111: How This Indian Immigrant Landed a Data Job in Canada in 100 Days w/ Krishna Bharatula

[00:00:00] Today you will get to know my friend Krishna and his data story of how he went from an

[00:00:05] Indian engineer technical worker to a Canadian data analyst in less than 100 days.

[00:00:12] You'll hear Krishna struggles to apply to hundreds of jobs and get no replies.

[00:00:16] You'll hear him apply to this company that he eventually will land a job with four different

[00:00:20] times and what the difference was the fourth, a portfolio and networking, which are key

[00:00:26] parts of the SBN method, which is the best way you can land any data job skills, portfolio

[00:00:31] and network.

[00:00:32] You need all three.

[00:00:33] I can't wait for you to hear Krishna's story of an Indian immigrant moving to North America

[00:00:38] and how he has made it as a data analyst.

[00:00:41] Welcome to the Data Career Podcast, the podcast that helps aspiring data professionals land

[00:00:45] their next data job.

[00:00:47] Here's your host, Avery Smith.

[00:00:50] So Krishna, congratulations on your new job.

[00:00:54] What is exactly your new title as a data visualization analyst or data imaging analyst?

[00:01:00] Thank you for giving me this opportunity.

[00:01:01] So yeah, it's not entirely data analyst.

[00:01:04] There is a wording between data imaging analysts.

[00:01:07] So I'll be dealing with a lot of images, especially ultrasound images.

[00:01:13] And I'll be turning those numbers into 3D images.

[00:01:18] So that's what I do.

[00:01:19] Basically, I am working with this great company, amazing company where they deploy their sensors,

[00:01:25] get the ultrasound data and turn them into images and see where the problem is.

[00:01:31] So I solve problems.

[00:01:32] I love solving problems.

[00:01:33] So that's what I'm going to do.

[00:01:34] I'm excited.

[00:01:35] So I'm going to use proprietary software as well as MATLAB.

[00:01:38] That's so exciting.

[00:01:39] So it's so fascinating to me because, you know, one of the things I like to talk about in

[00:01:44] the data analytics world is there are so many different job titles.

[00:01:48] And your job title is pretty unique.

[00:01:50] You know, data, I could never even remember it, data imaging analyst, which is one you

[00:01:55] don't hear a whole lot about.

[00:01:56] But basically what you'll be doing, like you said, is there's these different sensors that

[00:02:00] are able to take pictures of things underground because you'll be working for an oil and gas

[00:02:07] or some sort of energy company, right?

[00:02:09] Which has to look at things underground and look at those images, turn those images into

[00:02:14] numbers and then crunch those numbers to find anything of interest, abnormalities or,

[00:02:19] you know, there is, you know, there is energy here, there is oil here, or there's not.

[00:02:23] So those types of things, that's kind of what your role will be down the road, right?

[00:02:26] Yes, exactly.

[00:02:27] I don't want to dive into technical jargon, but it's like finding any pitfalls in the

[00:02:31] pipe that we put in place so that we can get oil and gas out of it.

[00:02:35] So basically there are a lot of technical downs, such as corrosion, pipeline bends for

[00:02:41] jobs that we do to create channels for fluids to flow to the service.

[00:02:47] So basically we identify any pitfalls, any equipment failure that will cost us a lot

[00:02:53] over in the coming years.

[00:02:54] If I look at numbers, it's like an oil well when we deploy all kinds of equipment down

[00:02:58] there, which we don't know what's going to happen over like two or three decades.

[00:03:02] So the equipment will last for five to 10 years.

[00:03:06] So over the years they deplete, they corrode.

[00:03:09] So we identify what's happening down there, there's different kinds of sensors and imaging

[00:03:15] technologies.

[00:03:17] So we get everything in numbers, we turn them into 3D images.

[00:03:21] That's where I'm going to analyze those numbers and put them in front of my clients.

[00:03:28] So if I give numbers, like you said in your coursework, numbers don't mean anything unless

[00:03:33] you turn them into visuals.

[00:03:35] So yeah, that's what I'm exactly going to do.

[00:03:38] Turn them into visuals and let them know what's happening down there, what they can do in

[00:03:42] the future.

[00:03:43] It's super fascinating because yeah, when you're working with stuff under the ground,

[00:03:48] you can't see it.

[00:03:49] Right.

[00:03:50] And so the ability, the ability, you're basically giving this company the ability to see things

[00:03:56] underground.

[00:03:57] Exactly.

[00:03:58] Yes.

[00:03:59] Yes.

[00:04:00] I totally agree with that.

[00:04:01] Yeah.

[00:04:02] So back in 1980s, 1970s, we don't have anything to see what's happening down there.

[00:04:07] Right now we barely touch that kind of technology where you use simple physics and we can see

[00:04:17] stuff that's happening down there.

[00:04:18] So I think we have that kind of technology in medical and nanotechnology.

[00:04:22] You have ultrasound images in medicine.

[00:04:25] What we're going to use that same kind of technology we deploy down there probably three

[00:04:29] to four kilometers from the surface all the way to the subsurface.

[00:04:33] And you get those numbers through a conduit and a wire line kind of fluids and stuff.

[00:04:40] And we turn that into numbers and we decode those signals and try to get an image out

[00:04:44] of it.

[00:04:45] So yeah, it's super fascinating.

[00:04:47] And I'm thankful to work with this company with that kind of technology.

[00:04:51] So they are the pioneer.

[00:04:54] So I work for Darkvision basically.

[00:04:55] That's the company I'm working for.

[00:04:57] So going to work for it.

[00:04:58] I haven't started yet, but yeah, I'm excited.

[00:05:00] Super excited to start my work over there.

[00:05:03] Yeah, that's going to be amazing.

[00:05:05] Let's give the listeners a little background on you because we've been talking about your

[00:05:10] new role, which is that data imaging analyst and how you're going to be seeing things under

[00:05:14] the ground, especially for pipelines and fluids and energy and oil and gas and stuff like that.

[00:05:20] And that's kind of your background, right?

[00:05:22] You've basically worked in the oil and gas field.

[00:05:25] You got a degree in natural gas engineering.

[00:05:28] You got a degree in petroleum engineering.

[00:05:30] So you've done a lot of really cool things with this in the past, but you've kind of

[00:05:35] jumped over from place to place because you did your bachelor's in India.

[00:05:39] You did your master's in the US, but then you moved back to India and now you're living

[00:05:44] in Canada and this is your first job in Canada.

[00:05:46] So do you mind just giving people kind of a background for what you've been doing over

[00:05:49] the last few years?

[00:05:51] The question you ask with that question is I kind of feel like an adventure generally,

[00:05:54] a journey, adventurous one, because I was very fascinated with geology and geography

[00:06:02] back when I was in school.

[00:06:05] So I tried to pursue that kind of enthusiasm all the way through.

[00:06:09] So I started my bachelor's in petroleum engineering from Jawaharlal Nehru Technological University

[00:06:16] in Hyderabad.

[00:06:18] That is the southern peninsula region of India.

[00:06:21] And from there I decided to get a master's.

[00:06:24] Further my education, academics and try to dive into advanced studies.

[00:06:30] So I pursued a master's in natural gas engineering.

[00:06:33] Then as soon as I got my graduation, I started working with an amazing oil and gas service

[00:06:40] company in Texas.

[00:06:43] And what they do is the same thing.

[00:06:45] They deploy all kinds of sensors down there, identify hydrocarbon that drives the whole

[00:06:52] world today.

[00:06:53] So it was a great experience.

[00:06:55] So one of the perks of working in the oil and gas industry is that you will get an amazing

[00:07:01] interaction with wildlife and this beauty of planet Earth.

[00:07:04] So you'll deal with a lot of formation.

[00:07:07] So I met, one of the stories that I love is from geologists.

[00:07:11] So we have well-sighted geologists that study all kinds of formations and rocks.

[00:07:15] And one well-sighted geologist was collecting all kinds of germs, all kinds of rocks.

[00:07:21] So he showed his collection of rocks.

[00:07:24] So it was like a collection of diamonds.

[00:07:26] So I'm always fascinated with those kinds of rocks down there.

[00:07:30] I'm kind of a geeky guy when it comes to rocks and hydrocarbons.

[00:07:33] So you can count on that.

[00:07:35] Then some circumstances arose in such a way that I had to move back to India.

[00:07:42] But my employer, my company said, you know, like you can work over there.

[00:07:47] They do have operations going on down there in India as well.

[00:07:50] So I joined them again and was working in India.

[00:07:54] I always had a dream to work in offshore platforms where you go in the middle of nowhere in the

[00:07:58] ocean and do the engineering stuff and find different kinds of formations, explore them

[00:08:05] and then bring them to the surface using different kinds of engineering and engineering techniques.

[00:08:11] So I was so glad working in onshore and offshore projects.

[00:08:16] So that was my dream come true, you know, like working in offshore projects.

[00:08:22] And then I worked for four years in India.

[00:08:26] Then I moved to Canada because I got permanent residency of Canada, which is a great opportunity

[00:08:32] for me to explore my, you know, enhance my skills and explore different parts of the world.

[00:08:38] So it kind of jumped like a triangle, you know, like I started off from India, then

[00:08:42] moved to United States and again came to India, then moved to Canada.

[00:08:45] So it's a bit of a journey.

[00:08:47] So I never had any regrets regarding that.

[00:08:50] And right now after coming to Canada, I was trying to figure out how to, you know, organize

[00:08:55] things in my life.

[00:08:56] It's a new head start for me from the scratch.

[00:08:59] I don't have immediate family that I can rely on.

[00:09:01] So I'm totally a new guy in the aisle trying to figure out things.

[00:09:05] Then somewhere in the middle of this journey, I realized that I love coding.

[00:09:11] In bachelors, I didn't like coding, but as soon as I realized where my skills are when

[00:09:16] I was working in the offshore and onshore projects in oil and gas field, I realized

[00:09:20] that I love turning numbers into visuals using different techniques that we have a new world

[00:09:26] called data science.

[00:09:27] So I got very interested in data science.

[00:09:31] So then I realized like, okay, what are the options you have at that point?

[00:09:34] Then I tried reaching out to you.

[00:09:37] That's when I realized, okay, Avery Smith, a guy that I knew back in 2018, since 2018,

[00:09:43] I've been following you.

[00:09:45] So I realized, okay, Avery has his own coursework and own company.

[00:09:50] So okay, let me get down to that.

[00:09:53] I think we had two or three calls before I joined Data Carer Jumpstart, haven't we?

[00:09:58] So I was like, okay.

[00:10:00] Then you told me where I was lacking.

[00:10:01] So that was an enlightenment for me.

[00:10:03] Like, okay, I might have all these skills, but this is where I was lacking.

[00:10:07] A good structure or a good organized way of portfolio.

[00:10:13] It helped me a lot.

[00:10:14] It helped me through the job and through this job as well.

[00:10:17] I'm so happy that I am part of your company.

[00:10:20] I'm part of your coursework and community data science.

[00:10:25] And I was like, okay, this is working so far so good.

[00:10:28] Then I've got a job after six months coming to Canada.

[00:10:32] So yeah, I'm really excited for that.

[00:10:34] Yeah.

[00:10:35] So yeah, Krishna, like he said, you know, bounced around from US to India to Canada.

[00:10:42] He'd been living in Canada for six months.

[00:10:43] It took him about 102 days from when he joined the Data Analytics Accelerator to

[00:10:49] when he landed this first job, you know, as someone who just immigrated from India

[00:10:53] to Canada, you're working for this really cool company and you had tried applying

[00:10:58] there before, right?

[00:10:59] That's one of the things I really admire about Krishna.

[00:11:01] Yes.

[00:11:01] So can you tell the story of your applications with this company?

[00:11:05] So it was a long process, but I enjoyed all through the process.

[00:11:10] When I was searching for my companies, the companies that I wanted to work for, like

[00:11:17] you said, you're like, it's better to narrow down the companies and then drive for them.

[00:11:23] So I researched their expertise, their way of using technology to, you know, improve

[00:11:33] the quality of life in the world.

[00:11:35] So I tried those kinds of companies, especially then I searched them on the

[00:11:38] LinkedIn, then I came across Darkvision and I really went through their websites,

[00:11:44] their team, and then I realized, okay, this is very much, you know, very much

[00:11:51] close to what I want to do in life.

[00:11:54] And they are in oil and gas as well, which I don't want to completely shift.

[00:11:57] That's why when people ask me like, you are completely moving to information

[00:12:02] technology, IT industry, like away from your core expertise, I was like, no, I

[00:12:07] wouldn't say that.

[00:12:09] So I would rather say like, I'm integrating my technical degree with data science and

[00:12:14] it's not an entire shift, but like an integration, like it's a bonus.

[00:12:18] It's a beautiful combo when you use your technical skills with data science.

[00:12:22] That's amazing way to put it.

[00:12:25] I'm not entirely shifting.

[00:12:26] I'm still in oil and gas, but I'm also using data science to solve different

[00:12:29] kinds of congeniality problems.

[00:12:31] So that's what I love to do.

[00:12:33] Sorry, I think that's really important to highlight because like a lot of people

[00:12:39] when they don't like their job, they obviously want to leave their job.

[00:12:42] But the cool thing is, it's not necessarily that they don't like their

[00:12:45] industry, it's like they just don't love that particular position.

[00:12:48] And so what you did was kind of merge, you know, oh, I love data.

[00:12:51] You know, I love energy.

[00:12:53] I love petroleum.

[00:12:54] I love geophysics and stuff like that.

[00:12:55] Let's combine them.

[00:12:57] And I think one, that makes it more enjoyable for you, but two, it makes it

[00:13:01] easier for you to land a job because you might not have all the data experience in

[00:13:05] the world, but you have a lot of petrophysics experience.

[00:13:08] When you merge the two, it makes you a stronger candidate.

[00:13:11] So anyone listening, if you can merge, you know, data with whatever you do right

[00:13:15] now, that's going to give you a big advantage.

[00:13:16] So sorry to interrupt.

[00:13:17] I just wanted to highlight that.

[00:13:19] I agree with what you've said.

[00:13:20] So yeah, it's totally that how it went for me.

[00:13:22] So then I realized, okay, let me see if they have any openings.

[00:13:25] Let me see if Darkvision has those kinds of openings.

[00:13:29] I realized they had a lot of openings.

[00:13:30] They had data imaging analysts, data team lead, all kinds of different openings that

[00:13:34] they are working with in a specific aspect of oil and gas.

[00:13:38] They are not restricted in oil and gas.

[00:13:39] They do have all different kinds of projects elsewhere in the world.

[00:13:43] And I am specifically, I was specifically interested in oil and gas oil fields.

[00:13:47] So I applied for them and then I reached Canada on October 31st, back in November

[00:13:54] 2023.

[00:13:56] And I applied for them in November last week, last week of November, I guess last

[00:14:01] year.

[00:14:02] And I got immediate rejection.

[00:14:04] I was like, okay.

[00:14:05] Most of the time they're automated emails.

[00:14:07] I realized that.

[00:14:08] Then I figured out, okay, let me apply for another position because I really wanted to

[00:14:12] apply for the company.

[00:14:14] And I realized, okay, this is where I want to be.

[00:14:17] And I realized like what skills I have and what skills I need to get that position.

[00:14:24] Then I worked my way out.

[00:14:26] So I had a makeshift kind of portfolio sitting in my laptop, but I never had, you

[00:14:32] know, out there on LinkedIn and stuff.

[00:14:35] Then I applied for one more position with Darkvision and they looked at my resume

[00:14:42] and they scheduled an interview.

[00:14:44] It was first stage and I realized that I have to prepare well.

[00:14:48] I have to showcase my skills.

[00:14:49] I have my resume on my laptop, my all kinds of projects that I did on my laptop.

[00:14:54] And they looked at my resume and asked me questions, but the end of the day I got

[00:14:58] rejected again.

[00:15:00] And then December realized, okay, where I was lacking, I couldn't figure it out.

[00:15:05] Then I on LinkedIn, I came across your post.

[00:15:08] Then, okay, let me have a word with Avery what he says.

[00:15:11] Then probably December ending or January 1st week we had a one-on-one call.

[00:15:16] I realize I remember December, January 1st week we had a call.

[00:15:20] And by the time before I hopped on our data accelerator program, I was applying for a

[00:15:27] lot of companies, a lot of different companies, including Darkvision, but I was

[00:15:31] getting a lot of rejections, lot of rejections, but that didn't push, pull me

[00:15:36] down.

[00:15:37] So I had to like be motivated and stay hopeful because it's funny.

[00:15:43] The irony is that I wasn't in this situation five years ago when I got my

[00:15:48] graduation, I realized I applied like 700 jobs and out of 700 jobs, I got one offer

[00:15:54] letter and remaining rest of the applications were either bending or

[00:15:59] rejections.

[00:16:01] So I had to stay motivated and try different kinds of projects, use data, stay

[00:16:08] updated with the current technologies, current aspects in the industry.

[00:16:12] I did the same in 2023 as well.

[00:16:14] So that's what I did back then and try to correct them last year, this time when I'm

[00:16:21] again in the job market.

[00:16:23] So I had a call with you one-on-one, then I realized, okay, this is what everybody's

[00:16:28] saying.

[00:16:28] So I might have all my product on the laptop, but I don't know what they're doing.

[00:16:32] Like he said, so let me put it out there.

[00:16:35] So I didn't have a format how to do that.

[00:16:37] So then I looked at your website, I looked at your courseworks, then I realized, okay,

[00:16:42] there is an opportunity where I can hop on it.

[00:16:44] Some, you know, like an example class.

[00:16:46] I don't know how you call it.

[00:16:47] It's like, it's a freshers class.

[00:16:49] I can just hop on the class and see what's how things are going on, how the

[00:16:52] community is within your program.

[00:16:55] So I realized it's superb.

[00:16:56] Then I immediately joined.

[00:16:59] Once I had everything figured out, your SPN method, I realized, okay, this is how I

[00:17:02] should have done back then, which I evidently didn't do it properly.

[00:17:07] And this time I applied for dark vision the third time.

[00:17:10] And I got rejected again with dark vision.

[00:17:15] And then when the, when I had a strong portfolio, when I have a refined LinkedIn

[00:17:21] profile, and then I realized I started applying for different kinds of companies.

[00:17:26] I had two offer letters, one from dark vision and one very recently.

[00:17:32] So I already signed, assigned my offer letter with dark vision.

[00:17:35] So I rejected the other one.

[00:17:38] And when I applied for dark vision, I immediately got a response from our

[00:17:43] recruiter saying that you're moving with stay or round one of the interview.

[00:17:47] And I tailored my resume based on your SPN method and the way that you have,

[00:17:54] you know, portrayed the way that a resume should look and the way that a LinkedIn

[00:17:58] should look when you, when you want to kind of jump or integrate it with data

[00:18:03] science.

[00:18:04] So I realized that, that I should do this.

[00:18:06] Then I did that and everything paid off very well in the, and I got the interview

[00:18:14] in April 6th to be exact, April 6th of 2024.

[00:18:19] So from January till April, I was preparing myself.

[00:18:23] I didn't stop applying.

[00:18:24] Obviously I was keep, I was applying to different kinds of jobs in the whole

[00:18:29] Canada.

[00:18:29] And at the same time I was, you know, refining my portfolio, refining my, you

[00:18:34] know, improving my LinkedIn profile, improving my skills in data analytics

[00:18:38] and data science.

[00:18:38] So by the end of March, I had a good amount of strong portfolio, a good amount

[00:18:46] of, you know, number of projects in that portfolio.

[00:18:48] Then I have a great way, a great profile on LinkedIn where I could showcase my

[00:18:52] skills, what I've done, what I'm doing.

[00:18:55] And then I have a good circle to be honest, because when I was going through

[00:19:01] your coursework, I realized it's not just about making a resume and building a

[00:19:06] LinkedIn profile.

[00:19:07] I realized I have to talk to different people.

[00:19:10] So I started networking.

[00:19:11] Networking was an important role in the, in the whole process of me getting a job.

[00:19:16] I tried to reach out to different kinds of people working in different kinds of

[00:19:20] expertise.

[00:19:21] So when I was doing networking, I realized that I can do either cool messages on

[00:19:29] networking or on LinkedIn, or I can ask them a step further to get down on

[00:19:35] coffee jars.

[00:19:36] So I did both actually.

[00:19:37] So this helped me in the process of dark vision hiring as well.

[00:19:44] Basically when I teach, I have to like come out of that imposter syndrome,

[00:19:49] where I like to say that what people would think or what people would react

[00:19:55] to my projects and all of that.

[00:19:57] So I had to really get over that imposter syndrome and work on my skills and

[00:20:02] interpersonal skills.

[00:20:03] So I did three coffee charts.

[00:20:05] We talked about a lot of different things in data science and a lot of different

[00:20:09] skills that I need to have.

[00:20:12] And all those, if I put it together, that helped me to prepare for a dark vision

[00:20:15] and to the L-screen.

[00:20:17] So that's my fourth application with dark vision.

[00:20:21] I was very persistent and then I finally got the job and the hiring process was

[00:20:28] simple, not tedious, but they explored all aspects.

[00:20:32] They did everything.

[00:20:33] They asked about everything that I did and everything that regarding my

[00:20:38] background, regarding my education and regarding skills, how I fit within that

[00:20:43] company.

[00:20:43] So yeah, it was a huge and important journey in my career.

[00:20:49] And it's my fourth application to be honest.

[00:20:51] So I got my job after fourth application.

[00:20:54] So it was a huge achievement.

[00:20:56] I want to rehash here that you applied.

[00:20:58] So one of the things that we talk about on this podcast, in the bootcamp is the

[00:21:03] difference between the spray and pray method and like actually like targeting

[00:21:08] companies, right?

[00:21:08] Because a lot of the times you can just like throw your resume out there to

[00:21:12] hundreds of companies and not really get any bites.

[00:21:15] And so that's one of the things that you kind of redid.

[00:21:17] You're like, okay, I'm really into this dark vision company.

[00:21:19] I like the work that they do.

[00:21:21] I think it fits my background very well.

[00:21:23] So I'm going to target there.

[00:21:24] And you applied, like you said, three times, I guess two times got rejected,

[00:21:29] applied a third time, got an interview, got rejected.

[00:21:32] And then the fourth time you finally landed the job.

[00:21:34] Is that correct?

[00:21:35] Yes.

[00:21:35] Yes.

[00:21:36] Entirely.

[00:21:37] So I was applying for hundreds of jobs on LinkedIn, on third parties, such as

[00:21:43] Indeed, we have Glassdoor, we have for technical stuff, we had a Rickson's and

[00:21:48] all those kinds of, you know, online platforms where you apply for hundreds

[00:21:52] of jobs, but they didn't help me at all.

[00:21:56] So what I do was if I find a job or say on LinkedIn or Indeed or SIP recruiter,

[00:22:04] I don't apply right there.

[00:22:07] I rather look for the name of the company, then go to their website

[00:22:11] personally, go to the website and then find that position, apply over there.

[00:22:15] So what I found is that after working for five years, it's like you have a

[00:22:19] preference, I don't know how much preference you're going to get, but

[00:22:26] there is a kind of preference for a candidate making, creating a profile

[00:22:31] in their websites.

[00:22:33] They call it talent community, I think.

[00:22:35] And when you create a profile in their talent community, it's the recruiters of

[00:22:40] that company are highly inclined to find within their talent community and reach

[00:22:45] out to you rather than people, recruiters reaching out to LinkedIn first.

[00:22:50] So their first priority would be trying to find people in the talent community,

[00:22:55] which includes creating a profile in their website and applying through that website.

[00:23:00] So I created a profile on their, on the company websites, then apply on LinkedIn.

[00:23:04] So I applied on both of the platforms, apply on their website

[00:23:07] and also apply on LinkedIn as well.

[00:23:10] So this position with Darkvision, I found on their website.

[00:23:15] So I applied on their website first.

[00:23:17] And I don't exactly remember whether I've applied on LinkedIn,

[00:23:21] but I applied on their website.

[00:23:23] That helped me.

[00:23:24] So when I was trying to apply on their website, what I really did was to find a

[00:23:33] sense of like-mindedness, you know, like whether I'd fit with the company and how

[00:23:39] I can bring my skills to the table and help them.

[00:23:43] So I had to like really get down or what I have done and what I'm doing,

[00:23:47] how my skills can help them.

[00:23:49] And what do you think made the difference between the first three

[00:23:51] applications and the fourth?

[00:23:53] Like why, why did you actually get a better look on the fourth one?

[00:23:56] Oh, my profile.

[00:23:57] So basically things that I changed in the fourth by the third application,

[00:24:02] the fourth application is that my resume and the way I network with people

[00:24:07] on LinkedIn, all other platforms.

[00:24:09] So basically before my third application, I didn't have a good portfolio.

[00:24:15] That's number one.

[00:24:16] Number two is that I am active on LinkedIn.

[00:24:19] Way before that as well.

[00:24:21] I used to comment.

[00:24:22] I used to create posts if you look at my LinkedIn profile, but never making

[00:24:28] conversation in one-on-one chats or phone messaging, I was never into that.

[00:24:34] So networking and cold messaging was one of the top things that I did.

[00:24:41] By the time I got this job, probably third or fourth application,

[00:24:45] because I'm talking about like February, March.

[00:24:47] Before that, I was like, okay, commenting then, you know, sending them simple

[00:24:52] messages to add them into my professional network and all, but by the time when

[00:24:57] I joined your program, your bootcamp, I realized, okay, it's not the only

[00:25:01] thing that will help me get a job.

[00:25:03] So I realized I have to do networking, send cold messages, keep in touch with

[00:25:07] them, create a good rapport between you and the person and engage yourself

[00:25:12] in conversations, create boards, create polls, post about what you're doing,

[00:25:17] post about what kind of skills you're learning, any certifications, all kinds

[00:25:20] of things that will keep you motivated at the same time when you'll engage you

[00:25:25] and the other person in your network to start a conversation and make something.

[00:25:30] So that's what I did before this, before the third and fourth applications,

[00:25:35] I was kind of, I would say lying low.

[00:25:38] Is that a good word?

[00:25:39] Every, I don't know because I was very under the, yeah, because I didn't

[00:25:43] participate out there on LinkedIn profiles.

[00:25:46] I didn't network enough.

[00:25:48] And my, since I didn't have any good strong portfolio, my resume looked very

[00:25:55] typical, pale, I should say, not eye-catchy.

[00:25:59] So I had to trim that, refine my resume as well.

[00:26:02] So those are the differences, a strong portfolio, a good

[00:26:07] tailored resume and networking.

[00:26:09] That helped me throughout the entire process after joining your bootcamp.

[00:26:13] That's those are the three differences that I really valued.

[00:26:16] Right now I have a job, so now I realize, okay, these things,

[00:26:19] these three things helped me.

[00:26:21] One of the tasks that I have in my mind right now after getting a job is that I

[00:26:25] have to keep doing these three things and keep them updated and stay active on

[00:26:32] LinkedIn, so that's what I'm going to do.

[00:26:34] That's what I'm trying to do.

[00:26:34] That's awesome.

[00:26:35] One of the, one of the cool things about the data world is like you can always be

[00:26:40] networking and you always should be networking and you always should be

[00:26:43] improving because you never know when a company is going to have layoffs, but

[00:26:47] also it can help you within the company as well.

[00:26:49] When I first started posting on LinkedIn, I worked for ExxonMobil.

[00:26:54] I didn't really want to leave ExxonMobil at the time, but posting actually really

[00:26:58] helped me inside of the company and it gave me more allies and more, more, I

[00:27:03] guess like credibility within the company.

[00:27:05] So posting on LinkedIn is always good.

[00:27:07] So did you end up sending direct messages to people at Dark Vision, like cold

[00:27:11] messages when you were trying to go through the application process?

[00:27:14] Yes, totally.

[00:27:15] Yes.

[00:27:15] Because there is so much information on their website, but I really wanted to talk

[00:27:20] with the person who are working in that company.

[00:27:23] So I reached out to three to four technical, technical professions who are

[00:27:27] working in the same position or in that company Dark Vision and I talked to them

[00:27:34] and I realized, okay, I asked a few questions that I really wanted to know.

[00:27:39] I asked a couple of questions such as, okay, hi, you're working in this company.

[00:27:44] So you have been working in this company for a few years.

[00:27:46] What did you like the most about this company?

[00:27:49] If so, I told them honestly that I'm giving an interview with

[00:27:53] this company in this position.

[00:27:56] So do you have any suggestions?

[00:27:58] What would be the interview process?

[00:28:00] And so I researched a lot about Dark Vision before I got hired and as well

[00:28:07] as they did a lot of research on me as well, but before I got hired,

[00:28:10] it's kind of like two ways straight.

[00:28:13] So I asked them different kinds of questions.

[00:28:15] I talked to them.

[00:28:15] I connected with them on LinkedIn as well.

[00:28:18] And one of the few things is that they all had portfolios as well.

[00:28:22] They had their own specific website and they had a channel where they could

[00:28:28] attract like-minded people at the same time they can improve their network as well.

[00:28:32] So that's what I did, thanks to you.

[00:28:35] And I realized that, okay, this is helping me a lot.

[00:28:38] Then I reached out to different kinds of, I think I reached out to a couple

[00:28:43] of managers in that company as well.

[00:28:45] Oh, and then connected with them and asked them like simple basic questions

[00:28:50] regarding the interview process.

[00:28:51] And I got my ideas how to prepare for that interview.

[00:28:56] It helped me a lot.

[00:28:57] Just to kind of recap here, like you, I mean, when you're switching countries,

[00:29:03] it's always hard to land a job in that new country.

[00:29:06] So to go from India to Canada and to land this job, the things that I think you did

[00:29:11] exceptionally well is you didn't do the spray and pray method, right?

[00:29:14] You really tailored on certain companies.

[00:29:17] You created a really beautiful portfolio.

[00:29:19] If you guys haven't seen Krishna's portfolio, we'll link it in the show notes,

[00:29:23] but Krishna has a very strong portfolio with very strong projects.

[00:29:27] And then you were networking, you were sending cold messages, you were posting

[00:29:30] and commenting on LinkedIn and trying to genuinely create and foster relationships.

[00:29:35] And so really that's like the P and the N of the SPN method.

[00:29:39] And you really honed in on those.

[00:29:41] And it sounds like that's what made the difference between getting the auto

[00:29:43] rejection from the computer to ultimately getting an interview and

[00:29:48] then the offer in the end is really that P and the N part of the SPN method.

[00:29:51] Yes, totally.

[00:29:52] Totally.

[00:29:52] Exactly.

[00:29:53] Well, basically when I was building my portfolio, I realized that, okay,

[00:29:58] these projects now they are on out there on my website, they're out there.

[00:30:02] I have to make sure my professional network knows what I'm doing.

[00:30:06] So I realized that, okay, it's not just about putting your portfolio

[00:30:10] on the wall of on your LinkedIn wall.

[00:30:12] To make sure that people look at your work, I have to post it.

[00:30:15] That's one way.

[00:30:16] Post it on LinkedIn.

[00:30:17] I know I did a lot of projects, but no one knows what I did unless I posted.

[00:30:22] I tell them, okay, here's the project.

[00:30:24] Here are the skills that I am working on or I worked on.

[00:30:28] And then once I posted, one of the first things that happened is that some other

[00:30:33] persons have worked on that kind of topics and they commented on my post as well.

[00:30:39] And then that's one way to attract different people who worked on such

[00:30:43] topics and have such kind of skills.

[00:30:45] And then I connected with them.

[00:30:47] And then, you know, it's not just sending a request to add them

[00:30:51] into your professional network.

[00:30:52] I looked at their profiles, looked at their profiles and, you know, changed

[00:30:57] my script of cold messaging and then specifically send them and showing

[00:31:03] interest to have a chat, have a conversation with them and staying in touch with them.

[00:31:08] So I didn't just post it.

[00:31:10] I realized I have to write an article as well on LinkedIn, which helped me a lot.

[00:31:14] So writing articles on LinkedIn helped me in job search, very specific because

[00:31:20] when people comment on your articles, I look at their profiles and where they're

[00:31:25] working and that also helped me to find amazing companies, which usually you won't

[00:31:31] be able to find on just Googling stuff or finding on third party websites such

[00:31:35] as Indeed or other websites.

[00:31:39] So networking helped me a lot.

[00:31:42] And regarding the tailoring your resumes, it was very hard because a time occurred

[00:31:48] where I forgot the number of my resume because I created a lot of resumes for a

[00:31:53] lot of positions, changed my projects, changed the entire sentences, formats of

[00:31:59] resumes, so I had to like rename one is over the other.

[00:32:03] So I lost track at one point.

[00:32:05] So I realized, okay, tailoring your resume is important, but not that much.

[00:32:11] So I tried to stick with one format and then use the P and N more to get the job

[00:32:18] done.

[00:32:18] So it helped me a lot.

[00:32:19] Well, job well done.

[00:32:21] You did very excellent.

[00:32:22] You did a great job with the SPN method and was able to land that first day of the

[00:32:25] job in 102 days.

[00:32:28] So Krishna, thank you so much for sharing your story with us and telling us the

[00:32:32] journey of, you know, being in, in, you know, geophysics to switching countries,

[00:32:38] to switching countries, to switching countries, to landing a job in Canada as

[00:32:42] this data imaging analyst.

[00:32:44] We're looking forward to following your story.

[00:32:46] We're going to follow you on LinkedIn and see all your updates and posts about

[00:32:50] how your new job is and how the future goes.

[00:32:52] Surely.

[00:32:53] Thank you so much, Avery.

[00:32:54] Thank you once again.

[00:32:55] You motivated me to pursue my dreams and stuff.

[00:32:59] So I'm really happy for that.

[00:33:01] And I'm really happy to have followed you and I'm super excited to be part of the

[00:33:07] AI community and yeah, this is a great start for me to start my career in Canada.

[00:33:14] And this is my first job in data science.

[00:33:17] I'm super excited and enthusiastic to start my work.

[00:33:21] I haven't started yet next week.

[00:33:23] It's my day.

[00:33:24] So I'm very excited to begin my work.

[00:33:27] Yeah.

[00:33:28] Thank you.

[00:33:34] If you're like Krishna and you want to leave your field and become a data

[00:33:38] analyst, be sure to check out the show notes to find all of the useful resources

[00:33:42] that we have available to you.

[00:33:43] We'd love to have you take a look at any of those and they will all help you get

[00:33:47] one step closer to your data analyst journey.

[00:33:49] Thank you guys as always for listening.