@topfloor.mommy: #targetaudience #destroylonely #fyp

raya
raya
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Region: GR
Tuesday 18 August 2026 17:25:59 GMT
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zakch192
Zakch19 :
Im 2 locked in missin all my 🥷´s
2026-08-18 17:43:05
8
benwoah3
benwoah :
remember when it was called let me know
2026-08-18 17:46:38
16
destroylonelylover72
destroylonelylover72 :
destroylonelylover72
2026-08-19 05:23:34
9
vvsalta
f :
my song brooooo
2026-08-22 01:42:49
1
userthree92
tania :
Hey can u send us ur playlist pls
2026-08-20 00:40:42
1
findingcomfort_4
findingComfort :
Im too locked in..missing all my ngas🫶🏾
2026-08-19 09:47:30
1
shitty.mds
mds :
2026-08-21 00:59:00
2
fuarkistani0
CRSTLCSTLES :
2026-08-18 19:06:16
3
nylonv1
2026-08-19 15:31:00
1
lzzzro00
Lázaroooo*** :
2026-08-19 13:45:25
2
topshelf.inc
topshelf :
Crib got a pool u could swim if u want💜
2026-08-18 19:09:01
2
bryanc1629
Bobby🇬🇧🇺🇸 :
i got scammed 30$ by some dude claiming he has perfect aim cdq🫩😭
2026-08-18 18:49:36
0
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Data Science careers depend heavily on a strong LinkedIn profile. Recruiters from companies in the UK, USA, and Saudi Arabia often search LinkedIn before offering interviews. If your profile is weak, incomplete, or poorly written, you may be missing real opportunities in data science and AI. Day 398 of my Data Science journey: Today I fixed my LinkedIn profile in 10 minutes using Gemini AI. Instead of spending hours thinking about how to write summaries, skills, and experience descriptions, I asked Gemini to help optimize my profile for data science roles. It suggested clearer headlines, stronger keywords like machine learning, Python, data analysis, and helped improve my summary so recruiters can quickly understand my expertise. Here’s the simple process I used: First, I asked Gemini to rewrite my LinkedIn headline using strong data science keywords. Then I used it to improve my About section so it clearly shows my skills in machine learning, Python, and analytics. Finally, I optimized my experience descriptions with measurable achievements and relevant tools. Small changes like these can make your profile more visible when recruiters search for data scientists. If you’re trying to land data science jobs internationally, your LinkedIn profile is one of the most important tools you have. A well-optimized profile helps recruiters find you and increases your chances of getting interviews. Question for you: What do you think is the biggest mistake in most LinkedIn profiles? A) Weak headline B) Empty About section C) No projects listed D) No keywords for data science Comment A, B, C, or D — I’m curious to see what most people struggle with. #creatorsearchinsights #datascience #datasciencejobs #linkedin #machinelearning
Data Science careers depend heavily on a strong LinkedIn profile. Recruiters from companies in the UK, USA, and Saudi Arabia often search LinkedIn before offering interviews. If your profile is weak, incomplete, or poorly written, you may be missing real opportunities in data science and AI. Day 398 of my Data Science journey: Today I fixed my LinkedIn profile in 10 minutes using Gemini AI. Instead of spending hours thinking about how to write summaries, skills, and experience descriptions, I asked Gemini to help optimize my profile for data science roles. It suggested clearer headlines, stronger keywords like machine learning, Python, data analysis, and helped improve my summary so recruiters can quickly understand my expertise. Here’s the simple process I used: First, I asked Gemini to rewrite my LinkedIn headline using strong data science keywords. Then I used it to improve my About section so it clearly shows my skills in machine learning, Python, and analytics. Finally, I optimized my experience descriptions with measurable achievements and relevant tools. Small changes like these can make your profile more visible when recruiters search for data scientists. If you’re trying to land data science jobs internationally, your LinkedIn profile is one of the most important tools you have. A well-optimized profile helps recruiters find you and increases your chances of getting interviews. Question for you: What do you think is the biggest mistake in most LinkedIn profiles? A) Weak headline B) Empty About section C) No projects listed D) No keywords for data science Comment A, B, C, or D — I’m curious to see what most people struggle with. #creatorsearchinsights #datascience #datasciencejobs #linkedin #machinelearning

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