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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.
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.
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!
Connect with Hai, Sravya, and Shane (let us know which streaming platform sent you!):
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.
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.
In this episode of the Data Neighbor Podcast, we sit down with Dawn Choo (aka Ask Data Dawn), a data scientist turned entrepreneur, to explore her fascinating journey from finance to big tech to building her own business. Dawn shares insights into navigating visa challenges, taking calculated risks (like a 40% pay cut!), and transitioning from a Business Analyst role to a Data Scientist at top companies like Amazon and Meta. Dawn also talked about how an unexpected turn of events led her to be on the NFL cheerleading squad in the Super Bowl.
In this episode of the Data Neighbor Podcast, we sit down with Kartik Singhal (Senior Machine Learning Engineer at Meta) to explore his inspiring journey from a small town in India to working at some of the world’s top tech companies (Amazon, Google, and Meta). Kartik shares his struggles with insecurities, tips for building confidence, and the intentional decisions that shaped his career.
Sr. Director of Data Science Gene Tabach gets real about breaking into big tech, data science wins, and the secret sauce to career success.
Discover how data scientists, analysts, analytics engineers, and ML engineers can prove their value by linking their work to one of three things - key metrics, roadmap directions, and process changes.
Join hosts Hai, Sravya, and Shane as they kick off the Data Neighbor Podcast, breaking down data science myths, sharing career journeys, and revealing how anyone can thrive in this field!
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