, contributing to skill development.', 'The learner credits the Applied AI course for providing guidance in machine learning techniques, leading to an improved understanding and implementation of algorithms.', 'The learner emphasizes the timely assistance provided by the Applied AI team, noting the quick resolution of queries within 24 hours, contributing to effective learning and skill development.', 'The speaker completed all mandatory course content by December and covered additional videos on state-of-the-art techniques, including time series analysis and relevant concepts for assignments.', 'The speaker gained practical insights by connecting course concepts with the business problems encountered in their organization, emphasizing the importance of applying AI to real-world scenarios.', 'The first round involved a Python test with 25 questions to be completed within 30 minutes, covering syntax, object creation, and class calls, which the candidate cleared to proceed further.', 'The interviewee emphasizes the importance of end-to-end understanding in data science and machine learning, suggesting that having two to three practical projects is sufficient for transitioning into the field.', 'The interviewee stresses the significance of understanding the entire process from acquiring data to deploying a model, stating that having two to three projects is adequate for transitioning into data science and machine learning.', 'The interviewee highlights the importance of statistics, stating that candidates should have a strong grasp of statistics, its practical application, and the ability to apply different statistical techniques in various scenarios.', 'The interviewee shares insights on the relevance of deep learning in interview processes, noting that deep learning-focused questions were not commonly asked in previous interviews.', 'The interviewee offers advice for individuals transitioning into data science and machine learning, underscoring the significance of practical projects and providing guidance for individuals with different levels of experience.']}