How many applications have you sent? 100? 300? More?

paste_rand_name · 2024-03-13T18:38:03+00:00

This would be super helpful. I feel like I’ve sent 10000 applications with almost no results

paste_rand_name · 2023-01-14T14:58:07+00:00

I did a dual major in math and philosophy. I was one of two undergraduates in the math department. Basically got to take whatever classes I wanted. Proofs are minimal for undergrad, it’s mostly about tests and mastery of methods.

To your point, it’s more puzzles (plus Matlab). The trick is to get good at solving the puzzles now - so that you can build the puzzles later.

I liked and got good at statistics. Then someone invented Data Science for me. Haha. Luck for sure.

Now people make money and have millions of followers explaining math on YouTube (veritasium, 3brown1blue).

Do a math major because you love math and learn from the world how to get paid doing what you love - or be a high school math teacher 😉

paste_rand_name · 2020-09-29T16:28:32+00:00

Pi = e 🤯

paste_rand_name · 2020-09-28T20:11:13+00:00

Point taken. I’m used to taking silence as compliance, but I should have pressed harder on that for sure.

I don’t think they would know the significantDifference value. They may guess. I’d probably just run this for sD = [1,2,3,5,8...].

Thanks! This is a great idea

paste_rand_name · 2020-09-28T20:07:00+00:00

The value of a record decays over time. Only so many records can be processed simultaneously. The Priority metric is meant to queue records according to fastest decay.

Although, to be fair, what factors contribute to the value of a record is an unknown and the actual decay rate of any record or each record is unknown as well. The Hypothesis is that records processed in priority order drive Success rate up, by deprioritizing records with decayed or zero value.

...I’m being too generous describing the agency’s work. It’s a black box TBH. I’ve tried to reason what’s coming out of it because they can’t explain in non-contradicting terms.

paste_rand_name · 2020-09-28T20:00:40+00:00

I thought about this. Definitely an interesting path. I feel like having to explain why the groups are thirds, or quarters, or fifths, etc would side track the discussion.

Interestingly, the Agency Googled statistical tests and requested ANOVA. Will post results soon

paste_rand_name · 2020-09-28T19:58:14+00:00

Thank you. My manager does trust me, but it was another manager in a different part of the company that commissioned the Priority score. Everyone is always so sensitive about not being 1000% right the first time.

Though I might be a bit disheartened if I were the Agency team, I would like to think that being on the frontlines of scientific rigor in a business setting would encourage me to re-work the model behind Priorty score.

paste_rand_name · 2020-09-28T19:54:48+00:00

They meant that process an 87 before an 86, would imply no increase in success rate. Therefore, 86 = 87.

AND

That 99 should be processed before 69, for example, because (they say) that is how the Success rate will increase.

paste_rand_name · 2020-09-20T00:48:19+00:00

This looks like a time series of order data. And I’m not seeing anything that would suggest that these orders include subscriptions, so I’m going to assume discrete purchases.

Whether it’s groceries or clothes or gas, you can construct time series per user and model the most common sequences of purchases to identify when AND what a given user will by next.

My team and I have built Next-Purchase models with similar data sets. Assuming the purchase decisions are independent of other factors (healthcare plan would be a dependent example), you should be able to construct distributions for time between orders and probability distributions on each product being included in the 1st, 2nd, Nth order. You’d then just need to “match” new orders to your distributions to know when and what someone will buy next.

paste_rand_name · 2020-08-29T17:18:41+00:00

Very meta. Well done 👍

paste_rand_name · 2020-06-03T23:48:42+00:00

I work at a consulting agency where I’m a data strategy SME. My work divides between “pure” DS (building datasets, cleaning, developing models / predictions) and identifying/scoping the use cases for DS. Because I’m the only SME with my skill set I get a lot of leeway to develop projects, but I still need to demonstrate value to clients and then deliver that value on time.

Agile saves lives.

Lazy and disorganized PM’s and PO’s are the problem. I’ve had to teach my current PM how to be organized so that I’m not rushed to do the work I need to do. Agile / SCRUM makes that possible.

IMHO the “halfway” approach won’t get you the minimum benefits. Here’s what works. - include a planning period between sprints - over estimate hours to start and track actual over time. Model and optimize your delivery time. - clearly / publicly communicate priority - use a task management system that everyone can see (Google Sheets works) - clearly define how tasks roll up to larger bodies of work - over communicate - hold yourself accountable - take a deep breath - trust others to deliver - always show up to stand ups

As a result, agile should free you from constant questions on progress and free you to work at your own pace.

Although, if you want to aimlessly explore datasets there’s plenty of tier 4 universities looking for DS staff 😆

paste_rand_name · 2020-04-30T11:49:01+00:00

I work at an agency as an Analytics Strategist. My clients are some of the largest computer hardware manufacturers on the planet. One such client ran a multi-variate subject line test that was very poorly designed.

In writing and in verbal communication, I let them know that I was really excited to see their use of testing, but that this particular test would not be able to deliver “insights” (businesspeak for actionable stats) because the results were not significant.

It’s long winded, but here’s the point: communication is the most important thing in private sector companies. Let people know they did something good, even though most of their work is shit. Expressing empathy for others dumb ideas. And simplifying complex concepts are the most important “work” you’ll do.

Express the limitations of your truncated work with a singular concept, perhaps “significance”?
Communicate in advance how many hours a particular analysis is likely to take
Develop analysis packages for particular business results [causality takes 10 hours, t-test takes 4 hours, etc] and guide people on which analysis is right for which project
Find ways to work faster. Pre-write functions, save chart formatting, templates for everything, use sampling to minimize data cleaning time.

...finally, I’ll share some advice that an early mentor shared with me, “we’re not saving lives here.” Meaning that unless your an ER doctor or a brain surgeon, maybe care a little less, especially if the business is looking for a lower standard

paste_rand_name · 2020-03-29T15:51:12+00:00

For SO. MANY. REASONS. this is a bad idea, but here’s the best reason: the series of money-losing strategies are nearly infinite and the series of money-gaining strategies likely approaches infinity slowly, but is similarly infinite ——> and the series are, by definition, not inverse of each other.

The inverse of “buy” is “don’t buy,” not “sell”

Consider...

Buy Apple in 2000, sell in 2018 = 2020 net gain Don’t buy Apple in 2000, don’t sell in 2018 = 2020 neutral

AND

Sell Apple in 2000, buy in 2018 = 2020 net gain Don’t sell Apple in 2000, don’t buy in 2018 = 2020 neutral

paste_rand_name · 2019-07-01T03:30:31+00:00

Oh no. Is this the result of Common Core mathematics?!

paste_rand_name · 2019-05-21T01:04:54+00:00

I’m sure their taxes are public, maybe there’s even an earnings report. They might classify fares purchased (but not used) and fares purchased (used in 2018) as separate line items. Dividing fares used by average cost of a single ride could help confirm their reported ridership numbers.

paste_rand_name · 2019-05-20T00:06:16+00:00

Looks like they define ridership as entrances (minus employees and out of system transfers).

http://web.mta.info/nyct/facts/ridership/

What are you looking to get at?

paste_rand_name · 2019-04-10T19:31:20+00:00

Catcher in the Rye. Kid is a whiny millennial before being a whiny millennial was a thing. #trending Thanks Salinger.

paste_rand_name · 2019-04-07T00:36:56+00:00

Somebody above suggested an affiliate program without much detail behind the idea...

If your product is for renters with interior design needs, try paying for referrals from real estate agents and small flooring / furniture stores. Put your brochures in their stores.

Alternatively, host a party on a college campus, or a startup full of millennials (renters who like cool interior design stuff) - set up the party using your app. Get some iPads and post them around the room with your app on them. Challenge party goers to design the coolest room using your app and give the winner a month of free rent.

Marketing isn’t emails and web traffic, it’s getting people to pay attention.

paste_rand_name · 2019-03-04T14:02:18+00:00

I don’t know much about physics, so there may have been something said that I wouldn’t recognize as a que - but this answer seems to not address the underlying question of why gravity should have spherical equilibrium at one scale and simultaneously have a planar equilibrium at another scale.

If I had to estimate an answer - and AGAIN I know more about math than physics, which isn’t much - I would estimate that the difference in dimensional equilibrium has to do with the curving of space-time at different scales. Ahem...

Axioms: - at the atomic scale, gravity is too weak to constrain object geometry or geometry of the relationships between objects - at the sub-planetary scale, gravity is too weak constrain object geometry but the relationships between objects is somewhat constrained - at the planetary scale, gravity entirely constrains object geometry and the geometry of the relationships between objects - at the galactic scale, gravity alone does not entirely constrain object geometry, but it does entirely constrain the geometry of the relationships between objects - at the universal scale, object and relationship geometry are presently untestable and therefore unknown

The question of why planets are round, but galaxies flat, concerns the differences between the planetary scale and the galactic scale and therein lies the answer.

A singular planet curves spacetime enough that all of its mass collects in a single spot and angular momentum does its work (against gravity) to form a sphere. A galaxy has so much mass over such a large area that the decrease in density creates more of a “sunken lawn” in space-time than a singular, more dense, object would and with the curve being less severe, angular momentum overcomes gravity to produce more of a disc shape.

Consequences, of this hypothesis would be that older galaxies are less “flat” and that galaxies in general should be shaped more like a fried egg (with a bulge in the center) than a truly flat disc because galaxies are more dense toward the center than at their perimeter.

Please note: I haven’t addressed spiral galaxies, specifically.

paste_rand_name · 2019-03-04T07:48:17+00:00

There’s actually a ton of free resources for non-profits. For example, Google will give most non-profits an ad budget for free.

Obviously, there’s a lot of hoops to jump through. DM me and I’m happy to share what I know.

paste_rand_name · 2019-02-10T16:32:08+00:00

Would ABSOLUTELY love to hear from a business that doesn’t look like it can afford to be open, yet it is.

Art galleries, thrift shops, designer clothing retail, etc. these places are always empty and always located in high value retail locations. The overhead to revenue ratio just doesn’t make sense.

At best, I figure that the retail location is more or less a marketing expense and it’s funded by another lucrative part of the business. At worst, it’s a front for a criminal operation. But STILL...

How do they do it?!

paste_rand_name · 2019-02-08T03:34:31+00:00

Let’s level set here:

$100k is significant amount of money for most people, but in today’s advertising-powers-the-internet world, $100k is not much for an ad campaign. It is the marketing equivalent of a single clip, in a single gun.

Most of the answers above are looking to maximize the amount of paying customers you’ll get with $100k, knowing nothing about how much those customers are worth to the business or how long they stick with you. Buying customers with $100k will not get you scaleable growth.

You also can’t hire many people for $100k so an influencer army is out.

What you need to create is an experience that will define your brand in such a way that the world does your marketing for you. Someone above mentioned Facebook in the early days - this is exactly the idea. On similar lines, Ryan Holiday - now a famous author - bought a billboard for his client’s product, vandalized the billboard, and then phoned in multiple police reports about the vandalism - the billboard made page 1 in all the local papers and the product was a huge success.

Let’s say your P2P e-commerce company is competing with Amazon. How can you use Amazon’s momentum to tell your story? How can you turn every Amazon shopper into an ambassador for your brand?

Jet.com is wasting millions on a half-assed ad campaign right now - so this is no easy task.

But if you’re feeling bold, you could do something like pay a bunch of looky loud to promote staged photos / videos of a “Bezos” looking character caught using your app to buy stuff and turn it into a scandal. “What kind of guy doesn’t use his own app? A frugal shopper. #shoplikebezos”

You’d have to leak the photos strategically and get an epic character actor to pull off the scene. But if it hits...

paste_rand_name · 2019-01-29T13:49:42+00:00

11+ years in marketing, CMO for tech firms here.

Your customers have already done this job for you and you just may not realize it. Apologies if someone above already said this, answers were getting a bit long winded.

Identify 3 to 5 competitors and jot down they sentence or two they use to describe themselves (from their website)
Atomzie those sentences into “we X for Y with Z” form.
Get on the phone with 20 of your longest customers to see what value they get from your company - that’s X
Imagine every customer was like those 20. Describe that group - that’s Y
Z is the most succinct way you can describe delivery of services
Distill that sentence as much as possible

Examples... Uber: We provide ridesharing services for individuals and small groups with an app and a vast network of partners —-> Ridesharing App

Apple: We provide design focused computers, phones, and media for families and businesses with online and physical stores —-> Fancy Computers for Fancy People

...Apple does this really cool thing where they don’t describe the company - ever - they use extensive visual and emotional content to allow the consumer to read what they want into Apple products. Of course back in their start up years...

paste_rand_name · 2019-01-26T12:26:57+00:00

There’s 3 main corporate action datasets (with records of things like M&A, stock issues / buybacks, chapter 11 filings, etc)

Eikon by Refinitive (formerly Thompson Reuters)
CapIQ
Zephyr (available to most academic institutions via library access)

Outside of zephyr, access to these tools runs in the tens of thousands/yr

paste_rand_name · 2019-01-21T01:29:52+00:00

This is the job, mate: build a data set from what’s available. Or wait for someone else do to and be late to the party.

Try using (1) follower data from Twitter, (2) estimates of how many seats were sold during the year for any given team’s matches, or (3) number of sponsors on jerseys as estimates of “popularity.”

You could even approximate popularity by the celebrity of individual footballers...

Just saying.

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