by Dr Genevieve Hayes
Are you tired of spending hours mastering the latest data science techniques, only to struggle translating your brilliant models into brilliant paychecks? It’s time to debug your career with Value Driven Data Science. This isn’t your average tech podcast – it’s a weekly masterclass on turning data skills into serious clout, cash and career freedom. Each episode, your host Dr Genevieve Hayes chats with data pros who offer no-nonsense advice on: • Creating data solutions that bosses can’t ignore; • Bridging the gap between data geeks and decision-makers; • Charting your own course in the data science world; • Becoming the go-to data expert everyone wants to work with; and • Transforming from data scientist to successful datapreneur. Whether you’re eyeing the corner office or sketching out your data venture on your lunch break, Value Driven Data Science is here to help you rewrite your career algorithm. From algorithms to autonomy - it's time to drive your value in data science.
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April 9, 2025
Genevieve Hayes Consulting Episode 59: [Value Boost] How Data Scientists Can Get in the AI Room Where It Happens Everyone’s talking about AI, but the real opportunities for data scientists come from being in the room where key AI decisions are made.In this Value Boost episode, technology leader Andrei Oprisan joins Dr Genevieve Hayes to share a specific, proven strategy for leveraging the current AI boom and becoming your organisation’s go-to AI expert.This episode explains:How to build a systematic framework for evaluating AI models [02:05]The key metrics that help you compare different models objectively [02:28]Why understanding speed-cost-accuracy tradeoffs gives you an edge [05:47]How this approach gets you “in the room where it happens” for key AI decisions [07:20] Guest Bio Andrei Oprisan is a technology leader with over 15 years of experience in software engineering, specializing in product development, machine learning, and scaling high-performance teams. He is the founding Engineering Lead at Agent.ai and is also currently completing an Executive MBA through MIT’s Sloan School of Management. Links Connect with Andre on LinkedInAndrei’s websiteAgent.ai website Connect with Genevieve on LinkedInBe among the first to hear about the release of each new podcast episode by signing up HERE Read Full Transcript [00:00:00] Dr Genevieve Hayes: Hello, and welcome to your value boost from Value Driven Data Science, the podcast that helps data scientists transform their technical expertise into tangible business value, career autonomy, and financial reward. I’m Dr. Genevieve Hayes, and I’m here again with Andrei Oprisan. Head of engineering at agent.[00:00:21] ai to turbocharge your data science career in less time than it takes to run a simple query. In today’s episode, we’re going to explore how data scientists can leverage the current AI boom to accelerate their career progression. Welcome back, Andre.[00:00:40] Andrei Oprisan: Thank you. Great to be here.[00:00:41] Dr Genevieve Hayes: So as I mentioned at the start of our previous episode together, we are at the dawn of an AI revolution with unprecedented opportunities for data scientists.[00:00:51] Now, through your current role at Agent. ai, and prior roles at AI centric companies, such as OneScreen. ai, you’ve clearly managed to capitalize on this AI boom, and are actively continuing to do so, and have managed to build a very impressive career for yourself, partly as a result. Now, the Internet’s full of career tips, but they’re usually very generic advice from career coaches who’ve never worked in the data science or technology space, and their advice usually doesn’t take into account the specific context of the AI landscape.[00:01:35] What’s one specific strategy that data scientists can use right now to leverage the AI boom for faster career progression?[00:01:44] Andrei Oprisan: I would say first building some expertise and prompt engineering and AI model evaluation. I think that’s
April 2, 2025
Genevieve Hayes Consulting Episode 58: Why Great Data Scientists Ask ‘Why?’ (And How It Can Transform Your Career) Curiosity may have killed the cat, but for data scientists, it can open doors to leadership opportunities.In this episode, technology leader Andrei Oprisan joins Dr Genevieve Hayes to share how his habit of asking deeper questions about the business transformed him from software engineer #30 at Wayfair to a seasoned technology executive and MIT Sloan MBA candidate.You’ll discover:The critical business questions most technical experts never think to ask [02:21]Why understanding business context makes you better at technical work (not worse) [14:10]How to turn natural curiosity into career opportunities without losing your technical edge [09:19]The simple mindset shift that helps you spot business impact others miss [21:05] Guest Bio Andrei Oprisan is a technology leader with over 15 years of experience in software engineering, specializing in product development, machine learning, and scaling high-performance teams. He is the founding Engineering Lead at Agent.ai and is also currently completing an Executive MBA through MIT’s Sloan School of Management. Links Connect with Andre on LinkedInAndrei’s websiteAgent.ai website Connect with Genevieve on LinkedInBe among the first to hear about the release of each new podcast episode by signing up HERE Read Full Transcript [00:00:00] Dr Genevieve Hayes: Hello, and welcome to Value Driven Data Science, the podcast that helps data scientists transform their technical expertise into tangible business value, career autonomy, and financial reward. I’m Dr. Genevieve Hayes, and today I’m joined by Andrei Oprisan. Andrei is a technology leader with over 15 years of experience in software engineering.[00:00:24] Specializing in product development, machine learning, and scaling high performance teams. He is the founding engineering lead at Agent. ai, and is also currently completing an executive MBA through MIT’s Sloan School of Management. In this episode, we’ll be discussing how data scientists can grow into business leadership roles by exploring Andre’s own career evolution from technology specialist to seasoned technology leader.[00:00:55] And more importantly, we’ll be sharing specific steps that you can take to follow his path. So get ready to boost your impact, earn what you’re worth, and rewrite your career algorithm. Andre, welcome to the show.[00:01:09] Andrei Oprisan: Thank you. Great to be here. Great[00:01:11] Dr Genevieve Hayes: We’re at the dawn of the AI revolution with everyone wanting to get in on the act and many organizations terrified of being left behind.[00:01:21] As a result, there are more technical data science and AI centric roles being advertised now than ever before. However, this also brings with it unprecedented opportunities for data scientists to make the leap into business leadership, if they’re willing and if they know how. And those are two very big ifs, because in my exper
March 26, 2025
Genevieve Hayes Consulting Episode 57: [Value Boost] 3 Game-Changing Questions to Save Your Data Science Presentations From Falling Flat Every data scientist knows the sinking feeling: you’ve done brilliant technical work, but your presentation falls flat with stakeholders.In this Value Boost episode, communications expert Lauren Lang and data analyst Dr Matt Hoffman join Dr Genevieve Hayes to share their go-to pre-presentation checklist to ensure that sinking feeling never happens again.You’ll walk away knowing:The critical business context most data scientists overlook when presenting their work [02:10]How to ensure your technical content works as hard as you do – whether presented live or shared asynchronously [04:42]The “so what” framework that instantly makes your analysis more compelling to leaders [06:57] Guest Bio Lauren Lang is the Director of Content for Uplevel and is also a Content Strategy Coach for B2B marketers. Dr Matt Hoffman is a Senior Data Analyst: Strategic Insights at Uplevel and holds a PhD in Physics from the University of Washington. Links Connect with Lauren on LinkedInConnect with Matt on LinkedIn Connect with Genevieve on LinkedInBe among the first to hear about the release of each new podcast episode by signing up HERE Read Full Transcript [00:00:00] Dr Genevieve Hayes: Hello and welcome to your value boost from value driven data science, the podcast that helps data scientists transform their technical expertise into tangible business value, career autonomy and financial reward. I’m Dr. Genevieve Hayes, and I’m here again with communications expert, Lauren Lang, director of content at Uplevel, and data analyst, Dr.[00:00:24] Matt Hoffman, product manager at Uplevel, to turbo charge your data science career in less time than it takes to run a simple query. In today’s episode, we’re going to be discussing the most important questions data scientists can ask themselves before presenting any models or analysis to maximize the business impact of their work.[00:00:47] So welcome back Lauren and Matt.[00:00:50] Lauren Lang: Thank you. Glad to be back.[00:00:52] Dr Matt Hoffman: Hello again.[00:00:53] Dr Genevieve Hayes: In the longer conversation we had in our previous episode, we did a deep dive into a project the two of you recently collaborated on at Uplevel, where you combined And that’s data insights with Lauren’s communication expertise to produce significant business results.[00:01:11] After hearing your story, it made me wish that I had had the benefit of working with communications experts in the various jobs I’ve had. Unfortunately, many of the organizations I’ve worked for didn’t even have an internal communications team, or if they did, it wasn’t in their job description to assist the data science team in crafting their message.[00:01:34] Because of that, I’ve found myself creating a mental checklist of questions that I’d ask myself before presenting my work to increase my chances of success. So what I’d like to ask each of you today is what is one essential question that data scientists Can ask before delivering a presentation to transform how their analysis lands.[00:02:04] So Lauren, as a communic
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