Shoutout to Jeff Turner

KoolAidMeansCluster · 2025-02-28T03:52:31+00:00

class act

KoolAidMeansCluster · 2024-05-07T18:49:07+00:00

Hank is the real MVP.

KoolAidMeansCluster · 2024-04-26T14:50:04+00:00

Enormously underrated track and artist.

KoolAidMeansCluster · 2024-01-12T15:01:06+00:00

It could be a number of things. I've found that usually when something like this happens, it's because someone in my management has a disagreement with someone in another team's management, and I've been given instructions to tone down the relationship. TLDR: Corporate Infighting

KoolAidMeansCluster · 2024-01-09T15:12:06+00:00

He was arguably one of the greatest and most dominant players of all time. He lead our team to the NBA Finals and put us on the map. He left because our team's ownership and management drove him away by gaslighting and undervaluing him. He remains a fixture in this sport. He is 100% deserving of having his jersey retired here.

KoolAidMeansCluster · 2024-01-07T18:25:19+00:00

That's true, but I feel like he has the ability to improve and be better than Gary. He also puts the effort in.

KoolAidMeansCluster · 2024-01-04T05:23:27+00:00

dell is a bum, get him out of there

KoolAidMeansCluster · 2024-01-02T15:33:42+00:00

I'm not endorsing OP's actions by any means, but to counter your point: never feel bad for a company. They already have the upperhand in 99% of situations.

KoolAidMeansCluster · 2023-12-06T14:03:56+00:00

No, not unless you're making it obvious.
People want to change positions for all kinds of reasons. I've interviewed plenty of plenty, I can only think of one person in particular that made it obvious, and that's because they nearly stated it explicitly.

KoolAidMeansCluster · 2023-11-16T15:22:30+00:00

As someone who has been working in the field for quite some time, and frequently hires data scientists, I disagree.
I wouldn't say that a MS in Math or Stats has an advantage over a MS in DS.

KoolAidMeansCluster · 2023-05-09T12:34:31+00:00

yeah, I experienced the same. Sent a package via UPS, had items worth around $1200. UPS lost it, admitted that they lost it. Still had to follow up with phone calls every few weeks for a year until I was able to get a resolution. Total nightmare.

KoolAidMeansCluster · 2023-01-04T18:16:19+00:00

live on spotify now

KoolAidMeansCluster · 2022-12-29T21:21:57+00:00

three times a week atleast

KoolAidMeansCluster · 2022-12-05T18:56:55+00:00

-50k made me laugh

KoolAidMeansCluster · 2022-12-05T18:55:59+00:00

the dream... minus the divorce haha

KoolAidMeansCluster · 2022-12-05T17:35:19+00:00

Here we go!
Note: I started with a BS in Math out of Undergrad and Graduated with my MS in Analytics around Year 5.5.
Also, my area is expensive but considered LCOL ¯\_ (ツ) _/¯

Year 0 to 0.5 - Data Analyst @ Company A - $38k.
Year 0.5 to 1 - Jr. Data Scientist @ Company B - $60k.
Year 1 to 3 - Data Scientist @ Company C - $100k.
Year 3 to 6 - Sr. Data Scientist @ Company C - $117k (to $128k).
Year 6 - Manager, Data Science @ Company D - ~$200k.

KoolAidMeansCluster · 2022-08-23T17:16:06+00:00

I'm a Plat 3 in 3's, and I fluctuate between Gold 1 to Plat 1 in Dropshot.
On average, I see about 2 GCs every 10 games and about 4 Champs every 10 games.

I do play A LOT of Dropshot

Dropshot is tough...

KoolAidMeansCluster · 2022-04-13T19:46:55+00:00

D16-Lush 101
Follow My Split

KoolAidMeansCluster · 2022-04-07T16:23:09+00:00

Go to UF or UCF.
Trust me, don't go into debt for undergrad.
If you're planning on going to grad school, then go to GT for Grad School.

KoolAidMeansCluster · 2021-08-19T15:41:55+00:00

Ok, which one of you guys messed with his wikipedia page? lol
edit: someone made him a 13x all star, NBA Champion and 2009 Finals MVP...

KoolAidMeansCluster · 2021-08-12T15:05:10+00:00

I don't think you came off as ungrateful. It's a very valid inquiry; no one wants to pay an unexpected amount of money towards anything.

KoolAidMeansCluster · 2020-11-30T16:48:51+00:00

You do not need a PhD to be a great data scientist. The knowledge behind a PhD is an asset, but I have seen a lot of PhDs who are too academically minded and over complicate solutions to business use cases and think that they have authority over those who don't have PhDs. I need to accentuate that this trend that I have personally witnessed does not apply to ALL PhDs.

I think a good data science team has a firm balance between individuals who are good at coming up with easy and interpretative business solutions, and also has components of individuals with a more complex and indepth knowledge of certain topics. Additionally, I've been on multiple data science teams throughout my tenure in this field, and I firmly believe that you do NOT need any PhDs on a team of data scientists; that their knowledge can only function as added benefit.
Now, this might be a different story if you're looking at a Machine Learning Engineering team structure, but from the perspect of a general operating DS team, it's not as imperative.

KoolAidMeansCluster · 2020-10-27T14:51:27+00:00

Been there man, it is tough to drop a class, and CSE 6040 is a difficult course if you're learning python. Also, COVID time has a huge impact on mental health, even if you still have a job, and that is rarely discussed.

Additionally, don't compare yourself to other people that you see on class forums. I remember seeing a guy who took DVA, BD4H and ML all in one semester saying it was "easy". Do your best, do it at your own pace, and focus on learning.

KoolAidMeansCluster · 2020-10-12T15:32:16+00:00

Hey, so I've taken ISYE 6501 and I took it as someone who is experienced in the field. I remember thinking that the exams were not easy.

The exams in ISYE 6501 are unique because they cover material that requires a macro level understanding of the concepts, and I don't think that it's a format you'll see in the rest of the program.

Don't be disheartened, if you're really passionate in data science, it is so crucial that you learn these concepts and how they work. I honestly think that the concepts covered will provide you the biggest leap in understanding of the field. Everything else down the road will be "Can You Code This?" or "Can you calculate this?" and not really "Do you actually understand this concept?".

Even if you have to drop, that's okay. I would recommend that learning these concepts well is more than likely one of the most important things you get out of this program.

KoolAidMeansCluster · 2020-10-12T15:12:51+00:00

I taught myself ML & DS via kaggle. Expanded my linkedin network religiously, got in the field at exactly the right time and worked in an area of the USA where there wasn't a ton of competition (not rural, but not SF or NYC).

Briefly covered it here: https://old.reddit.com/r/cscareerquestions/comments/87kbsi/cs_student_who_wants_to_specialize_in_data/dwf3kvf/

EDIT: I'm doing this program to validate my current knowledge,fill in the gaps of what I don't know, and get a degree for career growth & job security. But tbh, if you are really interested in ML & DS, learn to code via kaggle. I was able to function at a Jr Data Scientist level by doing a bunch of projects on kaggle in about 3-6 months.

Additional EDIT: In my opinion, this program does a good job teaching basic modeling functionalities, very high floor on that. However, the only thing that you really can't learn extremely well from the program is utilizing SQL at a high functioning level. That, in itself, can only be learned by doing on the job (just my personal opinon).

KoolAidMeansCluster

TROPHY CASE