Lander Analytics

Anomaly detection is just forecasting in disguise. The hard part isn't flagging unusual values. It's avoiding alert fatigue, catching data problems, and giving people enough context to decide what actually matters. Jared Lander talks about it in our latest post: bit.ly/4ei1f9K

TONIGHT (10/19) is our meetup!🙌 Noam Ross will be talking about Grant Witness: An R-Powered Research and Advocacy Enterprise. 🎟️RSVP ➡ nyhackr.org (RSVP for in-person by 3pm, in-person space is limited) See you there!

🙋‍♀️ Have you RSVP'd for our meetup next week? Join us on Monday, October 19, in-person or virtually to hear Noam Ross giving a talk Grant Witness: An R-Powered Research and Advocacy Enterprise! RSVP & info➡️ nyhackr.org 👏Thanks to @NYU_PRIISM for hosting!

What happens when Kestra fans out parallel tasks into a DuckDB database that can handle concurrent writes? We built a small demo using Kestra + DuckDB’s Quack protocol. Read full post for a practical look at how the two can work together for lightweight, flexible data workflows: bit.ly/4hGWf0J

👏Our next meetup is on Monday, October 19 with Noam Ross, who will be giving the talk Grant Witness: An R-Powered Research and Advocacy Enterprise. 📍In-Person at NYU & Virtually Online at 7 PM (ET) 🙋‍♀️RSVP now ➡️ nyhackr.org Thanks @NYU_PRIISM for hosting!

September meetup with Mirian Lima titled Package Your Judgment, Keep Your Intent is now available to view. Enjoy! nyhackr.org/past-talks

📢 Don't forget about our meetup on MONDAY (9/28)! Mirian Lima will be joining us to give a talk Package Your Judgment, Keep Your Intent! There is still time to RSVP➡️ nyhackr.org Thanks to @NYU_PRIISM for hosting!

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

🙋‍♀️ Have you RSVP'd for our meetup next week? Join us on Monday, September 28, in-person or virtually to hear Mirian Lima giving a talk Package Your Judgment, Keep Your Intent! RSVP & info➡️ nyhackr.org 👏Thanks to @NYU_PRIISM for hosting!

Your development platform should make it easier to build software, not create more work. We build standardized, agentic SDLCs with CI/CD, testing, code review, documentation, security scanning, dependency tracking and agent skills built in. See what we can build for your org: bit.ly/46eli4w

At the New York Open Statistical Programming Meetup on Monday, September 28, Mirian Lima will be giving the talk Package Your Judgment, Keep Your Intent. 📍 In-Person at NYU & Virtual | 7 PM (ET) 🙋‍♀️ More info & RSVP: nyhackr.org

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

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

TONIGHT (8/11) is our meetup!🙌 Eric Leung will be talking about Data exploration of Pixar films: Which one is the best? 🎟️RSVP ➡ nyhackr.org (RSVP for in-person by 3pm, in-person space is limited) See you there!

We're hiring engineers to build and run hundreds of production pipelines on a federal data platform. • Data Engineer • Junior Data Engineer • Junior DevSecOps See the roles and apply today: landeranalytics.com/careers

📢 Don't forget about our meetup TOMORROW (Tuesday, 8/11)! Eric Leung will be joining us to talk about Data exploration of Pixar films: Which one is the best? There is still time to RSVP➡️ nyhackr.org Thanks to @NYU_PRIISM for hosting!

Not every problem has a fixed path. Agentic workflows use AI to reason, explore, and adapt, combining models, tools, and data to make smarter decisions as new information emerges. 📽️ Watch: youtu.be/ZdEl7Pg5j2o #AI #AgenticAI #DataBS

At the New York Open Statistical Programming Meetup on Tuesday, August 11, Eric Leung will be there to talk about Data exploration of Pixar films: Which one is the best? 📍 In-Person at NYU & Virtual | 7 PM (ET) 🙋‍♀️ More info & RSVP: nyhackr.org

Twelve years after his original Pizza Principle analysis, Jared Lander revisited the data. This time, AI agents helped with the research and coding. The result? A plain NYC slice now costs about 19% more than a subway ride. Read here: bit.ly/4hMmkeW #DataScience #AI #Statistics

👏Our next meetup is on Tuesday, August 11 with Eric Leung, who will be talking about Data exploration of Pixar films: Which one is the best? 📍In-Person at NYU & Virtually Online at 7 PM (ET) 🙋‍♀️RSVP now ➡️ nyhackr.org

Jared Lander joined Champion Speakers for a Q&A on applied AI. They covered how to start with real problems, set realistic expectations and know where human judgment still matters. Watch the conversation: www.youtube.com/watch?v=FhTH...

Jared Lander joined Champion Speakers for a Q&A on applied AI. They covered how to start with real problems, set realistic expectations and know where human judgment still matters. Watch the conversation: www.youtube.com/watch?v=FhTH...

Working with text data is completely different from even just a few years ago #databs

Most companies have valuable data hiding in comments, PDFs, reports, and spreadsheets. We show how embeddings can turn that unstructured text into something you can search, classify, and analyze using real examples across industries. Read here: bit.ly/4gWUnkl #AI #Embeddings

I love this community so much

What began as a 21-person R meetup has grown into one of NYC's longest-running open-source data communities. @jaredlander.com talks about the NY Open Statistical Programming Meetup, why community matters, and why we're still organizing it 15+ years later. Read here: bit.ly/4bUSdy9 #DataScience

Customer feedback is valuable but difficult to use at scale. We turn open-ended responses into structured insights using AI, embeddings, and vector search, surfacing themes, sentiment, and trends automatically. 📽️ Watch: youtu.be/JlWvF-TicIM #CustomerInsights #AI #DataBS

July's meetup with Derek Sollberger about Typst for Efficient Typesetting is now available to view. Enjoy! 📽️ Video & Slides ➡️ nyhackr.org/past-talks

Check out how we use tools like rpeat and @kestra.io to orchestrate and schedule our automated workflows #databs

Cron works great—until your pipeline has branches, loops, retries, subflows, and event triggers. Latest post from Gus Lipkin talks about why we use Kestra to orchestrate complex data workflows while keeping R and Python focused on business logic. Read here: bit.ly/3TgmTn6 #Kestra #DataEngineering

How we are using @chainguard.dev to reduce security risks

Your Dockerfile may start with one line: FROM python:3.12 …but it also inherits hundreds of packages and potential vulnerabilities. Read why package managers, container images, and CI/CD pipelines all belong in your security model: bit.ly/4h0kAym #CyberSecurity #DevSecOps #Containers

At the New York Open Statistical Programming Meetup on Monday, July 13, Derek Sollberger will be there to talk about Typst for Efficient Typesetting! 📍 In-Person at NYU & Virtual | 7 PM (ET) 🙋‍♀️ More info & RSVP: nyhackr.org

The AI story this summer isn't just bigger models. It's model routing. Governance. Cost. Better benchmarks. And figuring out how agents fit into real workflows. Five AI trends we're watching (and why they matter): bit.ly/4uYTElT #AI #DataScience #MachineLearning #GenAI #Innovation

The AI story this summer isn't just bigger models. It's model routing. Governance. Cost. Better benchmarks. And figuring out how agents fit into real workflows. Five AI trends we're watching (and why they matter): bit.ly/4uYTElT #AI #DataScience #MachineLearning #GenAI #Innovation

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

If you've ever hit DuckDB's single-writer limitation, you'll appreciate this. Gus Lipkin takes a look at Quack, DuckDB's new client-server protocol, and why it may finally eliminate the awkward dance of partitioned files, write queues and premature Postgres migrations. bit.ly/4vx8uBi #DuckDB

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

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

📢 Don't forget about our meetup TOMORROW (Tuesday, 6/16)! John Myles White will be joining us to talk about Genealogy and LLMs! There is still time to RSVP➡️ nyhackr.org Thanks to @NYU_PRIISM for hosting! #LLMs

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

AI coding assistants work best with the right setup: clear conventions, current documentation, and careful review. They speed up coding but discipline keeps things reliable. 📽️ Watch: youtu.be/4csH2-Yf2FQ #RStats #AI #DataBS

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

Next week is the June New York Open Statistical Programming Meetup! John Myles White dives into Genealogy and LLMs! 📆 Tuesday, June 16 | 7 PM (ET) 📍 In-person at NYU & Virtual 🙋‍♀️ More info & RSVP: nyhackr.org #LLMs #DataBS

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

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

Your Zero Trust strategy verifies users, devices and access paths-but what about the code teams install every day? Learn how typosquatting, compromised packages and dependency drift create software supply chain risk-and how governed package management helps. bit.ly/3QeY4qz #CyberSecurity #RStats

Your Zero Trust strategy verifies users, devices and access paths-but what about the code teams install every day? Learn how typosquatting, compromised packages and dependency drift create software supply chain risk-and how governed package management helps. bit.ly/3QeY4qz #CyberSecurity #RStats

You can build a computer in Minecraft, so let's do #rstats too

Building a computer in R was probably not what the creators of R had in mind - which is exactly why this post is so fun. Gus Lipkin creates a tiny CPU in R using R6, registers, and assembly-style instructions. bit.ly/4nU134a #RProgramming #SoftwareEngineering #rstats