Pardis 🫶🗂
@djpardis
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I'm working on a short blog post about data transfer in general but ETL, streaming, data pipeline security, and what companies need as they ramp up their AI capabilities.
Please let me know if you have time or interest to review it and give me advice or feedback.
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Today was my last day at Twitter.
Forever thankful for all of the wonderful people, the experiences, and opportunities. I was lucky! 🙌
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It's an honor to announce that this week I have joined
@CarbonHealth
to build their data science team and capabilities!
Many thanks to
@erenbali
,
@alitamaseb
, and the people at CH for the opportunity to contribute to making world-class primary and urgent care accessible for all!
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It doesn’t matter if some app’s ux sucks bc we’re all going to die anyways
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(Data ∩ Water) Terms_final_final
* Lake
* Stream
* Flow
* Storm™
* Cloud
* Fog
* Pipeline
* Firehose
* Hydrate
* Filter
* Clean
* Snowflake™
* Snowplow™
* Luigi™
* Docker™
* Leak
* Mining
* Source
* Sink
* Deluge
* Scalding™
* Backpressure
* Periscope™
* H2O™
* Flume™
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I am excited to say I finally published "models for integrating data science teams within organizations"
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@PhDemetri
Which one?
Also coffee shops help others complete their PhDs so it’s for the greater good
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@nbashaw
[1] Functional versus Unit Organizations by
@stevesi
[2] Building Data Science Teams by
@dpatil
[3] Where should you put your data scientists by
@dtunkelang
[4] How to play well with others by
@josh_wills
[5] On Sizing Your Engineering Organizations by
@kellan
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So many people worked around the clock to make this happen 🙏
@CarbonHealth
is doing
#coronavirus
testing at its 9 San Francisco Bay Area clinics. You don't need to be a member or have a doctor's note, but the company recommends that you complete an online screening assessment before coming in.
Read more here.
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Not trying to be captain obvious but collecting and cleaning data is difficult and requires expert knowledge
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Just overheard a toddler say, “I won’t buy this book, because I already have a lot of books I need to read.”
Humbled.
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I bet you can’t find an example of a person you worked with, who added value to the business, and was bad to people.
Don’t ever believe in the fairytale of “the brilliant jerk.”
@jgoldfein
@gokul
To be honest, I have yet to see competent people who are not pleasant and lovely in the workplace. It feels like an oxymoron to be competent and not value relationships. How else will you get things done?
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If anything, we should become better at handling/storing/versioning SQL code not forget that it's code altogether
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I like this post introducing Morel. It identifies why SQL is so popular:
1) It's concise
2) It's interactive
3) Easy query planning via relational algebra
It also identifies where it falls behind and what a functional query language might look like:
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🆕⚕️ We have published the clinical characteristics of 11,169 COVID-19 tested patients, all available on .
We have also published notebooks for data preparation and exploration. Below you can see the fill rate for all variables included in the repo.
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Your 🧻-buying habits will mess up inventory planning models for years to come
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@patrickc
@devonzuegel
This is in line with Fitzgerald's definition of intelligence:
The test of a first-rate intelligence is the ability to hold two opposed ideas in mind at the same time and still retain the ability to function.
—F. Scott Fitzgerald
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Hi there, I'm here to deliver an Escher gallery to your timeline -->
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If you ever hire you a data scientist who has experience with ML, that's great, they'll know when not to use it and save you the trouble and the costs.
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I’d like to thank pizza and pasta and lasagna for their help in the past few days
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Wait are all the
@OReillyMedia
covers from wine bottles or is this some general image library everyone is using
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I am very happy with the state of this article:
"Management best practices"
There probably should be a longer version that would more clearly describe the motivation for each.
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We are hiring for the Data Science organization at Carbon Health! ⚕️
Here is the job description with a list of current and upcoming projects:
If you have any questions about the company, the org, the tooling, and the role, please let me know. 🙌
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Don’t love your job. It gets too difficult when you’re separated. Nobody tells you this.
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I wrote down some recommendations for data science team sizing and allocation strategy —
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Thank you
@jess
for your advice 🙏
1. Do the work (don't worry abt the constraints of your work)
2. Act the part (dress however you want)
3. Find your sponsors & elevate others
4. Play the long game (equally important for deals)
5. Be on frontier
6. Commit
7.
#LoveWhereYouWork
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My Twitter, like the forest, must be experienced in its entirety to be understood and appreciated. A single tree cannot capture its abundance.
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“If you take a long view of relationships, you’ll build a network so powerful that nobody will ever match it.”
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What are some good data+ML engineering and cloud infrastructure newsletters and podcasts?
I am interested in technical ones and also those offering an overview of market trends.
Please add yours too!
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You can have newline characters on the new web, so I got a new bio 📊
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Some really great ones 👉
> Normcore Tech: by
@vboykis
> The Data Science Roundup: by
@jthandy
> Projects To Know: by
@sarahcat21
Who are your go-to information curators? Newsletters? Content websites? Twitter accounts? Curated lists?
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Fast execution doesn’t matter when you’re moving in the wrong direction.
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This is quite embarrassing, they don’t tell you Twitter is public
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Huge thanks to
@ntakayama
for my
#NewProfilePic
! Love this! 🙌🙏
I’m slowly becoming cool like
@amdev
. 📸🚗
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I have a theory that you only notice typos once you press send.
This is why gmail’s undo feature is genius.
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I just published Management and coaching best practices as a list of N things
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In Lyft
Guy: So you work at Twitter
Me: Yeah
Guy: So are they a good place to work
Me: Yeah, they have a lot of good characteristics
Guy: Is that like a Twitter pun
🤣
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OH: can you build an ML model to predict when the beat should drop?
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It took me a long time to come to this: being able to focus on one thing for some extent of time is one of the greatest manifestations of privilege
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Invite data science people to cross-functional meetings. In particular those that have to do with project and roadmap prioritization. 🙌📈
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I don’t know who needs to hear this but I’d rather be overrated than underpaid
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The success of the internet is due to the increase in creators, not the increase in consumers. Get this wrong and you can go back to the 50s, where you rightfully belong.
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The best engineers and recruiters and managers and leads are also the most generous and kind
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Etymology of DB normalization and normal forms
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An MVP is not a half-assed product. An MVP is a subset of the functions of your goal product that can be delivered perfectly.
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