Building financial modeling skills while playing an E-Sport Game with Professor Eric Kelley

Finance For The Future
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3 Video Views·Jul 15, 2026
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Video Summary
AI GeneratedPaul Barnhurst interviews Dr. Eric Kelly, a finance professor and Excel MVP, regarding the intersection of academia and financial modeling. They discuss the necessity of communication skills, the shift from \"solving problems\" to \"building systems,\" and the integration of Excel eSports into collegiate curricula to foster resilience and technical mastery in students.
If you can't tell the story behind your model and what your model is communicating,
it doesn't really matter how good your model is, people have already lost you.
They're not trying to find a loan payment.
They're trying to build a system that is going to take in a flexible set of inputs
and generate a loan payments and output.
Talk about what it's like coaching students,
because obviously coaching versus doing it yourself is very different.
There's an interesting twist to the coaching part that comes from the fact that...
Dr. Eric Kelly is a professor of finance at the University of Tennessee's Haslam College
of Business and a Microsoft Excel MVP.
He teaches undergraduate, MBA, and PhD students, focusing on quantitative problem solving,
scalable financial modeling, and integrated curricula.
He also leads the university's Excel eSports team,
promoting competitions and coaching the team to international success.
Just get your hands dirty and try a case.
You can sign up for the Microsoft Excel Collegiate Challenge, mecc.college.
The things financial modelers need to know, even maybe six months ago,
I would have said yes to Python, but I don't know.
I'm not big on turning everything over to AI, but...
Financial Modeler's Corner is the world's premier modeling podcast.
It is brought to you by Financial Modeling Institute,
the world's leading financial modeling accreditation organization.
Hello, everyone.
Welcome to another episode of Financial Modeler's Corner.
I'm your host, Paul Barnhurst.
This podcast is where we talk all about the art and science of financial modeling
with distinguished financial modelers from around the globe.
The Financial Modeler's Corner podcast is brought to you by the Financial Modeling Institute.
FMI offers the most respected accreditations in financial modeling,
and that's why I completed the Advanced Financial Modeler.
This week, I'm thrilled to welcome on the show, Dr. Eric Kelly.
Eric, welcome to the show.
Thanks, Paul. Good to be here.
Good to have you.
I think that's the first time I've called you doctor.
That's all right.
Most people don't.
I would imagine.
A little bit of his background, Dr. Eric Kelly is a professor of finance
at the University of Tennessee's Haslam College of Business.
Eric teaches finance students at the undergraduate, MBA, and PhD levels.
He emphasizes quantum problem-solving techniques
and challenges students to create robust, scalable models.
He is particularly passionate about developing integrated university curricula
spanning multiple courses that teach students to build financial models from the ground up
using the most innovative techniques available,
which we'll spend some time talking more about today, which I'm excited about.
He is also a Microsoft Excel MVP
and a faculty fellow with the Microsoft Excel Collegiate Challenge.
He worked alongside other MECC leadership
to create the organization's first regional competition in 2024
and continues to promote Excel-based esports competitions
by writing and testing cases and creating instructional content.
Eric also coaches his students Excel esports team from the University of Tennessee
that won the 2024 MECC World Championship and placed sixth in 2025.
Again, welcome.
I'm really excited to get to chat with you today.
I love that you're repping your university.
You got it covered.
Go Vols.
And I can see they're a Nike school.
Yes.
Well, we were actually, it's June.
I think on July 1st, we're Adidas.
Oh, are they switching?
Yeah.
The local university here just announced they were under armor
and I haven't heard who the new one's going to be,
but they just end, the agreement ends at the end of the year.
And so that just came out.
So, yep.
They all have somebody's logo.
You got to make the money whatever way you can.
Those are big contracts.
They stick around for several years.
And it was a big deal when we changed.
Yeah.
And they're just getting bigger and bigger
as the money keeps getting bigger in college.
Pretty crazy.
Sometimes, don't you wish you could throw football a little further?
Most times, yes.
All right.
You're the first guest we're doing this with, first or second.
We're doing a new career corner.
So I have a couple of questions.
It's kind of about your career around financial modeling.
First one we're going to ask you is,
how did you decide you wanted to be a college professor teaching finance?
It was really kind of a perfect storm for me.
A few things came together.
I enjoyed the teaching and learning process.
And so that applies both the classroom stuff as well as research.
Our job is to generate new knowledge.
I enjoyed math from really as long as I can remember.
I was always fascinated with how financial markets work.
And just generally, I like variety in my day-to-day duties.
And so the academic career, the PhD, and finance in particular,
it all just came together in that.
Makes sense.
You love teaching.
You love the math.
You enjoy markets.
Good combination to be a professor.
It works.
The next question I want to ask, and I'm curious to see what you say to this.
What is one skill that you think most financial modelers need to have
that most people would be surprised to hear you say that?
I would say oral communication skills.
I know modeling, it's a very technical thing, right?
But at the end of the day, we got to be able to communicate.
We got to be able to tell stories.
And so I think the oral communication piece is essential.
And when I say oral communication here, I'm not talking about preparing something
and sort of delivering this speech.
Rather, I'm thinking about the ad hoc, thinking on your feet,
answering questions in clear, coherent ways
so that your audience can understand you.
I think it's essential.
You can't tell the story behind your model and what your model is communicating.
Doesn't really matter how good your model is, people have already lost you.
A hundred percent agree.
And I've been guilty of that before where I think I'm explaining something well
and everybody's looking at me like, what are you talking about?
I clearly did not communicate that well, even though I thought I understood it.
Definitely more important than a lot of people think.
They all think we're just Excel nerds and we are Excel nerds,
but there's more to it than that.
Oh yeah, absolutely.
What do you tell college students who are interested in a career in financial modeling?
Before we actually get into like the nuts and bolts of trying to build a model,
I mean, I try to start with, let's just learn the thing that we want to model.
Let's learn what is actually going on behind the scenes.
And so in a lot of ways, it sort of starts with things like
just learning the financial statement, just how they fit together, the story they tell.
And then once you kind of have an idea of the types of things that you want to model,
then I pivot and try to get folks to think about efficient systems and processes.
I mean, it's not about doing anything once, it's about creating a system and a thing
where you can do tasks at scale.
And I'm curious, obviously you see a lot of students' first model ever
and they're very early attempts.
So what's maybe one of the biggest mistakes you see or craziest thing you've seen
kind of as you're seeing those early models?
Because I'm sure it's very new for some of these students,
might be their first time really ever using Excel.
I think it's just trying to solve a problem, whether it's big or small,
just for the purpose of solving that individual problem.
So how that translates into models, whether they're big or small,
is going to be like lots of just hard coded values.
Don't do that.
Like when you're taking a test and you need to, you know,
you're asked to calculate a loan payment or something like that.
Yeah, you're solving an individual problem.
But when we get into modeling, the initial thing that I think people need to learn is
they're not trying to find a loan payment.
They're trying to build a system that is going to take in a flexible set of inputs
and generate a loan payment as an output so that they can then go and change the inputs
and then get the right answer and not have to resolve the problem.
I mean, it's being very, very focused in solving individual problems
instead of thinking about system process.
And that totally makes sense because that's usually how we work in school.
You're just thinking, how do I solve this case?
I want to get the answers in, whether it's accounting or whatever it is.
And with the model, you're trying to teach them that, no, you're building a system.
So if you change the inputs, you make adjustments.
It will work continuously with you.
It's an evolving document.
Yeah, it's not something you just get the answer and move on.
Yep, exactly.
Exactly.
And it's interesting how long it sometimes takes that to click because we are so trained
not to think that way.
Yeah, I hadn't thought of it that way, but that totally makes sense.
Yeah, it's not the way we study.
It's not the way we typically learn.
Now, whether we should or not is a whole different debate that I'm sure we could
spend the rest of the time on, but...
Oh yeah, we can talk a lot about the system.
And it's going to be interesting to watch how it changes with AI.
I'm sure you have a lot of thoughts on that, but we'll get back to modeling for our audience.
So I know you're a big fan of Excel eSports.
Absolutely.
How did you first discover it?
What was your reaction?
Kind of tell a little bit of that journey.
I learned about Excel eSports the same way a lot of folks have learned about Excel eSports,
and that is they know David Brown.
So David is a finance professor at the University of Arizona.
And interestingly, I met David.
I was on faculty at Arizona at the time, and I was in the process of moving to Tennessee,
and we were in the process of trying to hire him.
And that was, gosh, 12 or so years ago.
But I met David, and I kept up with him over the years.
And then maybe five years ago, we reconnected and spent a bit of time together.
And he was kind of telling me the story about how Excel eSports worked.
And David, for folks who don't know, he is the founder of the Microsoft Excel Collegiate
Challenge, which is the big network and the big competition at the college level.
And David learned from Andrew Grigorevich, I have trouble with Andrew's last name.
Grigorevich, I think.
Yeah, I have a hard time with it.
So if David's kind of the father of college Excel eSports, Andrew would be the grandfather
of that, right?
Because Andrew started the Financial Modeling World Cup and the Microsoft Excel World Cup
or World Championship.
And when David kind of told me about how all of these things work, I was like, man, I'm
in.
This is awesome.
It's learning.
It's the opportunity to display creativity.
It's working under pressure and competition.
We love to compete.
It's something you can win at.
So why not?
But yeah, so I was immediately excited.
Love it.
And for those who are interested, David Brown was one of the first interviews I ever did.
Funny enough, though, I think it's episode three was David Brown.
But back to back, I interviewed two David Browns.
So it's the University of Arizona one, not David Brown that runs a consulting firm out
of Africa, because they were literally, I think, episode three and four of the podcast.
So it was kind of funny because I'm like, and this week I have David Brown in the next
week and I have David Brown again.
Tell our audience, what's it like competing?
Let's start with that versus coaching, because I know you've competed in the event as well.
Yeah, I mean, I've done a little competition, more coaching than competition.
But I mean, I think the way you think about it is you're going to walk in and you're going
to encounter some type of problem like you've never seen before.
Something completely new, maybe totally off the wall.
And you're going to have a few minutes to read, plan, digest, and then maybe 30 minutes
to just go at it and make as much progress as you can.
And I, at least I'm very used to just typing, type all day long by getting there and just
all tensed up and you're making mistakes and trying to move around and get things done
and trying to remember all the tools in your tool belt.
It's interesting what happens to you when you think you know everything and then you're
under a huge time crunch and you forget how to copy and paste cells sometimes.
But it's an interesting beat.
It's pretty cool though.
It is pretty cool and it is unique.
I've competed a few times, not a lot.
I think I've done four, maybe four or five times in total and it is definitely unique,
especially the first time you do it.
Yeah.
But I don't know, it's addictive.
Like, I mean, it's just like, I want to come back.
I want to do more.
It's just fun, a lot of fun.
Love it.
So talk about what it's like coaching students because obviously coaching versus doing it
yourself is very different.
Very different.
So certainly there's techniques and skills that they need to learn, but there's an interesting
twist to the coaching part that comes from the fact that, so these students, the students
that I work with and the students that are into this stuff, they're typically going to
be high achievers, also highly competitive individuals themselves.
But that brings this dynamic where you've got, you've got students who are very accustomed
to all their academic career, studying very hard, regularly earning A's, oftentimes attaining
perfect scores or near perfect scores on their exams, and then just kind of keep on going.
They just expect, they expect excellence and they're bright.
And so, so this is not unjustified, but in Excel esports, this is, it's so different
because achieving perfection is rare, even for the best players.
And so I've got to just drill it into my kids early and often to know that, you know,
you're probably going to see a problem that is too big for you to solve today,
or for sure in 30 minutes.
And in some cases, 50% may be like a really, really good score.
And to a super high achiever, that's a hard thing to stomach.
Yeah, somebody who's never got a B in their life to be sold, be happy with 50%.
Yeah.
But the thing that I try to use to hook them is this, while that experience doesn't look
like a test that they're accustomed to taking, it looks a lot like real life.
And that's a place where, you know, your life, your work life, at least is one
where a good goal on any given day is just to make as much progress as you can and just
have a place to start the next day.
So I think the cases are much more like real work than they are tests.
And good thing.
Totally agree.
And I'm curious, how did you decide that, you know, making the learning, because I know
you, and we'll talk about this, you've turned several of the cases into esports learning
cases for learning financial modeling, right?
You've turned that into a competitive game.
So you started saying, hey, let's do some of these esports.
How can I teach financial modeling as a competitive game, kind of an esports framework?
So how did you first come up with that idea?
How did you develop that idea?
Well, my background is in FP&A.
I am also passionate about financial modeling.
Like many financial modelers, I was self-taught.
Then I discovered the Financial Modeling Institute, the organization that offers the
Advanced Financial Modeler Program.
I am a proud holder of the AFM.
Preparing for the AFM exam made me a better modeler.
If you want to improve your modeling skills, I recommend the AFM program.
Podcast listeners save 15% on the AFM program.
Just use code PODCAST.
So, well, first of all, I can't take credit for the whole financial modeling in esports.
There are many greats that did that well before me, specifically Andrew and David and that
lineage.
But I did focus really clearly on the FMI stuff.
So that was, in some sense, it was new because it was a different set of material.
I mean, I already recognize, just watching my students compete in more kind of generic
cases that really didn't have anything to do with finance or more just general problem
solving, just watching how engaged they were, especially with things that they could do
in teams because they loved it.
They just thrived on working together and then putting a live scoreboard up so that
they could see their progress.
I was saying, okay, there is certainly something here, but what I was lacking was, I hate to
say it, but basically an enforcement mechanism to get them to a lot of students to do the
cases.
Because I mean, it's really kind of sold as an extracurricular activity and these are
busy kids.
I've got a lot of things to do.
And so I set out to find ways to bring the competitions into the actual classroom so
it was part of their actual course.
And so then, you know, I've got a captive audience and so it's great.
And so in order to do that, I had to take the actual subject matter that was being taught
in a given course at a given time and put it into the context of the model.
But it's really, in many ways, it wasn't that hard because if you think of a model
very broadly as just some mechanism that has some inputs, does stuff with those inputs
and then generates outputs that are useful for decision-making, that's exactly what
we're doing in many of our classes, especially those that have a quantitative bent.
And finance is just, it's perfect for that, right?
Because that's what we do in finance from a very basic level when we're learning time
value money, we're solving problems.
And so I just started taking these ideas and putting them into the case framework.
And I started really small with intro to finance topics like calculating loan payments,
calculating retirement savings amounts, things like that, moving into bond pricing,
stock pricing, some risk and return, building portfolios.
And then this past spring, I had the opportunity to do an honors class with a group of second
semester sophomores, all finance majors.
And so this was really the first semester when they're even taking finance.
And so I just had the freedom to just try stuff with them just to see what we could
do.
And we blew through all the material that I had planned in the first two-thirds of the
class.
And so at the end of that, I had another model.
Well, what are we going to do?
Well, I like the FMI curriculum.
I like the foundations package.
I know it.
It's a very good thing for them to learn.
So let's put them through that.
And on Fridays for a few weeks in a row, let's just do a case based on that material.
And so more complex than the original cases I was writing for them.
But by that time, they'd seen cases.
They knew how they work, inputs and outputs and all of that.
And so now they've just got a new set of material.
And so now they're building a revenue schedule.
They're building a cost schedule.
And they're making it all the way down to EBITDA and incorporating taxes.
And CapEx waterfall and getting all the way through an income statement.
It was pretty cool.
Just kind of one layer at a time and just see what they could handle.
And they delivered.
Sounds like kind of a little bit born on the FMI side of doing that out of necessity in
the sense of, okay, I got to go.
I got a few more weeks of material I need to do.
What am I going to do?
I like this material.
I like the framework of competitions because I know they can learn that way.
So let's start layering in these lessons in the competitions.
Absolutely.
And it worked.
I mean, it worked very well hand in hand.
I know many of your viewers have been through the material and they're familiar with Ian's
videos and some of his models that he's got in there.
And so my students were watching all of that.
And at the end of the week, it was time to show what you learned.
We're going to do a case on this.
That's great that you did that.
I know we're both, I'm a huge fan of the FMI.
I know as are you.
And I think it's a great way for college students to learn because there's such good
structure in it.
And Ian is, you know, he taught for 20 years.
He worked in the industry.
He now runs the Financial Modeling Institute.
You're not going to find a more connected, smarter modeler out there.
You can find others that are also just as smart and connected, but he's one of the
foremost in the world.
So it's just a really great way to have students to learn.
Yeah, yeah, absolutely.
What surprised you most throughout this journey as you started doing this?
What's been kind of the biggest surprise?
So it was really just the continued hunger that I've seen in these students.
These are impressive kids that I've gotten to know and gotten to mentor and see grow.
But, you know, I would push them and they respond and they're excited.
They're excited to come to class and try to beat their friends across the room.
And they're wanting to meet outside of class and learn more.
I've got to call this, this is the time of our filming.
This is what, June 19th.
I've got a Zoom call tomorrow morning with eight students just to touch base and see
how they're doing over the summer and talk about some esports cases that they can work
on as they continue to tune up over the summer and get ready for the fall competition.
So that's huge, huge, huge surprise.
Very pleasant surprise.
So just thrilled that they're responding the way they are.
That's awesome.
What I want to do here, and I'm going to encourage anyone who is listening, if you
get a chance to watch this section on video, is I would ask you to just take us through
a case example, kind of a little bit of how you built it, the levels, what the students
are getting from it.
So feel free here to kind of bring it up on screen and I'll bring it up and walk us through
one.
All right.
So Eric, I know you're going to kind of walk us through a case here.
So we have up on the screen.
So for those of you who may be listening audio, we encourage you to turn this on.
This is an Excel esports case.
Revenue minus cost equals EBITDA.
I like the grid professor on the side there.
Yeah, that's a brand that's myself and David Brown.
So we're putting this together and making some resources under that brand.
But yeah, so this is just the backdrop here.
For those who are very familiar with FMI Foundations, we're at about chapters three, four, and five
in their 10 chapter course here in this case.
And so what students have already learned is how to build a revenue schedule.
And then so there was a previous case for that.
And this case is the next week where they also learned how to build a cost schedule.
And so for the case, they're doing a revenue schedule and a cost schedule and then putting
them together and starting to build.
But just real quickly, the way these cases always work is there's going to be seven different
levels and they're going to get progressively more difficult.
So levels one all the way down through seven.
And then in each level, there are going to be 20 different games.
And so each row here is one of those games.
And so you can think of each level as a model.
And then each game within the level is representing a unique set of inputs that are going through
that through that model.
And so the idea for the students is you want to build your model for the level so that
the example works.
And then you want to quickly iterate through all of the different games to do basically
a sensitivity analysis really quickly.
And there's techniques that people follow with data tables to iterate through really
quickly.
But there's always going to be some inputs out here and then the output of the solution
is going to go here.
And then this case is linked to some assumptions.
And so these assumptions, this is an abbreviated version of what the FMI folks would put on
their assumption tab.
So it's just the ones that are needed here.
I'm having done the FMI of the best worst.
I'm like volume growth, sales price, cost inflation.
I remember me.
So we got our scenario.
So we got a scenario.
So thinking, you know, you're going to have a scenario switcher in your model and you've
got these variables are going to switch with the scenarios and then maybe some starting
values for, for, for some things.
But here in level one, very, very simple.
They're asked to forecast unit sales volume.
And so I guess they've got the actual revenue.
And so they're going to, they're going to divide that by price specter and their assumptions
tab.
And it's going to gradually get more difficult five years of sales volume, five years of
revenue, and then we're moving into costs.
And so here we've got some starting levels of actuals and actual cogs.
And so you're going to, you're going to, you're going to identify your, your variable
costs per unit here.
We're going to start switching scenarios and it gets more complex.
And so since you're doing a five year per unit variable cost, you'll have to reach one
of these.
You have to pull in an inflation rate from, from your assumptions tab and then gradually
getting more and more complex on to level seven, where here's your inputs.
So you've got a scenario that's going to link to your assumptions tab.
You've got some actuals, revenue, cogs, and SGNA expenses, and you're asked to forecast
the next five years of EBITDA.
And then the answer is just some check value, like a sum of five years of forecast.
These cases, I had one group, they were in, students were in groups of three.
And for a couple of these cases, I had one group that finished the entire thing in 30
minutes.
And so that was, you know, that was impressive because the spirit here is just like the FMI
spirit in that they've got to build these things more or less from scratch.
So yeah, it was a lot of fun.
Yeah, I know.
It's a great, great way for them to be thinking about it.
Because I would imagine the more structured they build it early on, if they think about
the five years and build it like a model and build it properly from step one, the easier
it becomes as they get down to levels versus if you just do what is the natural of, I just
got to get the answer.
I don't care what it looks like.
When you get to level seven, you're like, oh crap, I got to build everything now.
Yep, exactly.
You start realizing more and more because I was thinking that even as I was watching
them, like, okay, the way to set this up is do all five years, build my revenue schedule
and build the switches in place.
So as I get further down the line, it's just a matter of adding one more thing, switching
something and I have the answer.
Yep, exactly.
Exactly.
And I can even show you what a model, a final model might look like.
So here I've got it, got my solution, pardon my use of all sorts of tabs here.
You're all good.
We know how Excel works.
My audience is pleasant and I have the wrong audience listening.
So you mentioned you're going to bring up the solution.
So we have the solution here for each level.
I think we're looking at level seven solution.
So kind of walk us through what we're here.
Yeah, here's level seven where they're, they're basically working their way down
to EBITDA and you'll look over here to the, to the side.
This is where I built out the model and I pulled in a one level of assumption.
So the scenario, revenue, COGS, SDNA, et cetera.
And then I just really quickly built the revenue schedule up here at the top, cost
schedule below, working all the way down to EBITDA here.
And the way I worked my way through it is I just set up a, set up a data table over
here, or I've got a control cell that determines which of the games I'm on.
So here I'm on example, example seven.
So I could switch to game number, say one 21 and everything over here in the model
update and at the bottom line EBITDA, which ends up being the answer.
So they iterate through the data table, copy and paste all their answers over
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Love it.
Well, thank you for sharing a little bit of what natural case looks like.
I hope people enjoyed seeing that.
So thanks for that.
So I'm curious, you know, as you've done this with the students, what's been maybe
the biggest aha moment you've seen with the students so far?
I think a huge aha is when they set up their case in a way that they can quickly iterate
through all of the inputs.
And so typically it's done using a data table.
So when they get their model right, they think it's right because it's solving the
example and they're matching the numbers.
And then they quickly just run through every different scenario of inputs and they paste
their answers and they see that they're all correct.
That's pretty cool, right?
It's going from, hey, I think I built a model that got a right answer to my model's
actually robust.
I just changed all the inputs and it didn't break.
That's a pretty cool accomplishment for them.
And that gets back to your point of that's when they realize it's a system, not hard
coding because they just changed inputs and everything still worked and they can validate
it work.
Where in the real world, you don't get that luxury of instantly validating.
You got to go look at it and say, do I think it's still working right?
And set everything to zero and go, why do I have a hundred thousand of EBITDA?
Obviously something's wrong or whatever, right?
There are ways you could do it, but it's not a simple validation.
So I'm curious.
Okay.
So I'm going to switch a little bit here on this topic, but change from building the
cases to the back to the students.
What's the most memorable team name?
You've shared several of them on LinkedIn.
I know I've seen some fun ones from time to time.
The students totally fits for college.
Have a lot of fun coming up with your name.
So what's the memorable name?
Just for context.
So what we do is we have a scoreboard that is up on the board and it is an online Excel
sheet where all of their answers are feeding into it.
So we're tracking their scores in real time.
And so the students get to pick their leaderboard name, right?
For their, for their teams.
And so, well, I think the, the, the first competition I did an entire semester, the
winning team happened to pick the, the dim early fan club as their team name.
And I thought that was, that was pretty appropriate and other fun ones.
So gosh, look, this is, this is Excel.
And so there's all sorts of fun things that you can do with Excel.
So we would have things like Control Alt Defeat.
And then we would have Control Alt Elite.
One, one week we had Tough Sheet.
That was, that was kind of fun.
So gosh, back, back in April.
So April, and we, we all know what happened in June, but back in April, I did have a team
name that was Nixon Five.
So a little prophetic there.
But yeah, so, so they, they had a lot of fun with those.
Love it.
Yeah, it's totally something students would have fun.
What's the overall feedback been from the students?
Been positive.
I mean, it's been, it's been really positive on the fly.
You know, they'll, they'll, they'll hang around after the competitions and, and want me to
look at their models and figure out what was broken and why they didn't, didn't make as
much progress as they wanted to, which is great.
Because I mean, we, we all know that one of the best ways to learn is to fail, right?
You were, you remember the things that you mess up.
So on the spot, it's, it's, it's been good.
After the fact, it's even, it's even better.
It's like, I have students email me over the summer at their internships saying things
like, man, sure.
I'm glad we did all that stuff in the spring.
My Excel skills are just, they're just paying off big time now.
And so, so that, that's, that's neat, right?
When you, when you hear students say, in my job, this thing that I'm trying to do,
this thing that we did, it, it matters now.
And it's given me the leg up and, and, and putting me ahead.
And, and I'm the person that people are, are, are asking for help on.
So that's nice.
No, that's really cool.
I like that.
All right.
So I am curious, one more thing kind of on these cases and things is, what would you
recommend to someone else who may be considering doing it?
What advice would you give them?
If you have a professor listening or someone thinking they could use it in a, in whatever
scenario it might be, what advice would you give them?
Because obviously you've put a lot of time into this.
You've gone through a lot of that.
So we'd love some of your thoughts there.
I would, first and foremost, I would say just get your hands dirty and try a case.
And try a case is a, it's a tough ask in a lot of ways, because you can end up in some
pro case and you have no idea what even level one is.
And so you can, you can sign up for the Microsoft Excel collegiate challenge mecc.college and
get some of the archive cases there.
In the most recent year or so, MECC has been producing junior varsity cases.
They're all labeled JV.
And they're designed to have very low barrier of entry and using basic, basic skills.
But the real value of doing those is you, you just learn the process and you can learn
the process of kind of the way the cases work when the, the, the level of difficulty is
pretty low.
Then you can move in and start, start, start doing more difficult cases.
Another nice thing that is provided, we walk through videos.
So I've been very pleasantly surprised with how generous the Excel esports community is
with their time in that people will just, they'll just record videos, walking through
a case and describing how they did it.
And so many of the cases that folks can find and try on their own can find some experienced
player that's put out a walkthrough video that, that teaches you how to, how to work
the case.
So, so just jumping in and doing some and then watching other people do.
And it just kind of snowballs from there.
Yeah, I hear you on that.
So I want to move on to kind of our standard section as we move toward the wrap up.
So the first one is favorite Excel shortcut.
Control Z.
And tell our audience in case anyone doesn't know, what does control Z do?
Oops.
Yeah, exactly.
It undoes, it undoes.
You know how many times it will undo something before you can't do it anymore?
Do I know how many times?
Yeah, there's a limit.
Do you know?
I don't know the limit.
There is a limit.
A hundred.
What's the limit?
Okay.
Sadly enough, I tried once because I screwed something up quite a while ago.
And I'm wondering if I can get back there.
No luck.
So hundred year limit.
What's the most unique or fun thing you've done with the spreadsheet?
Kind of in your personal life.
Any kind of fun models you build or things you built?
In our first MECC regional competition, I worked with David Brown and case development.
And we had a case that had a cornhole board on it.
So there's a picture of a cornhole board on the case.
And students had to track where the beanbags landed and score a cornhole game.
Fun.
So how did the students like that one?
I bet they really enjoyed that case.
They did.
Now, some of them to this day chastised me because they didn't know the rules to cornhole
and thought that put them at a disadvantage.
But, you know, y'all learn somehow.
You can never learn.
If you're doing Excel eSports cases, there's going to be one where you're just looking
at and go, I have no clue.
I know that much.
All right.
So now we're going to go to our rapid fire section.
So how this one works is I'm going to ask you some quick questions around modeling.
And you have to pick a side.
You can't say it depends.
Then at the end, you can elaborate on one or two because I know there's nuance to almost
every one of these.
So circular references in models.
Yes or no?
Yes.
VBA.
Yes or no?
No.
Lambdas in financial models.
Yes or no?
Yes.
External workbook links.
No.
He said that with authority.
Most people do.
Should modelers primarily use keyboard shortcuts?
Yes.
Should models always be print ready?
Yes.
Is there ever a situation where merge cells are acceptable?
That's the strongest answer.
Should financial modelers learn Python in Excel?
No.
What about Power Query?
Yes.
How about Power BI?
No.
Okay.
Ish.
Should every financial modeler be able to build a fully integrated three statement model?
Yes.
I can tell you're struggling with you.
It's fun to watch.
Will Excel ever die?
No.
Have you used AI to help you build a model in Excel?
Yes.
Okay.
What financial statement is most important for modelers if you had to pick one?
Income statement, balance sheet, or cash flow?
Cash flows.
Alrighty.
What's your favorite LLM?
Clod, Copilot, Chat, GPT, or others?
Clod.
That's a pretty common answer at the moment.
If you could pick only one for all your models for the rest of your life,
which would you choose?
Sensitivity analysis or scenario analysis?
Scenario.
You struggled with that, but I've only had one person say sensitivity.
So it's interesting on that one.
Do you believe financial models are the number one corporate decision-making tool?
Yes.
Okay.
And then what's your favorite lookup function?
XLOOKUP.
All right.
I know you hesitated on a few.
Is there one or two of those you want to elaborate on?
The things financial modelers need to know, like even maybe six months ago,
I would have said, yes, the Python, but I just, I don't know.
AI can write some great Python functions for us.
And I mean, I'm not big on turning everything over to AI.
Like most people are not big on that, but, you know, writing some Python is,
I don't know, I'm kind of okay with turning some of that over.
And then like the Power BI, I don't, I know that a lot of the world uses Power BI,
but I feel like the modeler just needs to be conversant with Power BI as opposed to
really being an expert in it and sort of knowing what inputs and outputs need to be.
I tend to agree with you on both those.
I'm Power Query.
I say, yes, because you're just going to deal with misty data,
especially coming from FPNA.
It was, you know, that saved my life.
I can't even count how many times, so.
Well, and also just the idea of knowing you're going to have
bunches of files that are coming in that have the same structure
and the ability to just drop them in a folder and have something done to them.
That's a fantastic use of Power Query.
A hundred percent.
I love watching people's eyes open up and get big when they realize, you mean,
that thing I've been spending six hours a month on, I can do in like 20 seconds.
Yeah.
Used to spend about two hours to set it up.
You know, it's not that hard and they get really excited.
So that's one of my favorite things to see.
All right.
So as we wrap up here, kind of at the end of our time, any final advice,
parting words you'd like to give the audience?
Anything you want to share before we wrap up?
Well, I think like many other things, getting good at modeling, it takes practice.
You know, it's like learning to hit a baseball or learn to shoot a free throw.
And you've got to do it.
You've got to practice.
There's really not a whole lot of shortcuts for learning.
And fortunately, we're in a world now where there's all sorts of resources to help you learn.
A hundred percent agree.
It's never been easier.
The resources out there to decide you want to learn something.
It's just a matter of you deciding you want to do it,
is really what it comes down to nowadays.
So I really appreciate you carving out some time, Eric.
You know, we'll put your link in and your profile information in the show notes
you gave us so people can reach you if they want.
And I'm excited for this episode to come out.
Keep doing what you're doing with eSports and teaching the students.
I think it's a great way for them to learn.
So thanks for what you're doing there for all those students.
Well, and thanks for the conversation today, Paul.
It's been a lot of fun.
Yep. Enjoyed it.
Thank you.
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