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Jared Lander

@jaredlander.com
3.2K followers 66 following 152 posts

Owner of Lander Analytics Author of R for Everyone Lecturer at Columbia Business School and Princeton University Organizer of NY Open Statistical Programming Meetup jaredlander.com

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Reposted by Jared Lander
Lander Analytics @landeranalytics.com · 22/09/2026
Working in an air-gapped environment is a good way to discover how much "infrastructure" the internet was quietly handling for you. Actions, images, security tools, updates… without the internet, they become processes involving people, scripts, syncs, and internal repos. Full post: bit.ly/4y8J2TQ
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The Air Gap Does Not Remove the Supply Chain
What changes when your CI/CD infrastructure has no route to the internet
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Jared Lander @jaredlander.com · 09/09/2026
We're fun to work with
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Jared Lander @jaredlander.com · 08/09/2026
We are excited to offer our Agentic Software Development Lifecycle starter kit. Be in touch so we can help your organization modernize their analytic development process.
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Reposted by Jared Lander
Lander Analytics @landeranalytics.com · 01/09/2026
Coding agents can write a lot of code quickly. The question is do you still understand the system you're building? Our post looks at using agentic coding without giving up ownership with practical lessons on EDA, ML, schemas and building on patterns your team already knows. Read here: bit.ly/4gHeMbr
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You Own the Code Your Agent Wrote
How much of it do you actually need to understand?
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Jared Lander @jaredlander.com · 01/09/2026
We are looking to hire for DevSecOps at @landeranalytics.com. Apply at www.landeranalytics.com/careers/juni...
landeranalytics.com
Junior DevSecOps | Lander Analytics
Explore careers at Lander Analytics, including open roles in data engineering, DevSecOps, data science and more. View current opportunities and apply.
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Reposted by Jared Lander
Lander Analytics @landeranalytics.com · 18/08/2026
What happens when you change the rules for scoring a competition? Gus Lipkin ran the numbers on competitive bouldering's new scoring system, comparing recent results with the old rules. Most results don't move much but sometimes the differences can be very significant. Read here: bit.ly/3SiaxdZ
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Analyzing Competitive Bouldering’s New Scoring System
How the point-based rules change rankings and what they reward
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Jared Lander @jaredlander.com · 11/08/2026
Come work with us!
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Jared Lander @jaredlander.com · 04/08/2026
Looking at what has changed in terms of economics and #datascience since I last analyzed the #pizza principle
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Jared Lander @jaredlander.com · 31/07/2026
Working with text data is completely different from even just a few years ago #databs
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Reposted by Jared Lander
Lander Analytics @landeranalytics.com · 24/06/2026
From thousands of sensor readings to a ranked shortlist. We use ML + pattern matching to identify sites that match key subsurface patterns, turning manual review into a scalable process. 📽️ Watch: youtu.be/saj-VYWvnEw #MachineLearning #Geospatial #DataBS
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Jared Lander @jaredlander.com · 23/06/2026
I've always loved @duckdb.org but this makes it even better #databs
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Reposted by Jared Lander
Lander Analytics @landeranalytics.com · 16/06/2026
Everyone wants an AI assistant. Few want company data leaving their network. This walkthrough shows how to build private, self-hosted AI assistant with Hermes, Ollama and DGX Spark—complete with scoped access, audit trails, and persistent memory. bit.ly/4fUEzOF #AI #LLM #AgenticAI #OpenSourceAI
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DGX Spark Series (Part 4): Setting up the Hermes Agentic Assistant
Everyone wants an AI assistant. Here's how to build one that keeps your data where it belongs.
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Reposted by Jared Lander
Lander Analytics @landeranalytics.com · 12/06/2026
The Knicks were given just a 0.4% chance to win Game 4. The Patriots fell to 0.2% during Super Bowl LI. Which comeback was actually more improbable? A look at win probability models, uncertainty, and why "almost impossible" isn't the same as impossible. bit.ly/4ekV43S #SportsAnalytics #NBA #NFL
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What Was More Improbable: The Knicks’ Game 4 Comeback or the Patriots’ Super Bowl LI Rally from a 28-3 Deficit?
Using ESPN win probability models, the answer is surprisingly close, and probably closer than the exact decimals suggest.
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Reposted by Jared Lander
Lander Analytics @landeranalytics.com · 09/06/2026
Do you need enterprise AI infrastructure for a 120M-parameter model? Maybe not-but the answer is more interesting than you'd think. We break down why Chronos-2, DGX Spark, and a simple FastAPI deployment turned out to be the right combination. bit.ly/4eh0FbC #AI #TimeSeries #Forecasting #DGXSpark
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DGX Spark Series (Part 3): When the Wrong-Sized GPU Is the Right Call
What we learned serving Chronos-2 from an R-friendly forecasting pipeline
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Reposted by Jared Lander
Lander Analytics @landeranalytics.com · 05/06/2026
At the New York Open Statistical Programming Meetup on Tuesday, June 16, John Myles White will be there to talk about Genealogy and LLMs! 📍 In-Person at NYU & Virtual | 7 PM (ET) 🙋‍♀️ More info & RSVP: nyhackr.org #LLMs #DataBS
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Reposted by Jared Lander
Lander Analytics @landeranalytics.com · 03/06/2026
Use AI coding assistants freely for coding tasks. Use them carefully for analytical ones. In this clip, Jared explains why generated R code still needs statistical judgment, domain knowledge and review discipline before it belongs in a real analysis workflow. Full video here: youtu.be/4csH2-Yf2FQ
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Reposted by Jared Lander
Lander Analytics @landeranalytics.com · 20/05/2026
The hard part of internal apps usually starts after the prototype works. How do you host it securely? How do users authenticate? How does it scale as more people use it? Jared walks through how Docker, Kubernetes and secure hosting help answer those questions. Full video: youtu.be/7EFYi-aFpdI
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The Lander Lens: Fast, Secure & Scalable Internal Apps (Part 2)
YouTube video by Lander Analytics
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Reposted by Jared Lander
Lander Analytics @landeranalytics.com · 19/05/2026
AI can build a working app surprisingly fast. That does not mean it is ready for production. In our latest blog post, Jared Lander breaks down where AI coding agents help, where they fall short and why human judgment still matters in software engineering. bit.ly/3PQn0V5 #AI #Engineering #LLMs
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Vibe Coding Gets You to a Working Demo, But Engineering Is What Makes It Hold Up
AI coding agents are becoming useful interns, but teams still need judgment, taste, infrastructure and review before the code is something they can actually run.
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Reposted by Jared Lander
Lander Analytics @landeranalytics.com · 14/05/2026
TONIGHT is the May New York Open Statistical Programming Meetup! Christian Martinez dives into NYC Open Data. Make sure to RSVP by 3 PM (ET)! 📆 Thursday, May 14 | 7 PM (ET) 📍 In-person at NYU & Virtual 🙋‍♀️ More info & RSVP: nyhackr.org #NYCOpenData #DataBS
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Reposted by Jared Lander
Lander Analytics @landeranalytics.com · 12/05/2026
Your coding agents probably don’t need RAG yet. At Lander Analytics, we connected 16+ repos using shared markdown files, grep, and zero new infrastructure to give agents cross-repo context that actually stays current. bit.ly/42ulRFy #AI #LLM #CodingAgents
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You Probably Don’t Need RAG for Your Agent’s Knowledge Base
We connected 16 repos with markdown files, grep, and zero new infrastructure
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Jared Lander @jaredlander.com · 05/05/2026
Traditional #machinelearning is still a great tool #databs
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Reposted by Jared Lander
Lander Analytics @landeranalytics.com · 29/04/2026
From raw customer behavior to real-time churn risk. See how predictive models and dashboards help teams spot risk early and take action before customers leave. Watch the video: youtu.be/D8xbXS0rsI0 #PredictiveAnalytics #CustomerChurn #MachineLearning #DataBS
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Reposted by Jared Lander
Lander Analytics @landeranalytics.com · 28/04/2026
LLM tool calling began as a workaround for stale data and evolved into the backbone of agentic AI. We walk through the mechanics, the evolution from XML to native APIs, and why this simple idea unlocked powerful workflows. Read more: www.landeranalytics.com/post/the-ana... #AI #LLMs #AgenticAI
landeranalytics.com
The Anatomy of an LLM Tool Call
How a prompt engineering trick unlocked agentic AI
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Jared Lander @jaredlander.com · 21/04/2026
Good memories working with Mike Band on the Vikings draft
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Jared Lander @jaredlander.com · 14/04/2026
A better cron
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Jared Lander @jaredlander.com · 07/04/2026
Check out how we power through large geospatial data
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Jared Lander @jaredlander.com · 31/03/2026
We're using LLMs to do more with more
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Jared Lander @jaredlander.com · 18/03/2026
Loving the #geospatial #databs
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Jared Lander @jaredlander.com · 03/03/2026
Some thoughts about open source vs closed models from Joe Marlo in the age of #GenAI
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Jared Lander @jaredlander.com · 24/02/2026
Some first thoughts on using @anthropic.com's Claude Code with #rstats
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Jared Lander @jaredlander.com · 20/02/2026
My favorite kind of data science is geospatial
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Jared Lander @jaredlander.com · 18/02/2026
So much more than just code
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Jared Lander @jaredlander.com · 12/02/2026
Part 2 of setting up the Dell DGX Spark, now with Claude Code. Or check out the more personal version at www.jaredlander.com/2026/02/conf...
jaredlander.com
Configuring the DGX Spark with Ansible
After the relatively easy process of setting up the DGX Spark (ok, the Dell, but for ease of reference I’m just calling it a DGX Spark) it was time to configure the software side. A lot comes preins
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Jared Lander @jaredlander.com · 10/02/2026
The Dell version of the DGX Spark has been a fun device to play with. Check out the initial setup at the link below or find my more casual review at www.jaredlander.com/2026/02/sett...
jaredlander.com
Setting up the DGX Spark
We recently got the Dell Pro Max GB10, which is Dell's version of the Nvidia DGX Spark (yes, we are official Nvidia partners, so come talk to us about setting up a full on Nvidia setup) mini super com
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Jared Lander @jaredlander.com · 05/02/2026
See how Mike Band, with his long history of combining football and analytics, uses LLMs to breakdown the game between the Patriots and Seahawks.
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Jared Lander @jaredlander.com · 03/02/2026
See the latest piece from @landeranalytics.com team member Joe Marlo
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Reposted by Jared Lander
Lander Analytics @landeranalytics.com · 28/01/2026
Apps crashing under load? Servers failing? We use Kubernetes to keep your systems resilient, self-healing clusters, automated scaling, and rolling updates ensure high availability and uninterrupted performance. 📽️ Watch here: youtu.be/Cf_vX-0Qrlc #Kubernetes #CloudComputing #DevOps #databs
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Reposted by Jared Lander
Lander Analytics @landeranalytics.com · 23/01/2026
Tuesday night (1/27) at the New York Open Statistical Programming Meetup, Bill Gold will share how he vibe coded his recreational schedule. Don’t miss it! 📍 In-person at NYU & virtual | 7 PM ET 🙋 More info & RSVP: nyhackr.org #DataBS #VibeCoding
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Reposted by Jared Lander
Lander Analytics @landeranalytics.com · 27/01/2026
AI isn’t an arms race for most organizations. This post explains how small and mid-sized teams create real value with AI by focusing on workflows, context, and domain expertise, not massive budgets or moonshots. 🔗: bit.ly/49YekBY #AI #DataScience #SMB #databs
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Can Small and Medium-Sized Organizations Compete in AI?
How nimble teams create real value with the resources they already have
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Jared Lander @jaredlander.com · 21/01/2026
The @landeranalytics.com blog is back. We'll be writing about what happens when AI meets real systems: legacy stacks, production constraints and practical tradeoffs that don’t show up in demos. landeranalytics.com/post/welcome-back-to-the-lander-analytics-blog #DataScience #AI #Analytics #databs
landeranalytics.com
Welcome back to the Lander Analytics Blog
A place where data-driven exploration meets practical LLM solutions
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Jared Lander @jaredlander.com · 21/01/2026
The Lander Analytics blog is live again. We will be sharing what we’re learning as we modernize analytics stacks, deploy models and integrate LLMs into real workflows, alongside the legacy systems most organizations still run on. landeranalytics.com/post/welcome-back-to-the-lander-analytics-blog
landeranalytics.com
Welcome back to the Lander Analytics Blog
A place where data-driven exploration meets practical LLM solutions
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Reposted by Jared Lander
Lander Analytics @landeranalytics.com · 08/01/2026
At the New York Open Statistical Programming Meetup on Tuesday, January 27, Bill Gold will talk about how he vibe coded his recreational schedule. 📍 In-Person at NYU & Virtual | 7 PM (ET) 🙋‍♀️ More info & RSVP: nyhackr.org #databs
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Jared Lander @jaredlander.com · 01/12/2025
Looking to get people's experience running #rstats on a snapdragon (ARM) processor with Windows. Good, bad, ugly, excellent?
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Reposted by Jared Lander
Lander Analytics @landeranalytics.com · 25/11/2025
Built a great Shiny app but struggling to share it? We help teams deploy, secure & scale Shiny using Docker, Kubernetes, and full infrastructure support. Your app becomes a fast, reliable web tool accessible across your org—no crashes, no headaches. 📽️ Watch: youtu.be/Tp5eCo0vnLI #Shiny #databs
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The Data Science & AI Conference Presented by Lander Analytics @dataconf.ai · 14/10/2025
Here’s a clip from Ally Blake at NFL showing how simulated games can generate new data and evaluate how potential rule changes might affect gameplay. See the full conference talk here: youtu.be/SpjFVoaFg_4 #SportsAnalytics #Simulation #databs
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Reposted by Jared Lander
Lander Analytics @landeranalytics.com · 07/10/2025
Imagine asking your building: “What’s next Friday’s occupancy?” and getting the answer instantly. AEDify’s chatbot makes it real, fast insights, no guesswork, lower costs. 📽️ See how it works: bit.ly/AEDIFYCBTLL #AI #DataScience #CRE #SmartBuildings
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Reposted by Jared Lander
Lander Analytics @landeranalytics.com · 10/09/2025
At the New York Open Statistical Programming Meetup on Wed, Sept 17, Frank Kovacs will talk about Model Context Protocol, showing how MCP integrates data sources to enable more agentic AI. 📍 In-Person at NYU & Virtual | 7 PM (ET) 🙋‍♀️ More info & RSVP: nyhackr.org #databs @statkovacs.bsky.social
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Jared Lander @jaredlander.com · 10/09/2025
Was helping a client today with a 500 million row dataset. It took about 42 GB as a CSV & 7 GB as a parquet file. We needed a count of rows per ID. We tried Arrow but gave up after staring at the console for a few minutes. Switched to @duckdb.org & got an answer in less than a second.
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The Data Science & AI Conference Presented by Lander Analytics @dataconf.ai · 26/08/2025
📊 From LLM evaluations to vibe coding! Bill Gold (Citizens Bank) showed how to turn GenAI hype into measurable value with smarter evaluation. Then our very own Jared Lander (@landeranalytics.com) revealed lessons from coding with AI on complex projects. #AI #DataScience #dataBS #dataconfAI #LLMs
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