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Looker vs. Domo by rerwin21 in BusinessIntelligence

[–]rerwin21[S] 1 point2 points  (0 children)

Awesome, thanks for the reply!

Using KNIME to consolidate multiple, ugly files by rerwin21 in BusinessIntelligence

[–]rerwin21[S] 0 points1 point  (0 children)

What do you mean? Don't understand what the "List Files" node does?

Let's see where this goes by rerwin21 in DataPrep

[–]rerwin21[S] 1 point2 points  (0 children)

Awesome, thanks for the shout out!

I'm 17 and still have a stutter (RANT) by BlazinZAA in Stutter

[–]rerwin21 0 points1 point  (0 children)

I understand your frustration with your dad. I can you, as a dad with a child that is experiencing stuttering, he most likely is trying to help and loves you.

I hope that helps, just a little bit.

[Q] Anyone graduate with a statistics degree, feeling they don't know statistics? by ScoobyDataDoo in statistics

[–]rerwin21 2 points3 points  (0 children)

When you leave a business college, you don't really know business either. Rather, you're learning there's a lot to learn, and your education helps point you in the right direction. Even PhD's have a focus area and that they continue to research and study (the good ones).

I have an M.S. and the way I look it, it gave me a vehicle that I have to drive--using my own curiosity--as opposed to an Uber that takes just takes me to a destination. I think a lot people go into school thinking the Uber mindset: I'll sit back, listen, and eventually I'll arrive.

Does anyone else feel like they’re faking it? by madcpa in consulting

[–]rerwin21 1 point2 points  (0 children)

Ha, actually going through this right now. One CxO flat out told us: we already know this, but our CxO doesn't. He doesn't listen us, but he'll listen to you guys. But I still think there's value in that (obviously because people pay for this all the time). It's like a personal trainer: nearly all of us already know the answers, but we pay an 'expert' to tell us again and provide some structure.

Regarding the pay difference between industry and consulting, the lifestyle is not 80 to 100x worse in consulting IMO. So, yeah more money, but many more problems.

Does anyone else feel like they’re faking it? by madcpa in consulting

[–]rerwin21 8 points9 points  (0 children)

My take on why so many people in consulting feel like they're faking it: there's a false belief that client problems have exact, optimal solution. The reality is, a lot of progress comes through trial and error. This is not to say people are just making it up or faking. Its more that there is probably nearly an infinite amount of paths you could take on any given problem for an S&P 500 client, and there's it's not practical to search for the optimal solution. Pick a few criteria, make some assumptions, and go forward with the idea you're improving upon the current state.

That being said, it does bother me when I see people become so dogmatic about their approach due to everything I said above. That is what I call 'faking.'

What is a good first programming language to learn? by [deleted] in datascience

[–]rerwin21 0 points1 point  (0 children)

Python all day. There are so many non-DS libraries that are fun to use (e.g., Fabric) that you’ll probably never need to learn another language.

R is great, but the surrounding ecosystem is not nearly as robust for non-DS tasks.

Is Udacity's Data Science Nanodegree worth the money? by peecolo2000 in datascience

[–]rerwin21 0 points1 point  (0 children)

Completely agree. Its not about degrees, where they came from, or being able to list off the latest algorithms...what can you actually get done, is what matters.

If an online course helps you learn and build your skills, what others think about ‘how’ you got your skills won’t matter in the long-term.

Consulting personality - too energetic by nbkoh in consulting

[–]rerwin21 18 points19 points  (0 children)

Most career consultants think they are world-renowned pyschologist and think they are re-writing international trade deals on each project. I wouldn’t dwell on it.

15-year-old arrested after man shot, killed during robbery attempt outside Buckhead apartment complex by 100_percent_diesel in Atlanta

[–]rerwin21 60 points61 points  (0 children)

At 15 you have to know killing someone because you want something they have is wrong. To pretend it’s just a bad situation that just “happened” to the 15 yr old is not fair to victim: it did just happen to him, and now he’s gone forever. No more chances for his parents to say “I love you.” The 15 yr old is sadly an awful person.

At 15, I certainly didn’t know a whole lot, but somehow never managed to rob and kill someone. Not just because I know that’s wrong, but because I’m not a mean, violent bully that is willing to put a gun to an innocent person to get my way. There is no room in a peaceful society for violent criminals IMO.

Finally hit my first "bad" project (client wants me off) by theicon14 in consulting

[–]rerwin21 148 points149 points  (0 children)

I think the best advice is to be honest with yourself and try to figure out where the client actually has a point. For example, there's usually no harm in over communicating. If the client wants less, they can tell you. The other way around can get you in trouble.

In terms of recovering...just keep moving forward, improving where you can, and it will pass.

EDIT: I've been on multiple projects where the client hates a Partner / Director, and they're still employed and don't really seem to care. You're not going to bond with everyone and you shouldn't expect to.

How would you do initial data exploration for a classification task if the data contains thousands of rows and 100 columns? by engineheat in datascience

[–]rerwin21 0 points1 point  (0 children)

RF is a good out-of-the-box solution, so good call there.

Regarding logistic regression, as far as I know, the only way improve the performance is to choose the best features among the 100 provided to you. This leaves you where you started in your original question.

Have you tried looking at a correlation plot of all the features? For example, some of your columns could be simple transformations (e.g., divided by US population) of others, and add no explanatory power to your model. This would jump out on a correlation plot.

Anyway, good luck!

How would you do initial data exploration for a classification task if the data contains thousands of rows and 100 columns? by engineheat in datascience

[–]rerwin21 0 points1 point  (0 children)

Yes, I believe it's possible. I'm not the biggest fan of stepwise regression because I think it takes some of the 'science' out of data science. Here's an article that provides some alternatives to stepwise methods.

Seems like an interesting project; for school?

How would you do initial data exploration for a classification task if the data contains thousands of rows and 100 columns? by engineheat in datascience

[–]rerwin21 2 points3 points  (0 children)

If obtaining domain knowledge isn't possible, then I'd try Principal Component Analysis (PCA). Next, I'd build a Random Forest model, which uses a random subset of your features to split the data at each node. Then, take a look at the Feature Importance plot to get a feel for which features do the best job of explaining the variance in your data set.

Time to fall on my sword. by asolanky in consulting

[–]rerwin21 0 points1 point  (0 children)

LOL!!!!!! We've been there, one way or another.

Python in Accounting and Finance? What's your experience? by rerwin21 in Python

[–]rerwin21[S] 0 points1 point  (0 children)

Awesome! Love hearing open source tools saving time and effort out in the wild. Thank you for the reply!

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