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Maggie | Data Scientist (@maggieindata), Instagram profile photo
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Maggie | Data Scientist

Entrepreneur
@maggieindata
helping you navigate careers in ai + tech 📧 partnership: đŸ‘©đŸ»â€đŸ’» build your data science portfolio with me👇👇 📍 toronto
  • Technology
  • Following 437
  • Followers 79K
  • Engagement 0.7%
  • Avg comments 13

About Maggie | Data Scientist

Maggie | Data Scientist (@maggieindata) is an Entrepreneur creator on Instagram, also filed under Technology. The account has 79,010 followers and 559 published posts. Recent posts average 618 likes and 13 comments, an engagement rate of 0.7%.

With 79K followers, Maggie | Data Scientist is a micro creator by the common 10,000 to 100,000 definition. Set against 437 accounts followed, the audience works out to about 181 followers per account Maggie | Data Scientist follows. Maggie | Data Scientist carries Instagram's verified badge and uses an Instagram professional account. Flinque files Maggie | Data Scientist under Entrepreneur, with Technology as a secondary category.

The Instagram bio for Maggie | Data Scientist runs to 16 words across 4 lines. Emoji sit alongside the words. The latest activity Flinque has on record for Maggie | Data Scientist dates from January 2026.

Story Highlights

Unlocking shows the title and cover image of every story highlight this creator keeps pinned to the profile.

559 Posts

Of the 10 most recent posts shown for Maggie | Data Scientist, 9 are videos and 1 is a carousel. That mix leans toward videos. Maggie | Data Scientist has built a substantial archive of 559 posts. Against the audience, that is roughly 141 followers for each post published. Maggie | Data Scientist also keeps 7 story highlights on the profile. All 10 carry captions, averaging 69 words each. The captions are written mainly in English. Words that recur across them include tech, question, you’re, often and roles. The captions tag #womenintech, #datascience, #dataanalyst, #interview and #career.

In this typical data analyst interview question, if you’re not given a specific scenario to work with, they’re looking for structured thinking, stakeholder communications, and project hand off (aka documentation and long term thinking)

#dataanalyst #interview #womenintech
Weird flex but ok..
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#career #tech #womenintech
Cleaning messy data is the bread and butter of a data analyst and data scientist job. This question often comes up in the technical portion of your interviews. The hiring manager is looking for a structured and thoughtful response that involve lots of communications with stakeholders throughout the process💕 you got this

#datascience #dataanalytics #breakintotech #careerindata #womenwhocode
Hypothesis testing component explanation continues! These basic statistics concepts are fundamental for A/B testing and often asked in data and product roles 💡

What interview concept would you like me explain next?

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This one is for my introspective high-achievers out there. Whatever you’re not changing, you’re choosing ~
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1. The constant tension between ‘I should learn this new tool’ and ‘I should master what I already know’

2. The quiet disappointment of creating something amazing that ends up unused for business reasons outside of your control

3. Those moments when your code works but you’re not entirely sure why, but you’re too relieved to question it

4. The fear that you picked the wrong specialty and now it’s too late to switch without starting over

5. The exhaustion of maintaining a learning mindset when your brain is already fried from solving problems all day

6. Secretly wondering if everyone else finds this as hard as you do sometimes, or if you’re ‘just not cutout for this’

7. The unspoken relief when a meeting gets canceled and you suddenly have time to actually code

8. Realizing that being “good at tech” is as much about communication and politics as it is about technical skill.

9. The whiplash between feeling behind one day and accidentally being the expert in the room the next.

10. The pressure to always have an opinion, even when you’re still thinking things through.

11. Discovering that most roadmaps are more aspirational than realistic.

12. Watching tools, frameworks, or entire roles become obsolete faster than you expected.

13. The strange guilt of having a “good job” but still feeling stressed, tired, or unfulfilled.

14. Learning that promotions often reward visibility, not just quality of work.

15. The anxiety of code reviews—no matter how senior you get.

16. Realizing that “impact” is sometimes measured in slides and meetings, not actual improvements.

17. The slow shift from “I just want to build cool things” to “I want work that doesn’t drain me.”

18. Understanding that burnout doesn’t always come from overwork—sometimes it comes from lack of autonomy or purpose.

19. The moment you realize everyone is Googling, debugging, and figuring it out as they go.

20. Accepting that a tech career isn’t a straight line—it’s a series of pivots, pauses, and recalibrations.
4 underrated free tools for AI builders (zero API costs):

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tags:OpenSource, AIBuilder, NoCode, DataEngineering, TechTools
The assumptions of linear regression models is a commonly asked question in big tech companies for data science and data scientist roles. Remember: linearity, independence, homoscedastivity, normality of errors.

📍save this for later!
Send it to that friend đŸŽ§đŸ€

#2026 #visionboard #cozy #inspiration

Maggie | Data Scientist's engagement

Maggie | Data Scientist's engagement rate on Instagram is 0.7%, under 1%, fewer than 1 like or comment per 100 followers. On a typical post that comes to about 1 like or comment for every 143 followers. An average post collects 618 likes and 13 comments, close to 48 likes for each comment.

Engagement rate

0.7%

Avg likes
618
Avg comments
13
Interactions : followers
1 : 143

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Research Maggie | Data Scientist further

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Frequently asked questions

These answers about Maggie | Data Scientist are generated from the Instagram profile data Flinque holds for the account.

Who is Maggie | Data Scientist?

Maggie | Data Scientist (@maggieindata) is an Entrepreneur creator on Instagram, also filed under Technology. Maggie | Data Scientist carries Instagram's verified badge and uses an Instagram professional account. The Instagram bio for Maggie | Data Scientist runs to 16 words across 4 lines.

How many followers does Maggie | Data Scientist have?

Maggie | Data Scientist has 79,010 followers on Instagram (79K). Set against 437 accounts followed, the audience works out to about 181 followers per account Maggie | Data Scientist follows. Maggie | Data Scientist has built a substantial archive of 559 posts.

What is Maggie | Data Scientist's engagement rate?

Maggie | Data Scientist's engagement rate on Instagram is 0.7%, under 1%, fewer than 1 like or comment per 100 followers. On a typical post that comes to about 1 like or comment for every 143 followers. An average post collects 618 likes and 13 comments, close to 48 likes for each comment.

What does Maggie | Data Scientist post about on Instagram?

Flinque files Maggie | Data Scientist under Entrepreneur, with Technology as a secondary category. Of the 10 most recent posts shown for Maggie | Data Scientist, 9 are videos and 1 is a carousel. The 10 recent Instagram captions Flinque holds for Maggie | Data Scientist repeatedly use the words tech, question, you’re, often and roles. Maggie | Data Scientist's captions carry hashtags such as #womenintech, #datascience and #dataanalyst. Maggie | Data Scientist writes those captions mainly in English. Maggie | Data Scientist keeps 7 story highlights, which open with a free Flinque account.

How do I contact Maggie | Data Scientist for a collaboration?

Maggie | Data Scientist's contact details are not published on Flinque's public profile. The Instagram bio links to 3 external sites, and a free Flinque account opens those links. Brands with a free Flinque account can shortlist Maggie | Data Scientist and use Flinque's outreach tools wherever a contact route is on file.

Maggie | Data Scientist's own Instagram profile is the one outbound link Flinque publishes for the account, and the 3 bio links open after signing up.

Public profile data sourced from Instagram. Flinque is not affiliated with Maggie | Data Scientist.

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