Lowkey. I just got another LinkedIn connection from the Co-founder of a global tech company whose software is being used in over 150 countries and 30,000 organizations. Of course, I’ve accepted the request 💕. Use your LinkedIn well if you’re serious about career advancement 📈.
LinkedIn should be your priority if you’re a professional. Forget Twitter and Instagram. Check my @LinkedIn profile activity, you’ll see I comment and post every other day. Well, enough said. Watch out for info on the video from @datatechspace LinkedIn session last weekend.
There’s something called simple courtesy & I believe we were all taught growing up. The email below is not it. If you ever send such an email to any of the volunteers for @DataTechSpace like this person did, they might be inclined to respond to you but I’ve just told them...
...to air such emails. Firstly, I don’t and will NEVER charge people money to be a part of @DataTechSpace majorly for reasons like this. Below are emails from people in similar situations as our friend above and we resolved their issues within 24-48 hours.
In case y’all were wondering, all the membership emails & discord invites come from me. It takes me ~5 hours each intake cycle before/after @MrsLUU1 & @jenkf_ carry out the verification. Thankfully all that is semi-automated now. Same reason we only accept folks into DTS monthly.
My day was awesome yesterday. Hosted our Linkedin Profile review session with @MaryseAnalyse & @tu_babs for @DataTechSpace fam & others outside DTS. @wbezeani was awesome with the notes @sustainablyally did amazing with answering some questions as you’ll see in this THREAD.
1. A Profile banner makes you stand out right away 2. Let people know simply what you’re about in the header 3. The "About" section should be more personal and authentic
2/10
4. "Interviews are like acting." Play your part well 5. Personal branding is vital & @canva should be your best friend for that 6. For Work Experience,
Quantify what you’ve done. Show how you solved a problem, what tools used & the results (e.g percentages, numbers etc.)