Data Neighbor Podcast

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

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

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!

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