|
The first time I ever presented my work in public was at a finance symposium when I was 27. I was close to submitting my PhD thesis and my supervisor offered me the opportunity as a supporting speaker to a renowned international mathematical finance researcher. I was the final speaker of the day. By the time I took the podium, almost everyone had gone home. Fewer than 10 people remained in the room. But the researcher was still there. Afterwards, I headed to the airport, and ran into him in the departure lounge - he was flying to Melbourne, I was flying back to Canberra. While we waited for our flights, we talked for about half an hour. He gave me feedback on my presentation and encouraged me in my future career. I've long since forgotten what that researcher told me, but what I do remember was how it made me feel - that my work mattered and that people were paying attention. Had I been just another attendee at that conference, that conversation never would have happened. It happened because I had shown up and done the work - presented something I'd built, in a room that was mostly empty, for an audience that had largely left. Next week, the 100th episode of Value Driven Data Science goes live. Value Driven Data Science also started with a mostly empty room. For a long time, I had no idea whether anyone was listening, whether people cared about what I had to say or whether I would even be able to convince guests to appear. But I showed up anyway. Now, 100 episodes later, the show is ranking in the Listen Notes global top 10% (you can find the back catalogue on Apple Podcasts or Spotify or by clicking HERE). More importantly, it's given me the opportunity to speak with some of the most interesting and influential thinkers in the data profession - people I might never have had the opportunity to speak to otherwise. For Episode 100, we're going to be doing something different. In this episode, the tables are turned and Matt O'Mara, Managing Director of Analysis Paralysis and Director of i3, is going to interview me. I hope you'll tune in and listen. And if you've been thinking about showing up somewhere - presenting, publishing, putting your ideas out there - let this be the nudge. The room doesn't have to be full. Sometimes, you just have to be in it. You can listen to the first 99 episodes of Value Driven Data Science now on Apple Podcasts or Spotify, or at https://valuedrivendatascience.com/. Episode 100 goes live on Thursday 9th April. Talk again soon, Dr Genevieve Hayes |
Twice weekly, I share proven strategies to help data scientists get noticed, promoted, and valued. No theory — just practical steps to transform your technical expertise into business impact and the freedom to call your own shots.
When I started my career, data science didn’t exist as a field. I trained as an actuary and statistician and those were the tools I relied on in my earliest roles. Then, around 10 years ago, I started hearing about the wonders of machine learning and became worried that my traditional training was no longer enough. So, despite already having a PhD in Statistics, I went back and completed a Masters in Machine Learning. Then came the AI wave – ChatGPT, large language models, generative AI – and...
The most valuable lessons I’ve learned in my data science career weren’t learned in a classroom. They came from conversations with people who’d already figured things out the hard way. My podcast has been a more valuable learning tool for me than all of my university degrees combined. Over 100 episodes, I’ve had the chance to speak one-on-one with some of the sharpest minds in the industry - CEOs, best-selling authors and leading researchers - on everything from cutting-edge AI to what it...
In 2015, I fell in love with a job I would never have. I’d just attended a conference where people were talking about machine learning and data science as the way of the future. I returned to the office eager to learn more and started down the data science rabbit hole - where I stumbled across an article about the recently established NYC Mayor’s Office for Data Analytics. They were using data science to locate illegal cooking oil dumping in the city’s sewers. To coordinate emergency services...