This is how he transitioned into AI with almost 3 years of Career Gap 🔥- Podcast in Tamil
Key Takeaways
The video discusses a career transition into AI and data science, with a focus on the importance of having a strong foundation in programming languages like Python, and the need to be consistent and put in effort to achieve success in the field. The speaker, AI Coach John, shares his own experience and provides guidance on how to become a data scientist, including the need to have a clear mindset and be willing to learn and invest time and effort.
Full Transcript
I was in a big confusion state as a business there are multiple institutions I don't want to mention the names He he joined the institutions. He started in the 2025. Data science concept Forecore guide. Masters of data science degree. But what is the reality working for just speak what is the truth which is happening in the market. But true value. for 25 students. Work experience. Fore stories experts in the particular playlist I just wanted to create many stories so that I can take them in front of you and take by yourself in case if you want any assistance you can reach out to us. Thank you so much. Start. Thank you so much. MS software systemsap okay business it is not stable. So it is not stable. I was in a confusion state. platform. I was in a big confusion state after constit. So with that confident start and right now I'm here in this situation as a data scientist. Okay. Wonderful. 2021 MSE software systems. MS software systems postgraduate 5 years. Okay. Fine. Okay. like software systems coding examapy. Advanced concepts of Python to top to bottom lot of tools. You need to know the flow or the concepts. So exam point of view. Okay. textile based business. So I decided when I give a try I went to business I achieved it but two years so this is not stable longer. Okay. Okay. I decided. Okay. I was searching and I connected you in. Got it. First, Java developer data scientist. First thing I was fundamentally strongc So in the point of viewcess basic process I choose business analyst business analyst like it is not only that kind of job like after interacting with you. Okay. business analyst. It is not it is a part. Okay. is more fundamental machine learning, deep learning, NLP, LLM. Okay, great. First thing I was completely blank. I was completely blank business. So okay narrowath it will be little hard. Okay. Right. We should have multiple options. multiple options. I choose data science. Data science was upon the time it was trending like it was started booming in every college. Okay. Great. Then we are at the right spot. We'll give it a shot. Data science. We have more paths to move in. Okay. Fine. Thank you. Institute Friends. Okay. first multiple institutions I don't want to mention the names but they were not opened upon their structure course but they were not strong about the concepts or agenda what they going to do in the six months June 2024 months back he was working in TCS Bangalore. Okay. I was discussing with them. data science. I was also discussing with he was not clear about what he learning. Okay. First thing first machine learning he has no clue what he's going to learn. He told the structure is clear just put the effort. I got hope. So it gave me hope. even they could not guarantee the placement but how can we hope institution that could give 100% placement so I investing my time and money whatever even now I'm still learning 100% 100% experience. Because at the end of the day 100% it will be so much people they want to be secure safe they want to be okay like even every people's mindset even though I still have fear I just trusted the [Music] process then second team support. Second month. Okay. So I could get a chance [Music] there. Second thing we have to try multiple times you have to trust the process and you have to put the effort end of the day the result is for you. Okay. Fine. Super. I was completely blanked. I could not get the solution. So I could not get support from anyone for the guidance. We could reduce the time. Okay. feel one mentorship now. Okay. [Music] I was convinced with follow weekly progression or monthly progression like I was not consistent completely middle of the Contact number [Music] one. So it helped me a lot. Okay. Wonderful. Techams data science first graduate first graduate. So simple example. He he joined the institutions. He started months within months. It's been almost it is almost one year and two months back now searching for [Music] job advancing visualization tools He lost it. I know his situation. We need someone to guide. End of the day. It's a question mark for him from that side. Still he just got only 10 companies. I don't know how justify it is. First thing is a positive bas especially in data science one or two months back. So you have to do it in another way. So you have to focus on trend. you move on to the fee structure and it is completely your financial situation but still a lot of institutions I split. So there were multiple support given by John but end of your effort does matter. Okay. Data science learn. It will be very useful for you. Contined project. I could not refuse. I started learning the basics. I started working on the project. Main key projects very important. But still in a data sense it will be easy for you. This is the thing. Stick to the plan. programming language. Yes, Python the base. Python will play a vital role in data science. So go with Python. Stick with Python. Okay. data scientist replacing software developersoftenior jobs first but still it cannot replace every jobs then even another perspective of data science you're going to deal with lot of datas datas more people, more business, more data basic thing. So you're going to deal with multiple datas, multiple business people. So you can confidently stick with the plan longterm data that will be the first key. Okay. mindset and now even I want people to correct that also I started feeling insecurity it will be little late they will give solution I don't have a clear picture about [Music] it. Try to solve it. It'll be more useful for you in the job. You have to be on your own legs. They'll keep you as unfit. So simple thing mindset people should come with the mindset of learning effort. You going to invest you going to take returns. They are showing the nice [Music] path. That's it. But keep going. customers I was putting lot of efforts so okay thank you so much data science data scientist First thing data science. So community people you'll get knowledge so it will be very helpful for you. Okay, thank you so much. Data scientist. He's also personally helping lot of people. So in the particular concept talking kind suggestion. So we can start working together and we can definitely help you to become a data scientist in 2025 you can reach out to us and in the particular conversation series so that I'll take time from Next. See you in the next episode. This is John signing off. All right.
Original Description
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📲 Connect with Dinesh:
✔ LinkedIn:https://www.linkedin.com/in/dinesh-baskaran-88a5121a0?utm_source=share&utm_campaign=share_via&utm_content=profile&utm_medium=android_app
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📲 Connect with Me:
✔ Instagram: https://www.instagram.com/john_the_ai_coach/
✔ LinkedIn: https://www.linkedin.com/in/johngabrielcareerbuildingcoach?utm_source=share&utm_campaign=share_via&utm_content=profile&utm_medium=android_app
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Are you struggling to restart your career after a long gap? Wondering how to break into the booming field of Artificial Intelligence and Data Science? In this inspiring Tamil podcast, hear an authentic journey of transitioning into AI after nearly 3 years of career instability and breaks. Discover practical tips, mindset shifts, and proven strategies to successfully build a new career in data science — even if you’re starting from scratch!
What You’ll Learn in This Podcast:
✅ How to navigate career confusion and take informed steps toward AI and data science
✅ The importance of a strong educational foundation and mastering Python programming
✅ Overcoming challenges in finding quality data science training and real-world projects
✅ The critical role of mentorship, community support, and continuous learning
✅ Strategies for staying motivated and persistent during your career transition
✅ Future prospects in AI and data science and how to stay relevant in a competitive market
🎯 Wh
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