Data Neighbor Podcast

Data Neighbor Podcast
Data Neighbor Podcast

Welcome to the Data Neighbor Podcast with Hai, Sravya, and Shane! We’re your friendly guides to the ever-evolving world of data. Whether you’re an aspiring data scientist, a data professional looking to grow your career, or just curious about how data shapes the world, you’re in the right place. Our mission? To help you break in or thrive in the field of data. We dive into: - Personal career journeys and how luck, opportunity, and grit play a role - How to break into the data field even with a non-traditional background - Industry insights through engaging conversations and expert interviews

  1. 1 DAY AGO

    Ep13: How to Master AI for Data Science (Before It’s Too Late)

    AI is creating a massive career arbitrage moment—but are you taking advantage of it? In this episode, we sit down with Yuzheng, an AI course instructor, ex-Meta, Amazon, Tencent, and a leading voice in the GenAI space. Yuzheng breaks down how the next 10-18 months will redefine careers and why those who embrace AI now will skyrocket ahead.🔹 AI isn’t replacing jobs—it’s amplifying potential.🔹 The skills that matter in the GenAI world (and what’s becoming obsolete).🔹 How AI-powered tools can make you a force multiplier at work.🔹 The mindset shift needed to stay ahead of the AI curve.Whether you're a data scientist, analyst, machine learning engineer, or just AI-curious, this episode will give you a practical roadmap to stay ahead before this window of opportunity closes.🔗 Links Mentioned in the Episode👉 Yu Zheng's AI Course on Maven: https://maven.com/kedaibiao/genai👉 Cursor: https://www.cursor.com/Connect with Hai, Sravya, and Shane (let us know which platform sent you!): Hai: https://linkedin.openinapp.co/4qi1rSravya: https://linkedin.openinapp.co/9be8cShane: https://linkedin.openinapp.co/b02feIf you need personalized advice for your data science career roadmap, send us a message on LinkedIn or post a comment below!

    56 min

  2. FEB 5

    Ep12: How to Master Storytelling with Josh Starmer from StatQuest

    Ever wondered how to make the complex simple and the technical engaging? Join us for a fascinating episode as we sit down with Josh Starmer, the mastermind behind the wildly popular YouTube channel  @statquest ! Known for making statistics and machine learning concepts approachable, Josh shares his secret sauce to storytelling, simplifying concepts, and tips and tricks to help one become better at communication in general. In this episode, we cover: 🌟 The origin story of StatQuest: From a genetics lab to YouTube stardom. 🎥 The art of storytelling: How Josh turns dense topics into clear, engaging narratives. 🧠 Simplifying the complex: How to focus on the main idea while avoiding information overload. 🔧 Practical advice: Using problem-first thinking to guide your learning and career growth. Whether you're a data professional, an aspiring data scientist, or someone curious about the power of storytelling in tech, this episode is packed with insights and inspiration. Oh, and did we mention the Triple BAM (and why there's no quadruple BAM)? Don’t miss this one-of-a-kind conversation with one of the most beloved educators in the AI and data science community. 🔗 Links Mentioned in the Episode StatQuest YouTube: https://www.youtube.com/c/joshstarmer StatQuest: https://statquest.org/ Follow Josh: https://www.linkedin.com/in/areganti/ Connect with Hai, Sravya, and Shane (let us know which platform sent you!): Hai: https://linkedin.openinapp.co/4qi1r Sravya: https://linkedin.openinapp.co/9be8c Shane: https://linkedin.openinapp.co/b02fe If you need personalized advice for your data science career roadmap, send us a message on LinkedIn or post a comment below!

    51 min

  3. JAN 29

    Ep11: 4 Steps to Becoming an AI Engineer

    Ever wondered how to transition into the AI engineering space or what skills truly matter in this fast-evolving field? In this episode of Data Neighbor Podcast, we sit down with Aishwarya Reganti, a Generative AI Tech Lead at Amazon's AWS, to dive into the essentials of AI engineering and separate the signal from the noise surrounding AI today. Aishwarya shares her journey from researcher to enterprise innovator and reveals: - AI Engineering practical tips, roadmaps, and myths busted. - How to get started with AI, whether you're a mid-career switcher or a recent graduate. - A clear roadmap of skills to master, including concepts like RAG, agents, and prompt engineering. - Practical advice for building AI projects that solve real problems and avoid unnecessary complexity. - How to stay focused amidst the overwhelming amount of AI content and buzzwords. Whether you're looking to break into the field, better understand the hype around AI, or learn how to apply AI concepts simply and effectively, this episode is packed with insights for you. - Links Mentioned in the Episode Aishwarya's Maven Course: https://lnkd.in/eiBx3Eaz DeepLearning.AI Free Courses: https://www.deeplearning.ai/ Tools Highlighted: NotebookLM, Claude, PotSmart, and more Follow Aishwarya: https://www.linkedin.com/in/areganti/ Connect with Hai, Sravya, and Shane (let us know the podcast platform sent you!): Hai: https://linkedin.openinapp.co/4qi1r Sravya: https://linkedin.openinapp.co/9be8c Shane: https://linkedin.openinapp.co/b02fe If you need personalized advice for your data science career roadmap, send us a message on LinkedIn or post a comment below! #ai #aiengineering #generativeai #artificialintelligence #techcareers #datascience #machinelearning #rag #promptengineering #techroadmap #careeradvice #innovation #aiprojects #techpodcast #dataneighbor #datapodcast #airoadmap #careeradvice #career #aiagents #finetuning

    1h 8m

  4. JAN 18

    Ep10: How to Grow your Data Science Career - Most People Miss These Crucial Elements

    Curious about building a long-term career in data science? This episode of the Data Neighbor Podcast dives deep into actionable strategies and leadership insights for aspiring and experienced data professionals. Join us as we chat with Manisha Arora, a data science leader at Google and founder of PrepVector, as she shares her inspiring journey and practical advice. We cover: -The data science roadmap and how to plan for a successful career in data science and analytics. -Differentiating between managers and leaders in data roles. -Strategies for career growth in data science, including networking, coaching, and mentoring. -The importance of ownership mentality and transitioning from non-tech to tech roles. -Underrated skills in data science, from storytelling to prioritization. Whether you're exploring the data science roadmap in 2025, aiming for leadership in data science, or transitioning from a non-tech background, this episode is packed with insights to help you thrive in this evolving field. Connect with Manisha: https://www.linkedin.com/in/manisha-arora1/ Connect with Hai, Sravya, and Shane (let us know Apple or Spotify sent you!): Hai: https://linkedin.openinapp.co/4qi1r Sravya: https://linkedin.openinapp.co/9be8c Shane: https://linkedin.openinapp.co/b02fe If you need personalized advice for your data science career roadmap, send us a message on LinkedIn or post a comment below! #datascience #datascienceroadmap2025 #dataanalystroadmap2025 #datasciencecareer #datascienceleader #techpodcast #PrepVector #googledatasciience #growthmindset

    1h 8m

  5. JAN 12

    Ep9: AI Simplified - What You Need to Know About Evolution and Future of AI (LLMs, AI Agents, RAG)

    Curious about AI but overwhelmed by the jargon? This episode of the Data Neighbor Podcast breaks down the evolution of artificial intelligence in a way anyone can understand! Join us as we chat with Karan Singh, a senior software engineer at Salesforce, to explore AI's journey from rule-based systems to generative AI like ChatGPT and large language models (LLMs). We also talked about whether AI can (or cannot) reason and why they're perceived to be intelligent. We cover: - The history of AI and how it evolved into tools like ChatGPT. - Can LLMs reason? - Why LLMs and AI Agents are revolutionary and how they’re used today. - The future of AI, including AGI (Artificial General Intelligence) and how it could reshape jobs. - Practical advice for breaking into the AI field - whether you’re technical or not! Whether you're a beginner in tech or just curious about where AI is headed, this episode is your crash course to understanding it all—simplified, engaging, and insightful. Connect with Karan: https://linkedin.openinapp.co/whh2h Connect with Hai, Sravya, and Shane (let us know YouTube sent you!): Hai: https://linkedin.openinapp.co/4qi1r Sravya: https://linkedin.openinapp.co/9be8c Shane: https://linkedin.openinapp.co/b02fe If you need personalized advice in your data career, send us a message on LinkedIn or post a comment below! #ArtificialIntelligence #AI #ChatGPT #GenerativeAI #MachineLearning #DataScience #TechPodcast #futureofwork

    45 min

  6. JAN 5

    Ep8: Data Science Salary - Are You Paid What You’re Worth?

    Curious about the data science salary landscape? In this episode of Data Neighbor Podcast, we dive deep into data scientist salary insights, uncovering the salary of data scientists across industries. From data science compensation structures to a detailed tech salary breakdown, we explore everything you need to know about data scientist pay and data science jobs. Using reliable sources like levels.fyi salary, we provide a data scientist salary comparison and even tackle the question: data science vs doctor salary - who earns more? Whether you're aiming for high paying data science jobs, seeking data scientist compensation 2024 trends, or just curious about data science salary in tech, this episode has you covered. Discover tech salary secrets, tips for data science salary negotiation, and insights into data science industry salary trends. Don't miss this guide to data science salaries explained! Subscribe for more episodes where we explore data science, machine learning, data engineering, business intelligence, and career growth! Connect with Hai, Sravya, and Shane (let us know which streaming platform sent you!): Hai: https://linkedin.openinapp.co/4qi1r Sravya: https://linkedin.openinapp.co/9be8c Shane: https://linkedin.openinapp.co/b02fe If you need personalized advice in your data career, send us a message on LinkedIn or post a comment below! Data science salary resources: Levels.fyi: https://www.levels.fyi/ Glassdoor: https://www.glassdoor.com/Salaries/index.htm LinkedIn: https://www.linkedin.com/ Candor: https://candor.co/guides/salary-negotiation

    23 min

  7. 12/20/2024

    Ep7: Becoming a Data Engineer at Meta

    In this episode of the Data Neighbor Podcast, we chat with VK Xu, a data engineer at Meta, about her remarkable journey from a background in journalism to becoming a data engineer at one of the world’s leading tech companies. VK shares how she transitioned from being a non-technical data journalist to mastering coding, analytics, and engineering in the tech world. We dive into her experiences working at startups like Hoodline and Nextdoor, and how she embraced challenges, sought mentorship, and eventually made the leap to Meta. VK’s story is a testament to the power of adaptability, curiosity, and finding what truly excites you in your career. We explore key topics like: - VK’s pivot from journalism to data engineering - The power of mentorship and finding your strengths - Building a career at Nextdoor and transitioning to Meta - Navigating challenges in data engineering and AI’s impact Whether you're considering a career pivot, aspiring to break into data engineering, or curious about what it’s like to work at Meta, this episode is packed with practical advice, personal stories, and inspiration to help guide your own journey. Subscribe for more episodes where we explore data science, machine learning, data engineering, business intelligence, and career growth! Connect with VK: https://www.linkedin.com/in/huiqixu/ Connect with Hai, Sravya, and Shane: Hai: https://www.linkedin.com/in/hai-guan-6b58a7a Sravya: https://www.linkedin.com/in/sravyamadipalli Shane: https://www.linkedin.com/in/shaneausleybutler If you need personalized advice in your data career, send us a message on LinkedIn or post a comment below!

    53 min

  8. 12/12/2024

    Ep6: How Military Training Prepared a Career in Data Science

    In this episode of the Data Neighbor Podcast, we sit down with Nirmal Budhathoki, a senior data scientist at Microsoft, to uncover his fascinating journey from a small town in Nepal, to joining the military in the US, to leading impactful machine learning and data science projects in Big Tech. Nirmal shares how his unique career path, including his time in the military, shaped his approach to tackling complex data science problems, such as anomaly detection and machine learning applications in cybersecurity. We explore key topics like: - Nirmal’s unconventional career path - Lessons from his time in the military - Approaching complex data problems - Insights on transitioning into big tech Whether you're curious about data science jobs, aspiring to work on machine learning projects, or seeking to improve your data science skills, this conversation offers practical insights and inspiration. Don’t miss Nirmal’s tips on navigating career challenges and staying focused on learning. Subscribe for more episodes where we dive deep into the world of data science, machine learning, data engineering, business intelligence, data engineering, and career growth! Connect with Nirmal: https://www.linkedin.com/in/nirmal-budhathoki/ Connect with Hai, Sravya, and Shane Hai: https://www.linkedin.com/in/hai-guan-6b58a7a Sravya: https://www.linkedin.com/in/sravyamadipalli Shane: https://www.linkedin.com/in/shaneausleybutler If you need personalized advice in your data career, send us a message on LinkedIn or post a comment below Spotify https://open.spotify.com/show/3BZnavSZaJ1VibgGa7uRH4 Apple https://podcasts.apple.com/us/podcast/data-neighbor-podcast/id1780934430

    56 min
See All (13)

Ratings & Reviews

5
out of 5
5 Ratings

About

Welcome to the Data Neighbor Podcast with Hai, Sravya, and Shane! We’re your friendly guides to the ever-evolving world of data. Whether you’re an aspiring data scientist, a data professional looking to grow your career, or just curious about how data shapes the world, you’re in the right place. Our mission? To help you break in or thrive in the field of data. We dive into: - Personal career journeys and how luck, opportunity, and grit play a role - How to break into the data field even with a non-traditional background - Industry insights through engaging conversations and expert interviews

Information

  • Creator
    Data Neighbor Podcast
  • Years Active
    2024 - 2025
  • Episodes
    13
  • Rating
    Clean
  • Copyright
    © Data Neighbor Podcast
  • Show Website
    Data Neighbor Podcast

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