kellatirupathi · April 20, 2026 08:57
diff --git a/transcript_1LXi9TD1h3fpAESjw1blqraFV8H_S5iyF_3600_3960_377b29d3d9f2_2.txt b/transcript_1LXi9TD1h3fpAESjw1blqraFV8H_S5iyF_3600_3960_377b29d3d9f2_2.txt
 [00:00:05]  Okay.
 [00:00:11]  Yeah, you should turn your camera.
 [00:00:14]  Okay.
 [00:00:23]  I am in out of town, so I didn't bought my earphones.
 [00:00:28]  I think I'm audible, right, sir?
 [00:00:31]  Yeah, yeah, yeah.
 [00:00:33]  Thank you.
 [00:00:37]  or comment, can you introduce yourself, like any past experience or anything that you've done?
 [00:00:45]  Yes, good afternoon, sir.
 [00:00:48]  My name is Manideep and I'm from Tanuku, Andhra Pradesh.
 [00:00:51]  I'm a 2025 B.Tech graduate in Tribli from Srivastava Engineering College, Patta, Dapali.
 [00:00:58]  I have strong foundation skills in Python and SQL and I have additional knowledge in cloud and some data analysis side also like Power BI.
 [00:01:08]  And like a python libraries numpy matplotlib and pandas i had done project in data analysis blinkit e-commerce dashboard using sql and power bi
 [00:01:23]  and i used sql there for the data cleaning and
 [00:01:28]  like data processing and Power BI for data visualization.
 [00:01:32]  And I also developed a full stack web application like Indian Constitution Article Portal.
 [00:01:40]  Where I took assistance from AI like for the front end and for the rest of the back end self I did it with the Django, Python and SQL
 [00:01:51]  and coming to my hobbies I like to watch automotive shows and that's a brief about me sir
 [00:02:05]  Okay.
 [00:02:09]  Do you have any internship experience?
 [00:02:13]  No, sir.
 [00:02:13]  I didn't have any internship experience.
 [00:02:16]  And your project, any project that you built apart from your college?
 [00:02:23]  Yeah, those like the projects I mentioned in my resume are like I built after my college.
 [00:02:32]  Okay, can you give me some information about gym members performance dashboard?
 [00:02:38]  Yeah, I took the data set from the Kaggle data set and I analyzed the data set by like
 [00:02:46]  how many rows and what are the columns and what is the data is in that data set like by analyzing the each column then I like I perform the data cleaning first like
 [00:03:02]  searching for the null values and irrelevant data which is not useful for my
 [00:03:08]  project like it can reduce the like space it taking of my project
 [00:03:19]  and after the data cleaning and the data processing then I went into the
 [00:03:25]  like what are the possible outcomes that I can like insights I can draw from that data set
 [00:03:31]  And after listing out all insights, I perform the visualization and reporting in the data visualization tool Power BI.
 [00:03:42]  And.
 [00:03:49]  I'll just give you the job description.
 [00:03:53]  Right?
 [00:03:54]  Yeah, sir.
 [00:03:55]  Yeah.
 [00:04:00]  So like we'll be offering L1 monitoring support role.
 [00:04:06]  Yes, sir.
 [00:04:08]  So when I say monitoring, so you are explicitly tied to monitor the execution of the code we have written.
 [00:04:17]  So you don't look at anything called code.
 [00:04:20]  You're probably only looking at a kind of English text messages.
 [00:04:25]  That will be technical and non-technical as well.
 [00:04:29]  So, if everything is functioning well, that's okay.
 [00:04:32]  If not, you have to report the issues.
 [00:04:35]  Yeah, okay.
 [00:04:35]  That's your job.
 [00:04:36]  So, at least for one year, you won't be given any chance to change the course.
 [00:04:41]  It should be purely like a monitoring resource.
 [00:04:45]  Okay, sir.
 [00:04:49]  Yeah, okay, sir.
 [00:04:55]  Okay.
 [00:04:55]  Can I share yours, please?
 [00:04:57]  Yeah.
 [00:05:16]  Just a small door.
 [00:05:19]  Yeah.
 [00:05:20]  Like before you said to share my screen, what did you say, sir?
 [00:05:26]  I didn't say anything like that.
 [00:05:27]  I just told you a job description.
 [00:05:30]  You got hired.
 [00:05:31]  Yeah.
 [00:05:34]  So that's what I'm telling like if you are okay with the job role, then all I move forward.
 [00:05:39]  If you feel like.
 [00:05:42]  Something then it's okay to stop here because sir like is it mandatory of the 1.8 year bond
 [00:05:54]  Yeah, that's the problem.
 [00:05:57]  How you got to know that's one point here?
	[00:00:05] Okay.
	[00:00:11] Yeah, you should turn your camera.
	[00:00:14] Okay.
	[00:00:23] I am in out of town, so I didn't bought my earphones.
	[00:00:28] I think I'm audible, right, sir?
	[00:00:31] Yeah, yeah, yeah.
	[00:00:33] Thank you.
	[00:00:37] or comment, can you introduce yourself, like any past experience or anything that you've done?
	[00:00:45] Yes, good afternoon, sir.
	[00:00:48] My name is Manideep and I'm from Tanuku, Andhra Pradesh.
	[00:00:51] I'm a 2025 B.Tech graduate in Tribli from Srivastava Engineering College, Patta, Dapali.
	[00:00:58] I have strong foundation skills in Python and SQL and I have additional knowledge in cloud and some data analysis side also like Power BI.
	[00:01:08] And like a python libraries numpy matplotlib and pandas i had done project in data analysis blinkit e-commerce dashboard using sql and power bi
	[00:01:23] and i used sql there for the data cleaning and
	[00:01:28] like data processing and Power BI for data visualization.
	[00:01:32] And I also developed a full stack web application like Indian Constitution Article Portal.
	[00:01:40] Where I took assistance from AI like for the front end and for the rest of the back end self I did it with the Django, Python and SQL
	[00:01:51] and coming to my hobbies I like to watch automotive shows and that's a brief about me sir
	[00:02:05] Okay.
	[00:02:09] Do you have any internship experience?
	[00:02:13] No, sir.
	[00:02:13] I didn't have any internship experience.
	[00:02:16] And your project, any project that you built apart from your college?
	[00:02:23] Yeah, those like the projects I mentioned in my resume are like I built after my college.
	[00:02:32] Okay, can you give me some information about gym members performance dashboard?
	[00:02:38] Yeah, I took the data set from the Kaggle data set and I analyzed the data set by like
	[00:02:46] how many rows and what are the columns and what is the data is in that data set like by analyzing the each column then I like I perform the data cleaning first like
	[00:03:02] searching for the null values and irrelevant data which is not useful for my
	[00:03:08] project like it can reduce the like space it taking of my project
	[00:03:19] and after the data cleaning and the data processing then I went into the
	[00:03:25] like what are the possible outcomes that I can like insights I can draw from that data set
	[00:03:31] And after listing out all insights, I perform the visualization and reporting in the data visualization tool Power BI.
	[00:03:42] And.
	[00:03:49] I'll just give you the job description.
	[00:03:53] Right?
	[00:03:54] Yeah, sir.
	[00:03:55] Yeah.
	[00:04:00] So like we'll be offering L1 monitoring support role.
	[00:04:06] Yes, sir.
	[00:04:08] So when I say monitoring, so you are explicitly tied to monitor the execution of the code we have written.
	[00:04:17] So you don't look at anything called code.
	[00:04:20] You're probably only looking at a kind of English text messages.
	[00:04:25] That will be technical and non-technical as well.
	[00:04:29] So, if everything is functioning well, that's okay.
	[00:04:32] If not, you have to report the issues.
	[00:04:35] Yeah, okay.
	[00:04:35] That's your job.
	[00:04:36] So, at least for one year, you won't be given any chance to change the course.
	[00:04:41] It should be purely like a monitoring resource.
	[00:04:45] Okay, sir.
	[00:04:49] Yeah, okay, sir.
	[00:04:55] Okay.
	[00:04:55] Can I share yours, please?
	[00:04:57] Yeah.
	[00:05:16] Just a small door.
	[00:05:19] Yeah.
	[00:05:20] Like before you said to share my screen, what did you say, sir?
	[00:05:26] I didn't say anything like that.
	[00:05:27] I just told you a job description.
	[00:05:30] You got hired.
	[00:05:31] Yeah.
	[00:05:34] So that's what I'm telling like if you are okay with the job role, then all I move forward.
	[00:05:39] If you feel like.
	[00:05:42] Something then it's okay to stop here because sir like is it mandatory of the 1.8 year bond
	[00:05:54] Yeah, that's the problem.
	[00:05:57] How you got to know that's one point here?
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