This can be a nice calculation based on the contour lines. I'm sure there are several local optimal solutions (Bay Area, San Diego) but I'd be interested in working on an elegant "doable" solution (e.g. no more than 200 miles of travel a week)
In the active v/s passive debate it has now become widely clear that passive wins ALL the time when controlled for risk.
I wonder what the market for such a product is compared to main stream actively managed funds. Why should I choose some unknown "expert" off the Internet instead of say Bill Gross, Peter Lynch or John Neff?
Location: SF Bay Area
Remote: Yes
Willing to relocate: No
Technologies: MATLAB, Mathematica, Python, R and other machine learning tools.
Résumé/CV: Please send me email
Email: kirpekar @ gmail.com
I have a PhD in engineering from Berkeley and I've been working at a large Bay Area hardware company for about 8 years. I recently refreshed my knowledge on machine learning (I took the online Stanford class on ML). Entry level positions are OK too. I'm interested in working on:
Linear and Logistic Regression
Neural Networks
Support Vector Machines
Clustering Algorithms
Eigenvalue Analysis
Anomaly Detection
Recommender Systems
Absolutely not. You will have to pay taxes on withdrawals and a 10% early withdrawal penalty. Depending on the size of the withdrawal, this will immediately set you back 6-7 years of the 13 you contributed. If you have ~30 years to retire, even a small withdrawal will set you back by 10 years at retirement. Run some basic compound interest calculations if you don't agree.
There are many other options: moonlighting, going part-time, reducing your responsibilities at work, taking an unpaid sabbatical, etc.
My day is 10 hours, door to door.
I spend (realistically)
-- 3 hours commuting on the bus, doing emails, sheets, bugs, easy stuff
-- 2-3 hours in meetings
-- 2-3 hours of individual focussed work
-- 1-2 hours lunch, snacks, coffee, chatting, non work errands, personal email, shopping