81. How to Future-Proof Your Career with AI Skills in 2025 and Beyond with Aleksandra Przegalinska

82. Landing your First Job In Data Science with Jules Malin

In this episode, Ryan sits down with Jules Mailin — data science professor at the University of San Diego and former data science leader at GoPro — to unpack the real strategies aspiring data professionals need to break into the industry.Jules shares his own pivot story from operations to data science, the common myths about landing a role, and the practical steps undergrads (or career switchers) can take to stand out in a competitive job market. If you’re applying to hundreds of roles and getting ghosted, this is your blueprint to turn it around.💡 What You’ll Learn:Why imposter syndrome is your biggest enemy — and how to beat itThe three most effective education paths into data scienceWhat hiring managers actually look for in your resumeHow to build a compelling portfolio (with non-cliché projects)How to reverse-engineer job descriptions to tailor your resumeThe secret power of referrals — and how to land one on LinkedInWhy storytelling is a must-have skill for technical candidatesThe importance of understanding your target industry domain🛠 Jules’ Tips for Aspiring Data Scientists:Focus on core skills: SQL, Python, and business problem-solvingCreate a full-scope portfolio: Include a business case, notebook, and executive-ready summaryAvoid copy/paste projects: Skip Titanic and Kaggle clones — go find unique public datasetsBe intentional: Don’t “spray and pray” your resume — tailor it to your dream roleUse LinkedIn wisely: Reach out to alumni, second-degree connections, and always include your resume in DMsGo beyond online: Networking in person is underrated and powerful#datascience #jobseeker

81. How to Future-Proof Your Career with AI Skills in 2025 and Beyond with Aleksandra Przegalinska

AI isn’t just a tool — it’s becoming a teammate, a critic, and even a decision-maker. In this episode, Dr. Aleksandra Przegalińska — a global AI researcher and MIT fellow — joins TechGuide to explore how students and professionals can collaborate with AI, not compete against it. From AI's growing influence in creative industries to real-world prompting tips, Aleksandra shares cutting-edge insights on using AI responsibly and effectively. Plus, hear about her groundbreaking experiment writing a book with ChatGPT, Gemini, and Claude. If you’re a student, marketer, or anyone curious about working with AI, this episode will change the way you think about tech in your life and career. What You’ll Learn: Why every student needs to understand AI, regardless of their major How AI is changing creative industries — and what that means for marketers The art of prompting: How to get better results from ChatGPT and other tools Which skills will matter most in an AI-driven workforce Real examples of using AI as a collaborator, not just a generator Tips on finding legit resources to learn AI How hybrid teams of humans + AI will shape the future of work Timestamps: 00:00: Intro: Why students must understand AI 01:20: AI is the new internet: A universal platform 02:45: Which industries AI is impacting most 04:15: How AI is changing the creative process 05:40: Ethical concerns + AI delegation in daily life 07:10: Prompting tips: How to get better responses 09:20: Why long, specific prompts work better 10:40: Creative use case: Using AI as a critic 13:15: Avoiding AI-generated content fatigue 15:00: ChatGPT lingo and standing out with authenticity 16:40: Skills students need to thrive alongside AI 18:00: Human-AI collaboration in hybrid teams 19:30: Everyone uses AI — how to stand out anyway 20:45: Projects and experiments that impress in AI fields 23:00: Final advice: Where students should start with AI 24:00: Free courses and resources to learn AI 25:00: Where to connect with Aleksandra

80. How to Break Into Data Science (and Land a High-Paying Job) with Dr. Gene Ray

Want to break into data science and land a high-paying job? In this episode of The Tech Guide Podcast, we sit down with Dr. Gene Ray, a professor at Kennesaw State University and an industry expert who has helped countless students launch their careers in data science.Dr. Ray shares insider tips on:✅ The most important skills to learn (Hint: It’s not just coding!)✅ The best programming languages for data science✅ How to get hands-on experience while still in school✅ The role of AI in data science (and whether it’s coming for your job)✅ How to stand out in interviews and impress top employersWhether you're a student, career switcher, or just curious about data science, this episode is packed with actionable advice to help you turn classroom knowledge into a successful career.Timestamps:0:00 - Welcome to The Tech Guide Podcast0:30 - From Student to Data Science Pro: What It Takes2:00 - Meet Dr. Gene Ray: His Journey & Expertise4:00 - The #1 Skill You Need to Succeed in Data Science5:20 - Python vs. R vs. SAS: Which Language Should You Learn?6:45 - Do You Need to Be Good at Math for Data Science?8:30 - Data Science Career Paths: Which One is Right for You?10:15 - How to Get Hands-On Experience in College (Even Without an Internship)11:45 - Best Side Projects to Build Your Data Science Portfolio13:00 - Real Student Success Stories: How They Landed Jobs14:30 - Should You Do Kaggle Competitions? Are They Worth It?16:00 - Master’s vs. PhD in Data Science: Do You Really Need One?17:50 - Can You Get a Data Science Job with Just a Bachelor’s Degree?19:30 - How AI & ChatGPT Are Changing Data Science Careers21:00 - Soft Skills You Need to Stand Out in Data Science22:30 - How to Land Your First Data Science Job23:30 - Dr. Gene Ray’s #1 Advice for Aspiring Data Scientists24:30 - Where to Connect with Dr. Gene Ray#DataScience #techcareers #MachineLearning

79. How to use AI for Cover Letters and Resumes

In this episode of the TechGuide podcast, Ryan sits down with Camille Crittenden, Executive Director of the Center for Information Technology Research in the Interest of Society (CITRIS) at UC Berkeley. Camille shares her insights on how undergraduates can break into the tech industry, whether they are studying STEM or the humanities. They discuss essential skills, the role of AI in shaping the future of work, tips for landing the first internship or job, and ways to stay ahead in the fast-moving tech industry. Camille also talks about the importance of unique personal experiences and how to leverage them to stand out in the job market. Additionally, they cover effective use of Gen AI tools for resumes and cover letters, AI ethics, and the impact of international experiences on career development. Time Stamps: 00:00 Introduction and Guest Background 00:23 Welcome to the Tech Guide Podcast 00:40 Breaking into Tech: Essential Skills and AI's Role 00:52 Camille's Career Journey and Advice for Students 02:47 Humanities Students in Tech 04:26 Internships and Job Market Tips 05:50 The Role of Gen AI in Job Applications 08:14 Interview Tips and Common Mistakes 12:32 AI Ethics and Policy 17:26 The Benefits of Studying Abroad 20:07 Camille's Musical Interests 21:01 Final Advice and Conclusion #coverletter #ai

78. How to get a Research Opportunity In Undergraduate with Peter Stone

In this episode of the TechGuide Podcast, we sit down with Peter Stone, a leading expert in artificial intelligence and robotics. As the head of the Learning Agents Research Group at the University of Texas at Austin and Chief Scientist at Sony AI, Peter has spent decades shaping the future of AI and guiding the next generation of innovators. We dive into AI career paths, the importance of interdisciplinary expertise, research opportunities, and how students can break into the field. Whether you're an aspiring AI researcher or looking to land your first AI job, this episode is packed with actionable insights. Time stamps: 00:38 Introduction 01:17 Peter Stone's Journey into AI 02:01 Advice for Aspiring AI Professionals 04:22 The Importance of AI History 06:12 Choosing Your Path in AI 11:01 The Value of Research in AI 15:56 Online Master's Programs at UT Austin 19:22 Gaining Hands-On Experience in AI 20:44 What Employers Look for in AI Candidates 23:09 Final Advice for Undergraduates 23:44 Connecting with Peter Stone