My name's Rachael Finch and I went from working the night shift as

a quality assurance analyst to working fully remote as a business intelligence

analyst in less than a hundred days.

Speaker 2 00:00:07

That's Rachel Finch.

Speaker 2 00:00:08

She's a biology major who later worked the night shift at an alcohol manufacturing

Speaker 2 00:00:13

company as a quality analyst who was able to become a business intelligence

Speaker 2 00:00:17

engineer in just 95 short days.

Speaker 2 00:00:20

And Rachel was actually just like you.

Speaker 2 00:00:22

She listened to this podcast for 365 days before ever joining the

Speaker 2 00:00:26

Accelerator program and then within four months landed her job And now

Speaker 2 00:00:29

we're interviewing her on the show.

They didn't get stuck on the fact that I didn't have data analyst

experience They were more intrigued by how passionate I was to learn more and grow In

Speaker 2 00:00:40

this episode, you'll hear Rachel's full story of how she was able

Speaker 2 00:00:43

to land the job using the SPN method.

Speaker 2 00:00:46

She learned the right skills.

Speaker 2 00:00:48

I've learned a lot in Tableau.

Speaker 2 00:00:49

Created projects and put them on a portfolio and was able to showcase

Speaker 2 00:00:52

them to recruiters and hiring managers.

Speaker 2 00:00:54

She was shocked

that someone who doesn't really have a background in

business intelligence using Tableau had created a project like that.

Speaker 2 00:01:03

And she was able to use her network to get her foot

Speaker 2 00:01:06

in the door in the data industry.

A friend I go to church with.

One of her friends works at UnitedHealthcare, so he kind

of gave me the opportunity.

Stay

Speaker 2 00:01:14

tuned to hear Rachel's full story and see how you can do the same.

welcome to the Data Career Podcast the podcast that helps aspiring

data professionals land their next data job here's your host Avery Smith

rachel, welcome to the podcast.

This is so exciting to have you because you were actually a podcast listener

for one year before you ever join my program or anything like that.

You were a podcast listener and now you actually made it onto the show.

What do you think about that?

It's pretty exciting.

I'm really happy to be here.

I'm stoked to have you as well.

Your background is in biology, so you got a degree in biology and you

thought maybe you'd go into medical.

You thought maybe you'd go into nursing or something like that.

You ended up as a quality assurance analyst at Anheuser Busch,

uh, this alcohol manufacturing company working the night shift.

Now, I don't want to, I don't want to you know, uh, Anheuser Busch I'm

sure makes some, some great products, but I can't imagine working the night

shift was particularly fun for you.

Definitely not.

It was a big change of pace, different lifestyle.

I'm just happy where I am now for sure.

Let's talk about where, what you do now.

So you were working quality assurance analyst, uh, Anheuser Busch working

the night shift and, uh you were like, man, uh, data sure sounds interesting.

You listen to this podcast data crew podcast for a year and then January

21st you joined the accelerator program.

Uh, and then on April 25th, I think just 95 days later, you have an

offer for a business intelligence analyst role at Optum Healthcare.

That is not the night shift and is fully remote.

So let's, let's go through that journey in those 95 days.

What was, what was the biggest difference for you?

Like what, what changes did you make in your life in those 95 days?

Well, even like leading up to that, in the year where I listened

to your podcast I had a lot of free time and I knew I wanted to go back to school.

Something data, we use Power BI Anheuser for reports showing some

data every on a day to day basis.

So I kind of looked for a podcast I could listen to at night and I found yours,

not even knowing that you ran a bootcamp.

So in January, I actually.

Ran a half marathon.

I, on the same weekend, decided to sign up for your boot camp.

I think it was a very big momentum step for me.

I was just ready to get out of where I was.

And I actually had the opportunity to change from night shift to

afternoon shift for a quarter.

So I had about three and a half months which I dedicated my spare

time to working throughout the boot camp, applying to jobs.

And I think just knowing I had that almost like extra sleep gave me the power

to work through the bootcamp and really gave me the motivation to get a new job.

I love that.

I didn't know you ran the half marathon the same day, basically same weekend

that you signed up for the program.

I wouldn't say I'm a big runner, but I do, I do quite a bit of running.

And actually, um by the time this comes out, you guys will have to wait

one week, but if you're listening, you know, after it came out, I just actually

recorded a podcast about, about momentum.

And, um, I actually talked about running races as like a momentum analogy.

So I love that you had positive momentum going into the program.

Love that you spent the extra time cause like, no matter what, what you do in

your journey, whether, you know, you join the accelerator, whether you're just

watching YouTube videos, you're doing it on your own, whether you're, you know,

doing Maven or data camp or whatever.

It's going to take a lot of effort and it's going to take a lot of energy.

So I'm glad uh, that you cleared your schedule and were able to, you

know, put in the effort for a sprint.

Really, it was only like you said, a quarter, right?

Just, just less than four months.

Um, and you are able to land this job at Optum Healthcare as

a business intelligence analyst.

Um, first off, do you have any business experience?

I mean, I worked at a restaurant when I was

in college selling pizza.

That's probably about as much as I have for customer experience.

Um, business background.

So no, not really.

So, well, that's impressive that you're able to land this job.

Did they like your biology background at Optum or were they kind of

like, ah, we don't really care.

I think it was more so like other experience that experiences I had

that tied into my biology background.

I, at one point I wanted to be a nurse, so I had some like care aid job experience.

I worked in some different labs.

I even worked in a research department of a Rehabilitation hospital.

So I had some data experience with that as well as like working in

that type of patient population.

So they liked that part as well as the more like QA and technical

skills that I learned at Anheuser.

I just think that's really important to highlight that even though

you maybe didn't have business experience and, you know, maybe you had a biology

background, your, your quality assurance analyst role, you know, you had some

exposure to BI, you had some exposure to KPIs and metric stuff and stuff like that.

And even like as a nurse, which are, or as a caregiver, which doesn't necessarily

seem like it would tie into data at all.

It definitely has some ways that it ties in which, which is really cool.

But with your background, even with the bootcamp you were applying for jobs and

you were kind of struggling to, to land interviews at first because you couldn't

quite figure out the whole ATS, right?

Like it was, it was tricky.

Right, so when I first started, like, uploading my resumes

to the ETS softwares, I had pretty good scores, and then when I started

nitpicking my resume, my scores actually went down, which I thought was shocking.

You know, using keywords, some of them didn't even pick up on the words.

So that was kind of, you know, difficult experience and I think that's where

I really dug deep into the SPN method that you talked so highly about.

The networking part because that's when I started reaching out to other

people I knew in, you know, insurance companies or other healthcare positions,

and if they knew anyone that had openings that they thought I would

be, you know, an asset to the team.

That's so cool.

And I think it's so, it seems so simple like I talk about the SBN

method all the time, uh, right.

That you need more than just skills to land a day job.

Skills are a part of it, but it's just a third.

You need the portfolio and then you need the network.

And it's so easy to be like, yeah, I agree with that.

I want to follow that but very few people ever actually get very far on the P and

even fewer get anywhere on, on the N.

And so the, let's talk about the N just a little bit here.

So you're like, crap, I can't get past these ATSs.

I'm never going to land a data job unless I can figure out

how to get my foot in the door.

And the easiest way to get my foot in the door is if I know someone that's

at the end part of the SBN method and so where did you start looking?

Just like friends and family, where you like going through your

phone, where you're going through LinkedIn or Facebook or something.

I actually did take a step out of my comfort

zone like you push us to do.

I, you know, looked in, I'm in Florida in the Jacksonville area,

so I was looking in this area.

Just randomly cold messaging people that were in data roles,

asking them how they got there.

Oh, do you have any like you know, advice for someone like me that wants

to break into this field that might not have the exact background, but has the

skills and is working towards the skills?

And I actually ended up a friend from my last job had a friend who worked

for UnitedHealthcare, and just to break it down, UnitedHealthcare and

Optum are kind of like sisters, they're together in the UnitedHealth group,

so he would, he let me know if there was anything I saw job wide to let

him know, and he would Recommend me.

Okay.

So you basically messaged a friend and you're like, Hey,

do you know any opportunities?

How'd you know this friend?

Was this just like someone from like high school or something?

Actually, a friend I go to church with one of her friends works

at UnitedHealthcare, so he kind of gave me the opportunity, if I had, if I saw

any jobs that I liked, to let him know and he could, Recommend me or let me

know a little more about that position.

That's so cool because actually the way I landed my first data

job was also through a friend at church.

So if you're, if you're trying to land a data job, I guess you

guys just got to get to church.

Cause that's, that's where all the data jobs are.

Mine was a little bit different where I was.

I was at, I was in college and I went home for Christmas and I went

to church with my family and I saw this guy that had been like a church

leader like a church youth leader.

And we got talking and at the time I was still a chemical lab technician and I was

basically getting paid, Basically minimum wage, maybe even less than minimum wage.

And, uh, I was just telling him about that and he's like, well, did

you know that I work at a lab right next to, you know, your college?

And I was like, no, I did not.

And he's like, yeah, you should come check it out.

I said, great.

I will.

And so I went and Took a tour and then they basically were like, well, you want

to be a chemical lab technician here?

That's that's a great offer.

Sure.

I'll do that.

You guys are paying more than minimum wage.

I'll take it.

And then eventually that's when I became a, the company

I became a data analyst for.

So I guess the moral of the story for everyone listening is they just, they just

got to go to church to find a data job.

I think so too.

Okay.

Awesome.

So you, you reach out to this friend, you're like, Hey,

Just keep an eye open for me.

And how long did it take for, for them to send something back?

Well, I had seen a job that looked interesting.

It was kind of had a vague description.

So I sent it along his way and just let him know I was interested in it.

And I applied and he actually had emailed the manager directly.

And I got a call back from the recruiter, maybe two days later

saying that, you know, they kind of got a raving review about me.

They'd like to set it up an interview.

It was kind of just a brief phone screen at first.

But I guess she liked what I had to say and it progressed from there.

I want to just pause because you basically went from, you're

getting like, like Fs on the ATS tracker.

no, I'm not even kidding.

It really must be a church thing.

You're getting Fs and then all of a sudden

you're talking to a recruiter.

You got, you got a direct line to this hiring manager right away.

And I think that just really goes to show how valuable the, the end was, because

if, if you didn't do that, if you didn't reach out to this person and from church,

You know, you, who knows if you'd have a job right now in the data world, right?

You might still be working the night shift, but it's all because that, and

was it nerve wracking, like sending that first message to that friend and being

like, Hey, can you help me out here?

It was because I knew he had like a pretty high up role.

I but I didn't want to like seem like I was using our connection kind of

per personal gain, but I've realized like since kind of stepping out of,

you know, comfortability that people really want to promote you and really

want to help you when you're driven.

So, that's what I've seen gaining this connection, now

we have one on one meetings.

He lets me know if there's anyone I ever want to talk to just by email to

network with, like he'd set that up.

So if anything, it was a great choice on my end to kind of like put

the ball in his court and send it down, down court to other people.

I love that to send it.

I fricking think that's the way to say it right there is because like, it is super

nerve wracking to send these types of messages, but as long as you're, like you

said, like you're ambitious and you're, you're a good person and you're not.

Like just trying to use them like you actually value their

friendship and you're just like.

Hey friend, can you help me?

I mean, think about it.

If you, if your friend came to you and said.

Hey, can you help me?

And you actually could help them.

You'd want to help them.

Right?

So I think we get in our head and be like, wow, no one wants to help us.

But it's like, if someone came to us and we had the opportunity to help.

We definitely would.

And if we don't, we just say, you know what, sorry, I can't help.

And for, for us or for whoever's asking, they're in the same

boat that they were earlier.

So really there's not much of a, of a lose.

It's a low risk, high reward situation.

So I'm proud of you

Thank you.

taking the initiative and doing it because there's a lot of people

who don't because they're, they have fear and you, you pushed past the fear.

I want to talk about when you did talk to that recruiter.

What, what did the recruiter say.

What were they like interested in you for.

Like what, what was that conversation like?

I will say like, she asked me specific questions and I

had mentioned I was in this bootcamp and she was really intrigued by that.

I don't know if it's an up and coming conversation in a lot of these type

of recruitment calls, but she wanted me to go into more detail and I

was able to provide these projects.

At this point I don't think I had gotten to the NBA Tableau project, but I did

the education project at this point.

So I got to talk on that a lot and she was from Massachusetts, so it kind of

like made a further connection for her.

So she got to see the project and originally in my resume, she didn't

know that my projects were hyperlinked.

So she was able to go back to the manager and the director and let them know they

could actually see my work, not just read the little description about the project.

So that's super cool.

I think that, that one, you had the projects and, and that two,

they didn't realize it at first.

And then they're like.

Hey, do you have any experience with Tableau?

And you're like, yeah, just click that, that title right there.

And then boom, your, your beautiful dashboard pops up.

And I didn't know that the recruiters from Massachusetts and that particular project

that you did was on Massachusetts data.

That's just super lucky.

Once again, cough, cough church, probably.

But like the fact that like, this recruiter could go through and

be like, Oh, look at this County.

Like I totally understand the data that this County versus that County and, and

kind of enjoy and have those aha moments.

I think that's really what the portfolio is all about.

So you kind of nailed that being able to, to show them.

Hey, look, I, you know, I have a biology degree.

I've kind of worked in the medical field and now I'm kind

of working as quality assurance.

I might not have the ideal data background, but look, here's some

some evidence that I can actually do what your job description says I can.

.That must've been kind of a fun feeling to watch them look

at your portfolio in real time.

It was cause like, I know throughout the bootcamp,

I was like, Like we said, a marathon, no, it was a straight sprint.

Like I wanted to learn as much as I could to build that portfolio,

to show it off to my network.

So it was really rewarding.

Worth it in the end.

Okay.

Let's talk about the interview.

So recruiter interview was, was the first phone call.

Is that right?

And then what happened from there?

And then she set up an interview with the director of the BI

team and then the manager of the BI team.

And how did those interviews go?

I

That one was great.

The first interview was great.

She said at the beginning, like, this is just a conversation.

Don't be nervous.

And that's, All it felt, I didn't have any nerves.

Usually I'm like kicking, playing with my feet under the table,

kind of like moving in my chair.

But I didn't have any nerves at all.

It felt so easy.

And I could talk on the projects we did.

I could talk on Tableau.

I could talk on some of the, you know, metrics and KPIs I learned while I was at,

in my role at Anheuser and using Power BI.

So they didn't get stuck on the fact that I didn't have data analyst experience.

They were more intrigued by how passionate I was to learn more and grow in a role.

so I think that's what made me stick out to them.

really liked that because in a lot of interview situations.

It can feel like, Oh wow.

You haven't done any data analyst work in the past, huh?

Okay.

But if you give them like so much stuff where you're like,

I'm super excited about this.

I paid my own money and on my own time, I'm learning to do this.

Here's, you know, seven of my projects on different themes.

Go look at it.

I think you're giving them so much stuff that they could think about and

talk about and relate to that it kind of makes the interview process a lot

easier for them and you in that way.

So, I'm glad, I'm glad it went well.

So that was, that was like the first, the first interview.

What about the final interview?

Did that go well?

So the final interview was about two weeks later and

it was everyone on the team.

So I believe six, five or six people.

And I was straight nerves.

I was so nervous that whole time.

I was like, I wonder if they can see me fidgeting.

It was that bad.

And I felt like I answered a few questions really well.

But then it was like I got caught on some word and I just Down downward spiraled in

my head the whole rest of the interview but I remember like a few questions that

were just like probably to calm me down and kind of like joking with them and

I think that might have You know, spark some connection, but they had mentioned

that I was like one of the first people in the second round, so not to be, like,

afraid if I don't hear back for a while.

That's, that's good.

I think it's really important to not necessarily make jokes, but

have that human connection as part of the interview process.

When I interviewed Alex, the analyst, we kind of talked about what he looked

for when he was a hiring manager.

And one of the things he said is like, I want to make sure that these people

are going to be part of my team.

I want to connect with them.

I want to be able to you know, vibe with them and kind of.

Be their friend.

So I don't, I want to say that's important, but that almost makes

it feel like even more nerve wracking in the interview, which

people probably don't need.

But I think, I think you're right that like that, that friendliness

and you're just, you're, you're kind demeanor in general probably,

probably went pretty far.

And so that was two weeks after the initial interview.

Is that right?

Right.

It might have been a little longer.

So I left that interview thinking I did terrible.

But even, even they reassured me a few things like, Oh, none of them ever do

tab low before they started in this role.

So I felt like, okay, I kind of have a leg up.

But when they said like, don't be afraid, it might take a while.

I was like, okay, I need to start looking.

Cause I did terrible.

But two days later waking up at five 30, you know, night shift, waking up.

I was actually going to a concert that night.

So I was going to go into work after going to a concert and I had an email

saying the interview wanted to schedule a final offer call, which was just crazy.

Cause I thought I bombed that.

That's a good feeling to have.

So that was right before the, the concert.

And I called out of work that night.

That is, that is awesome.

Okay.

And then you scheduled the, the final offer.

Um, Wow.

Before we get into kind of, first off, congratulations.

that's amazing.

And hopefully everyone listening is clapping for you right now and jumping out

of their chairs because that's amazing.

I want to highlight two things.

That I think are, are worth pointing out that one, you mentioned that the

people interviewing your coworkers.

This panel, they, when they had gotten hired, they didn't know Tableau before

and you had at least known a little bit, maybe you'd never used it on the job,

but through the bootcamp you had learned.

A lot of people argue with me online that there's no entry level jobs

that don't require experience.

Now I think you, you had some good experience, like you said, as a quality

assurance analyst, but it's not like this required five years of data

analyst experience, but these jobs might not be available on LinkedIn jobs.

These jobs might not be available on Indeed.

It really took knowing someone that SPN method and the P part of the

SPN method to even make it that far.

So I just want to highlight that and the second thing I wanted to

highlight that you did well is you're like, okay, that interview is over.

I'm going to go back to applying for jobs because so many people will land

an interview and they'll get so excited and they'll make it to the next round

and they'll prep and they'll make it to the next round and they'll prep.

And like you said, this was like a two to three week period.

And if you're not applying for jobs in that two to three weeks and you get

rejected at the end, you've basically just spent a month And you have no new leads.

And so people often just like stop applying for jobs and they'll end

interviews and you got to keep applying because unfortunately rejections happen.

Like it's just part of the process.

So I love that you, you were like, okay, I'm going to start interviewing.

I'm glad I started applying.

I'm glad you didn't have to apply very long, but I'm glad

that you had that attitude.

Anyway, sorry.

Those, those are my two tangents back to your offer letter.

So you're excited.

You get the offer letter.

Are you, who are you calling?

Who are you telling first?

My fiance, my parents one of my close friends at work,

That's awesome.

and then I reached out to you when I needed some,

some advice for negotiation.

Yes.

That was just one of my favorite parts of the bootcamp when I cause,

cause in the bootcamp, we have our community and some people update like

on everything that happens, right.

They'll be like, I got an interview.

I got rejected.

I got an interview.

I can't remember.

Yeah.

If you would, if you had told us about landing the interview or not, but I do

remember seeing your, I got an offer, come, come through on the community page.

And I'm always so stoked when that happens.

And then you and I went to some, some DMs because you were going to have

that call, I think like that morning.

And so we were talking about salary and, and You know, what you could possibly,

you know, try to negotiate salary wise.

And we were able to, to get a little bit higher salary than they

initially offered which is great.

But regardless, even, even if we didn't negotiate, you had a data job

that was fully remote, which is kind of the goal that you started off with

on January 21st, if I had to imagine.

Right.

Yes.

A hundred percent.

I wanted, my goal was even if I didn't get a job by June, I was going

to quit and then full time apply.

That was my goal.

And you, you beat it by the, the crazy thing is you had an offer

in hand, I think, April 25th or 26th.

And like two to three weeks before it was like early April.

So basically like you went hard February and March, I mean, end of January,

February, March, beginning of April.

So really, yeah.

Like you, you had this interview two, two and a half, three months into, into this

journey, which is absolutely incredible.

Now let's talk about your job now.

You like it?

I love it.

It's, it's great.

I'm still learning a lot.

No, I just, Celebrated my three months there, but there's just so much more

to be learned and I'm excited for that journey and I don't plan on leaving.

So lots of growth for me.

Are they, let's, let's talk about that.

So are you learning a lot on the job?

Yeah.

So my team actually works with Tableau.

We use SQL a little bit, Power BI a little bit.

And then like an online platform called healthy analytics but a lot

of the work is kind of separated.

So there's like a data architecture team, a data management team.

So we don't really use SQL.

Like we can go in and see SQL views and query it a little bit

to like check the data, but we're not writing anything in SQL.

So, it's not super coding heavy, which probably is why it was a good

fit for someone that was a beginner.

But I've learned a lot in Tableau, and I think that's like the coolest part

because originally I was like, I don't know if I'm so good at visualizations.

The iFood project, I remember, I can, it's scarred in my brain.

I made a bar chart with red and green, which is like colorblind 101 a no no.

And I'm like, should I go and take that down?

but, just like a bunch of, a bunch of like different

accessibility things I've learned.

For how to color and size visuals, and then of course like, a lot

of those really cool visuals you see on like Tableau Community.

They really are just way too intricate for like people to even understand.

So learning how to make a bar chart and a line graph and like a

scatterplot, like that's all really what you need to know fundamentally.

I, I love that.

And you, you are great at date making data viz.

And I love that you're learning that's, that's part of my philosophy

of getting paid to learn, right?

Is like, I, obviously like my bootcamp does not teach everything in Tableau.

One, I don't know everything in Tableau.

I don't think anyone does.

But two, if I did, it would be like a year long bootcamp of just Tableau stuff.

Right.

So, so my philosophy has always been, let's teach you the bare minimum that

you need to land a job and then you can get paid to, to learn the rest.

On, on the job.

That's, that's the goal.

So I'm glad to hear that, that you're learning and, and also you

have a pretty fun announcement in your learning journey as well.

You want to share with the audience?

Yeah.

So I started my master's in analytics just a week ago now through Georgia tech.

So I will be taking that journey for a while.

But I'm really excited about that too and that was one of the, you

know, negotiation points is after six months, my company gives a really large

stipend towards education, which was.

Just like what I would have had at Anheuser Busch is just

a fraction compared to this.

So it really am getting paid to learn that and in downtime on my job they promote

like the LinkedIn learning courses.

Get to watch a bunch of tutorials and Tableau and Power BI.

So really what you say about getting paid to learn is such a big thing.

That's that's an important, you know, caveat there that I don't

think maybe a quality assurance analyst necessarily understands or

like a teacher would understand is like as a data analyst, you're not

working from 9am to 5pm constantly.

Like on everything that needs to get, like, you have like a

free hour every once in a while.

Right.

And like you said, like your company pays for different trainings that

you could possibly, you know, go and participate in there.

You have this education stipend.

I am curious.

So you already have a data job.

Why are you getting your master's?

I'm curious to hear

Honestly, just so I can learn more.

I don't have a big, you know, programming background background,

so I'd like to learn more in that.

But also, I don't know if I wanna pursue like the business track or more

of like, like machine learning and things like that, that maybe taking

classes forces me to learn more.

So I think, you know, take advantage of the opportunities your company gives you.

So.

a hundred percent.

I'm with you.

I, I actually, I took the same masters that you're taking.

And I started that my like, really like after I'd been promoted from

my first data job right about the time I started my second data job.

That's when I, when I started that and it was, it was mostly because I

was like, I I'm already in the field.

I love the field, but I want to make sure that like I can teach in this field.

So I could eventually go on to start data crew jumpstart.

I didn't know that at the time, but, but that was kind of like

what, what I was thinking, you know?

So I think it's awesome.

I think it's, I think it's great.

And I think you did it in the right order, right?

Because I mean, the program that you're doing in the end isn't

millions of dollars but you know, it's, it's thousands of dollars.

I think it's a, it's a good program for price wise, but a lot of people will

spend, you know, 40, 000 and then still not have a data job by the end of it.

Right.

And so I think you did it in the right order where it's like, I got the data job.

I got my fully remote work.

I enjoy, you know, doing what I, what I like, and they're going

to pay for me to go to school.

I think that is the correct order to do it.

And so job well done on optimizing that.

Thank you.

Nice, nice little plan words there.

Exactly.

Okay.

Oh, I didn't even catch that.

I just caught it now.

Oh man.

Long day.

Okay.

Well, that is, that is so amazing that you went through this, this journey.

You know, going from biology landing this, this, this data role what do

you feel like was, was the biggest factor for you in your journey?

Like if you were to, to meet, you know, Rachel from let's

say a year and a half ago.

um, What would you tell Rachel?

Probably sign up for the bootcamp sooner.

Um,

There's just so many like, similarities that my story has with yours that

I was like, I have to do this.

Like, and then just like not giving up.

I know motivation gets really low when you're, you know, spending

hours on the projects, and then the write up comes, and the write

up's like the longest part for me.

But just like being consistent, and I know I'm not super

great at posting on LinkedIn,

But throughout the bootcamp, I was pretty good about it.

And just like working with the community.

I know I had like talked to a few people in the bootcamp and I spoke with someone

that was a BI analyst in Anheuser Busch.

And then I got someone in the bootcamp to talk to him as well.

So just like using that network was really important, I think.

And definitely, you know, like you say, not, not letting

fear get in the way of things.

I think you did a great job, a job of that

networking and, and ignoring fear.

Rachel, it's been such a pleasure to have you in the bootcamp and on the

podcast and, and hear your story.

And thanks for sharing your story with the thousands of people

that, that will listen to this.

I know that they can take a lot for you.

So thanks for coming on the show.

Thanks for having me.