TechGuide was created with a simple mission in mind: Develop up-to-date, comprehensive, and easy-to-use informational resources for our readers.
This podcast is an extension of the TechGuide website, which contains degree and career overviews, career profiles, and other guides.
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
26 Mar 2025
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
19 Mar 2025
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
Reach and audience
Public platform figures. Ratings count people who left a rating, not total listeners.
YouTube views
36,542
Score snapshot 15 Sept 2025
Apple Podcasts (US)
5.0 / 5
13 ratings
Podcast Authority Score: 74 / 100
A composite of feed quality, social presence, YouTube performance and engagement. Read the methodology.
Quality
89
Social presence
0
YouTube
76
Engagement
71
Contact TechGuide
Guest appearances
Books guests
Based on episode analysis; this does not confirm that the show is currently accepting guests.
Host of TechGuide?
Claim your podcast to manage its listing and keep your show details accurate.
Pod Engine is an independent podcast discovery and analytics service and is not affiliated with or endorsed by this podcast. Artwork and show content belong to their owners. Full legal notice.
Explore this show Podcast research with Pod Engine
