Category Archives: Data

And so it begins…again.

Hi everyone! DesignGEEK here.

Alright so word of warning this is probably going to be a long one. Stick with me here…or don’t, no pressure.

Where to begin? Well, I see that our last post on here was in 2016…and it’s now the last quarter of 2018. What can I say except, life. As DataGEEK mentioned, in 2016 we were planning a wedding, then we had our wedding in 2017, went on a week-long honeymoon to Paris & London that we paid for in points and miles (I’m sure DataGEEK will do a post on that later), then we were stuck in Hawaii for a month after my dad (who is doing great now) had a heart attack, and then we bought a house, which we are still settling into 5 months later. So yeah, life. It’s busy. Always.

So why start this…blog? brand? thing?…up again now? Well, I quit my job. I wasn’t happy and we decided that it would be better for me to quit and focus on getting a job I enjoyed rather than keep trying to work, job hunt, and be unhappy.

So what’s the plan? Well, I plan on job searching, but I’m hopeful that I can also spend time on here. I plan on using GEEKinSTL as a place to be creative, share my designs, and honestly, learn wordpress.

So that’s the plan. That’s why now.

I will admit, it’s hard for me to just jump into this. I am a bit of a perfectionist, so doing this without having our site and logo and everything “perfect” is hard, but as Bobby Bones says, it doesn’t have to be perfect, just start. So here goes.

I think I’ll end by reintroducing us and what we’ll be doing (or trying to do) here. I think my husband said it pretty good in our first post:

Who is GEEKinSTL?

Since we’re just getting started (again), might as well start with an introduction. GEEKinSTL is made up of two distinct parts: DesignGEEKinSTL and DataGEEKinSTL. Both of those parts will become more obvious as this site and identity, builds, but for now it should be pretty obvious that we’re a couple of geeks in St. Louis.

What is GEEKinSTL?

GEEKinSTL is going to be our outlet to do very geeky things, including Etsy freelancing, Pinterest-style DIY, becoming involved in sports analytics, or talking about DataGEEK’s near-obsession with points and miles. And, let’s be honest, there will probably be some Star Wars. And Doctor Who (yes, that’s how DataGEEK proposed and was a big part of our wedding).

What’s next?

Will our logo be redesigned? Will we keep referring to ourselves as DesignGEEK and DataGEEK? Will we actually post? Well, you’ll have to come back to see! Or follow us on Twitter or Instagram: GEEKinSTL

Until next time, GEEK out!

 

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#30JobsIn30Days: Update

Good morning world, DataGEEK here.

So much for #30JobsIn30Days. But the point isn’t to actually hit that number, right? It’s just self-motivation to get it done (#DoIshWeekend) and to get the job done, right?

Maybe. Maybe not. But that’s my story and I’m sticking to it.

Good progress today though, after a weekend off and a Monday that was too hectic to get anything done (by the way, did you know that DataGEEK and DesignGEEK are planning a wedding?), I was able to get two totally different applications out today, and already have another opportunity identified for tomorrow or Thursday. So hopefully we’ll keep this progress going, though with the weekend of the 4th looming, it’s probably going to hit a wall quickly.

Today’s applications were to evolve24, a St. Louis based analytics and research company, and Gainsight, a customer service company headquartered in California but with openings in St. Louis.

#3oJobsIn30Days progress (3 in 5 days):
6/24: Riot Games
6/28: evolve24
6/28: Gainsight

Good morning world, DataGEEK here.

There’s nothing quite like a challenge to give us something to strive for, even if it’s relatively unattainable. You still have to be realistic, but even an unrealistic goal is worthwhile if progress is worth the effort.

Case in point: #30JobsIn30Days.  I wanted to start this a few weeks ago, but better late than never. I want to apply to 30 jobs in the next 30 days; or at least something close to that. Like I said, if just making progress is worthwhile in itself …

Today I started by applying to Riot Games, the makers of hugely popular League of Legends. Riot was also represented at the Sloan Sports Analytics Conference in March by RiotMagus, who I had the opportunity to speak with.

This is going to be a difficult goal anyway, but starting it on a Friday with a holiday weekend on the horizon probably isn’t the best idea! Maybe it will have to be #30JobsIn30Workdays? We’ll see!

#3oJobsIn30Days progress:
6/24: Riot Games

#DoIshWeekend: Day 2!

Good afternoon for the second straight day! DataGEEK here.

Following on the heels of a relatively successful day yesterday, I thought I’d document what I’m up to today. It probably won’t be as productive as yesterday, or at least as monumental (getting a computer set up is such a simple thing, but what a difference it makes), but it’s still important to be productive. And I’m pretty happy about how the day started, so …

  1. Take recycling to the St Louis Recycling Extravaganza run by @stlouisearthday
  2. Finally take the business cards and contacts I collected during #SSAC16 and send thank yous and follow-ups
  3. More to come!

#DoIshWeekend

Good afternoon (again), DataGEEK here!

With DesignGEEK out of town for the weekend, we both decided that this needed to be a weekend for me to hunker down and get stuff done. Inspired by Jacob Rosen’s tweet during #SSAC16, I decided to call this #DoIshWeekend.

Step 1? Set up my new(ish) Alienware X51 in our study. Last weekend, we both cleaned up the study, and we finally had room on our corner desk for the dual-monitor setup. But I wasn’t sure I had the right pieces to connect both to the PC, and still had the keyboard and mouse to hook up as well. Now? It’s all set up, and it is so nice to have a desktop again. Laptops and tablets are really nice for portability, but there’s just something extra productive about a desktop; at least for me.

What’s on tap the rest of the day? A few things, and I’ve still got some of the boring day-to-day adult stuff (bills), but if I can at least make this a more productive weekend than usual, that will be a win in a big way.

Anyway, here we go!

#DoIshWeekend rundown

  1. Set up computer, install antivirus
  2. Factory reset Nexus 7
  3. Access Dropbox again and get access to analytics data
  4. Install R, Rcmdr, and ggplot; play around with #rstats
  5. Install CS3 Master Collection

Okay, not quite as much done today as I wanted to get, but all things considered I have to be pretty happy with staying productive enough to get that much done.

Until next time, GEEK out!

#SSAC16 wrap-up

Good afternoon!  DataGEEK here.

It’s been three weeks (or so my WordPress tells me, I can’t believe that it’s really been three weeks already) since my last post, which was in the middle of #SSAC16, the Sloan Sports Analytics Conference. Day Two of the conference was a blur, and very busy, so I never got a chance to write a recap of Day Two.

Day Two of #SSAC16 was more of the same of Day One, though I definitely felt less overwhelmed and more like I belonged at the conference. Meeting up with Bill Connelly of SBNation/Football Study Hall near the end of Day One made a big difference; Bill is one of my idols in sports analytics, and we’ve had a decent relationship on Twitter over the years, so meeting him in person went a long way toward making me comfortable.

Without further digression, some takeaways from #SSAC16 that I didn’t address in my Day One post: Continue reading

#SSAC16 Day 1: Where I both wonder what I’m doing here, and remember why, in the same day

Good morning! DataGEEK here.

The MIT Sloan Sports Analytics Conference is in its tenth year, but it was my first time attending. So I had no idea what I was getting into before the event started. In the span of just a few hours, I went from feeling overwhelmed and out of my depth, to remembering exactly why I love this industry and why it interests me so much. I was able to gain some insights and come away with some conclusions, so that’s what I’m going to talk about this morning.

Conclusion 1: Who Knew That Company Did Sports Analytics?
As I write this, Day Two of the conference has begun, and right now, Noah Fischbach, of Gracenote, is participating in the #RiseofBigData panel. Obviously, Gracenote has been involved in big data for a long time with music. But Fischbach’s background includes the NFL and Fox Sports, so his position is not really part of the music side.

Similarly, Booz Allen Hamilton is taking what they’ve learned in supporting the Department of Defense, and applying it to sports. They seemed to be more in the “we want to be involved” phase rather than actually in sports, but I still didn’t expect to see a a defense consultant company here in Boston.

Conclusion 2: A “Sports Analytics” Conference Is Very Specific, But Also Very Broad
Daryl Morey, who you probably already know is the current GM of the Houston Rockets and co-founder of the MIT Sloan Sports Analytics Conference, mentioned in the opening remarks yesterday that the first conference was called “Sports Business” rather than “Analytics”, and that he thought the change was a very good decision. He’s probably right. But the scope of this conference is impressive.

Sports Analytics, based on what I’ve seen here, includes analyzing individual performance, including both from a skill perspective and sports science as well, and analyzing team performance. But sports businesses also analyze social media, fan interaction, and season ticket holder retention. All of that is represented here as well.

Conclusion 3: The NHL is Behind
Due to scheduling, I wasn’t able to attend the panel on NHL analytics. But I didn’t need to be there to come away with this conclusion. The playful title alone, “Out of the Ice Age”, was a pretty big clue. In addition, several other conference attendees mentioned, completely unprompted, that the NHL was noticeably behind other leagues and sports in terms of analytics.

Part of the problem, in my opinion as a complete outsider, is how unique the game of hockey is. Sports analytics is essentially derived from the work of Bill James in baseball. So most of the other sports have created analytics based on that sport’s similarities to baseball. And the most important piece is being able to recognize a positive or scoring play. Football teams are rewarded for moving the ball down the field and gaining first downs. Basketball teams have points per possession and tempo.

Hockey? It combines the low scoring of soccer (which I hear is similarly behind), with the possession time and tempo of basketball. So how can you tell when a team has improved their possession or position without scoring? I’m sure there are ways and that people are doing it, but I respect the challenge.

Conclusion 4: The Cleveland Browns are in Good Hands
Finally, and this is probably coming from a place of Ohio bias, I’m going to come away from this event more of a Browns fan than ever before. Paul DePodesta participated in two panels on Day One, the amazing #MoneyballReunion, and a later talk on Leadership. In both forums he was extremely impressive and gives me hope for the future of the Browns.

Since his hiring, my argument has been that the Browns finally have a vision and a plan. The entire front office is now analytical, and that shared vision is definitely a positive as a fan. But hearing him in person was even better than I imagined.

Later this weekend I’ll be posting more thoughts on Day Two of the conference. Until then, GEEK out!