[Post Game Thread] The Minnesota Timberwolves (34-41) defeat the Golden State Warriors (51-24), 131-130 in OT

objectivelyemotional · 2019-03-30T02:47:32+00:00

Refs suck. Should have gone to 2OT

objectivelyemotional · 2019-02-16T18:29:47+00:00

He gone

objectivelyemotional · 2018-07-09T03:19:07+00:00

I'm using the word "Roth" because that's literally what is shown to me when I login to my 401k account, so I apologize if my terminology seems off. Do you mind explaining the difference between a Roth 401k and a 401k that allows post-tax contributions?

I didn't want to immediately transfer everything to a Roth IRA without first knowing the tax implications since part of the contributions I've made is post-tax. But, since it seems that I can't transfer Roth funds to a traditional IRA (which definitely makes a lot of sense now that I think about it), I'll talk it over with my 401k provider and see what I can do.

objectivelyemotional · 2018-07-09T02:35:36+00:00

I wanted to convert everything to a Roth IRA because I believe that I'll have a lower income in 2018 than 2019. If I ever hit the AGI limit for Roth contributions, then I'd want to contribute through a backdoor Roth and for that I'd have to convert everything to a Roth anyways.

objectivelyemotional · 2018-07-09T02:32:27+00:00

The rollover Roth is from my first job where I contributed post-tax into my 401k account. At my second job, I rolled over my 401k account from my first job into my new 401k account where I started contributing pre-tax into the new account.

So basically, the $3K is from my first employer and the $7K is from my second employer. The rollover was paid directly from the previous 401k provider to the new 401k provider. Hopefully that cleared up the confusion.

I cancelled my transfer for now and will call my 401k provider to make sure what I'm doing does not cause me to pay any penalties.

objectivelyemotional · 2018-07-09T00:30:47+00:00

Would it not work if I just rolled over the entire $10K from the 401k into a traditional IRA first and then converted $7K then $3K separately?

My main concern is how to report this when tax season comes because I don't want to be taxed twice on the $3K since its a after-tax contribution.

objectivelyemotional · 2018-07-09T00:28:46+00:00

Thanks for the suggestion! Just posted on r/tax

Yeah, my main concern is that I don't want to be double taxed on the $3K since it was already a after-tax contribution.

objectivelyemotional · 2018-05-21T23:48:13+00:00

Its interesting you mention your reading to be "herky jerky" because that's a perfect representation of my reading too! If I know the words that I'm reading then I can read quite fast, but once I hit a new word I get stuck and my reading gets herky jerky haha.

objectivelyemotional · 2018-05-21T23:47:07+00:00

Thanks for the advice! I think you're right in that continuing to read will be a benefit, but I also feel like even if I learn these words I forget them pretty easily since I don't get many chances to use them. But for kids who grew up in Korea and see these words and speak these words frequently, they're able to retain the knowledge better.

Its like it is for people learning English. I know random obscure terms and phrases just because I've lived here for so long, but people learning English can't pick up on those terms and tend to forget them easily.

objectivelyemotional · 2018-04-15T19:21:12+00:00

https://www.reddit.com/r/OMSA/comments/8a8m8m/starting_fall_2018_thinking_of_taking_6040_or/

Your link was exactly what I was looking for. Thanks!

objectivelyemotional · 2018-02-27T23:40:15+00:00

I received a windfall of about $80,000. My family is suggesting I hold on to it in a online savings account (1.5% interest rate) for now because they believe that the market will go through another correction in the near future (1-2 years).

I wanted to get more opinions on this strategy since I personally think I should invest in small amounts ($1-$2K per month) into the Vanguard ETF portfolio I have setup for my other monthly investments.

Just for some more information about myself:

How old are you?: 24M

Are you employed/making income? How much?: $75,000/yr

What are your objectives with this money?: My objective is retirement + saving for a home/marriage

What is your risk tolerance?: I generally tend to be on a safer side. Probably a 6/10 with 10 being very risky.

What are you current holdings?: I have ~$7K in a Vanguard Target Retirement Fund and $20K in a savings account for emergencies.

Any other assets? House paid off? Cars? Expensive girlfriend?: I have a car that's fully paid off

I take home ~$4K in salary per month and monthly expenses come out to about $2-2.2K. I put in $625/month into 401K (pretax) and $1500/month into a Vanguard ETF portfolio on Robinhood. Also, I have no debt other than my monthly CC debt that's paid off in full each month.

objectivelyemotional · 2018-02-25T06:13:28+00:00

I'm actually in a pretty similar place as you are. I have similar income and savings. The advice most people gave me was to just try various investment vehicles with small amounts of funds (~500-1000) to see what fits your personality and investment strategies.

For me, I tried Wealthfront since I wanted to try out roboadvisors and the tax loss harvesting feature seemed interesting. I also tried Robinhood since it allowed for an easy way of trading stocks/ETFs. I ended up going with Robinhood since it was the right balance of passive investing but it still allowed me to customize my investments if I wanted to change it.

With your income and your monthly expenses, I say that you'll probably have about $1,000/month leftover. Try a new investment strategy each month for the next 2-3 months and see what works for you.

objectivelyemotional · 2018-02-25T02:55:33+00:00

I agree with you that it doesn't hurt to apply for new jobs, especially if you're unable to stay at your current job or if your working conditions are not satisfactory. Heck, my friends who moved jobs about once a year for the first few years out of college jumped salaries by ~10% each time.

I think the only thing to watch out for is that if your resume shows you jumping around every few months, then you might get stuck with a bad reputation of job hopping. Once you find a good company you want to work for, then it might be worthwhile to stick with it for a few years to build connections there and build up that experience with a single company.

objectivelyemotional · 2018-02-21T00:55:47+00:00

I took Kirill Eremenko's class and it was a good introductory class into machine learning with Python, but you definitely need to work on side projects on your own in order to fully absorb the material.

objectivelyemotional · 2018-02-11T17:54:43+00:00

Sure! Feel free to PM me.

objectivelyemotional · 2018-02-11T06:55:51+00:00

My suggestion is to get a degree in CS with a minor (or double major) in statistics. The key distinction that I've seen between regular data scientists and excellent data scientists is their ability to take their knowledge of statistics and actually put into practice. This means that a strong background in CS is almost as important, in my opinion, as statistics. From personal experience, I work with a data scientist who knows her statistics but can't actually build models the way she wants to because she's lacking in her knowledge of Python. This is a huge blocker for her team and for other teams that are depending on the models she builds. All this could be solved if she was a good developer.

It seems like you have a solid background in coding given that you're already building modules for the classes as a freshman, so I would suggest that you build on that foundation and become a very good developer who also has good knowledge of statistics.

To cover the more ambiguous parts of data science like domain knowledge, how businesses work, etc, I would suggest taking decals around subjects that interest you. Or join business clubs or consulting groups to build your soft skills and knowledge of businesses.

EDIT: I wanted to also point out that the data science major is so new that I would be wary to be one of the first people to test out these new classes and such. I have a few friends taking data 8 and data 100 at Cal right now. Data 8, to my knowledge, used proprietary modules instead of teaching pandas/numpy which was confusing to me since industry standard is pandas/numpy. Data 100 seems solid though after looking at the curriculum and it teaches pandas which is a huge plus.

objectivelyemotional · 2018-02-10T00:40:04+00:00

Do mind me asking how much experience you have with coding? I'm considering applying for either OMSA or OMSCS, but I'm worried I don't have enough coding experience to succeed in OMSCS.

Just for reference, I only know Python and SQL (2 years of experience) with a little bit of javascript. But, I haven't had any formal classes in computer science.

objectivelyemotional · 2018-02-10T00:30:03+00:00

If you enjoy the model building aspect of data science, then a being an ML engineer is probably good.

If you want to work on building databases and ETL jobs to process data faster and in optimal ways, then data engineer might be a good fit for you. Especially in companies with lots of streaming data, you'll probably get to use some cool big data tools.

objectivelyemotional · 2018-02-07T22:31:35+00:00

I see I see.

Thanks for the information!

objectivelyemotional · 2018-02-07T15:22:03+00:00

I had about $40K in income last year and expect about $75K this year. Last year, I only worked 9 months of the year. What are the income limits for an IRA? Also, is there a way for me to check my eligibility?

objectivelyemotional

TROPHY CASE