Data Neighbor Newsletter
Shane Butler, Maarten Grootendorst, Colin Matthews, Hai Guan, Sravya Madipalli, Manoj MohanWe reveal the secrets to a thriving data career, providing insights, emerging trends, and an insider's view of how data and AI transform our profession
| Platform |  | Pricing | Only free issues | Publishes | Weekly |
|---|---|---|---|---|---|
| Issues | 40 | Subscribers | Read | dataneighbor.substack.com |
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Latest Issues
Recent posts by this newsletter. Browse the email archive.
How to Land a Machine Learning Job Today
The biggest fear in tech right now is job security. With AI automating coding and other complex tasks, many aspiring Machine Learning Engineers are asking: “Will this job even exist by the time I break in?”
The Boring Future of Data Engineering
What does the future of data organizations look like in 2030? In this episode of the Data Neighbor Podcast, we sit down with Manoj Mohan, former Head of Engineering for Data and AI Platforms at Intuit and senior Eng leader at Meta, Cloudera...
How Top AI Products Are Evaluated
Ever launched an AI feature that just "feels good" but you can't prove it's actually working? In the world of generative AI, moving past subjective vibe checks is the biggest challenge for product teams. How do you build a system you can tr...
How to Build a Data Analyst AI Agent
Ever feel like your data team is drowning in a sea of ad-hoc questions? "Can you pull this number?" "What were sales last quarter?" "Why did this metric dip?" What if you could deploy an AI agent to handle the deluge, giving your team back ...
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Authors
The writers behind this newsletter.
Data Scientist | Psychologist | Writer | Open Source Developer (BERTopic, PolyFuzz, KeyBERT) | At the intersection of Artificial Intelligence and Psychology
I'm excited to help you learn more about how software gets built! I had my first SaaS product acquired in 2021 and have worked in healthtech for 6+ years. PM @ Datavant, 5000+ students
Co-Host of Data Neighbor Podcast. Data Science leader with 16+ years of experience in Big Tech. Real estate investor.
I help grow teams & build SaaS products serving billions of requests per day, generating $100M+ in revenues and used by 140M+ end users & customers.
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