What is lacking from this post targeted at Data Scientist on LinkedIn to make it logical, comprehensive, relatable, convincing, empowering, and unique. Aspiring Data Scientist: This Why Authenticity Is The Winning Strategy
"Can you tell us why you are suitable for this role?"
Candidate "I'm glad you asked, I have been waiting for this moment. My name is Hope, Hope Powell. I was born in 1989 and the only child to my parent. In 1989 our society was at war, poverty was as popular as the latest OpenAI release, it was chaotic and most people had lost hope. My parent thought naming me Hope would begin a shift in their life and the tight community we were part of. Growing up, we didn't have much but I had everything I needed; the unconditional love of my parent. Everyone thought back then I should become a doctor, engineer or accountant because these professionals were well-respected and were generally well-paid. It didn't help my cause either because I was good at maths so to them it was a no brainer. But I have never been known as someone who follows conventional paths. I'm Hope, and what I do must bring more than hope. I thought to myself, I need to become a writer or storyteller. Where did that come from? My grandmother, God bless her soul. She was brilliant at sharing stories, even the most painful ones would be delivered in such an elegant way that you wouldn't believe it was painful. Do you see the smile that illuminates my face as I relate this? That's from her, she was that awesome. Instead of enrolling for a degree in science or related subjects, I chose to study literature and history. Strange I know for someone so good at maths! What I had realised was the importance of language in effective communication and history well was a way for me to acquire and understand what happened in the world. After graduation, I didn't look for a job immediately, I tried my hands on stand-up comedy. It was lots harder than I'd thought but through this, I got to understand humans better. Because it couldn't sustain my life, after a few months I took a second job as a bartender. Fast forward two years later, I was working as an executive assistant to a multiple talented businessman. I got to travel the world and attend some high-stakes meetings. Then one day, something changed. I attended one meeting where a team of analysts presented their results and recommendations for a very important project they had been working on for a while.  Despite their best effort, they didn't get the buy-in of the stakeholders. I felt disappointed for them and at the same time, I wondered if the outcome could have been different had they presented it differently. A few later, I bumped into one of the analysts during lunch. We started talking and the subject of that meeting came up. I enquired to know a bit more. I asked if they could break it down to me in plain simple English. They did ok but I wasn't sold either. So I then realised the problem wasn't their proposal rather they failed to convey more concisely what they were proposing and the benefit that would follow. I offered to help out if I could whenever they had to present. Sure enough, a few weeks later they had another shot but for a different project. A week before the presentation, I went through the material with them and provided my takes which they took on board. In the meeting, the stakeholders were amazed and the outcome was favourable this time. On the spot, they credited me with helping them get there. In the following months, I asked my boss if I could do job shadowing to understand what the analysts were working on and if there were ways I could contribute more. I ended up loving the work and secured a role as a Junior analyst. I worked my way up to being the director of analytics. Today I manage a team of more than a dozen data scientists. I've trained and mentored many more who have gone on to excel in their career. I am Hope and I bring more than hope. 
This is just the beginning!