Dina Mohammad-Laity Profile
Dina Mohammad-Laity

@dinamohammad

Followers
394
Following
7K
Media
258
Statuses
2K

Counting things, building things šŸ‘©ā€šŸ’»Remote work advocate šŸŒ Data, systems and operational efficiency šŸ¤–

Joined March 2009
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@SahilBloom
Sahil Bloom
2 years
Remember: The water may look calm, but the crocodiles are always lurking.
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@RyanHoliday
Ryan Holiday
2 years
These Are 11 Things Stoics DON'T Do:
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@bernhardsson
Erik Bernhardsson
2 years
Hard work is cool but do you know what really makes startup successful? A bunch of people willing to pick up whatever task has to get done that’s potentially way outside their comfort zone.
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@AdamMGrant
Adam Grant
2 years
Zoom fatigue is not burnout. It’s boreout. New study: when meetings are virtual, we’re not overwhelmed—we’re understimulated. Cardiac measures show drowsiness, not stress. The antidotes are common sense but not common practice: fewer, shorter, more interactive online meetings.
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@sarthakgh
Sar Haribhakti
2 years
A Ph.D. in economics who spent a decade in data analysis just became the CTO of Netflix
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@david_perell
David Perell
2 years
If you're early in your career and want to stand out, start writing. Take notes. Write the plan. Take charge of the next internal memo. "The person who writes down the thing has tremendous power." — @pmarca
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@Julian_H0ffmann
Julian Hoffmann Anton
2 years
Mapmakers! Post your favorite maps you’ve made
@Lemommeringue
Cadence
2 years
Mapmakers of twitter! Post your favorite maps you’ve made, I’ll start
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@eldsjal
Daniel Ek
3 years
I have my guiding motto on a wall in my house. It’s a quote from George Bernard Shaw that says: ā€œThe reasonable man adapts himself to the world; the unreasonable one persists in trying to adapt the world to himself. Therefore, all progress depends on the unreasonable man.ā€ I am
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@ergestx
Ergest Xheblati
3 years
You don’t need fancy charts to communicate impactful insights from data. In fact, I believe there’s an inverse relationship between the fanciness of a chart and the information it provides.
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@ergestx
Ergest Xheblati
3 years
Metrics should drive data collection, algorithms and architecture not the other way around. ā€œHere’s some data, gimme insightsā€ is backwards. It should be ā€œhere’s the metrics we want to effect, what data do we need to collect, model and query?ā€
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@AmandaMGoetz
Amanda Goetz
3 years
The fastest way to slow down a team? Take away their day to day decision making ability. Want to move fast? 1. Align on goals (what success looks like) 2. Align on strategy (how we will achieve it) 3. Align on resources (budget & team) and then get out of their way.
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@LBacaj
Louie Bacaj
3 years
My rule of thumb for career success, back in corporate America, used to be a simple two-step: 1) Add Value 2) Make Noise But due to the changing environment, I’ve been telling my engineering friends a third step: 3) Make Noise far outside your organization four walls
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@ergestx
Ergest Xheblati
3 years
Looking for ā€œfulfillmentā€ or ā€œmeaningā€ at work is a fool’s game. I’ve had a long professional career and I don’t recommend it. Here’s how to find enjoyment in your career: 1. Find a profession where the impact of your work is directly linked to the effort you put in You need
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@dinamohammad
Dina Mohammad-Laity
3 years
šŸ™‚ every time
@AmandaMGoetz
Amanda Goetz
3 years
What's the most passive aggressive emoji to use on someone?
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@dinamohammad
Dina Mohammad-Laity
3 years
This is turning into an epic journey to see @Adele live! #gethazeltoadele
@nuttyha
HAZEL WHITEHEAD
3 years
@Adele Dubai to Seattle canx vegas flight Seattle to Idaho 24hrs flying,9hrs driving we will watching you tonight Seats block 206 Row F seat 619. Dream come true and no snow storm, cancelled flights or traffic was going to stop us! @AdeleAccess @adeledailynet @LucyDickins
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@ergestx
Ergest Xheblati
3 years
For the love of all that is holy, study SQL first.
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@adcock_brett
Brett Adcock
3 years
Time blocking your calendar is 10X more impactful than a to-do list.
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@EcZachly
Zach Wilson
3 years
Starting out in the data field can be overwhelming. Should you be a data scientist? A data engineer? A data analyst? An ML engineer? The number of role options is overwhelming! Here's some high-level guidance on how to pick between some of these roles. 1/5
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