iiinova — where your digital self keeps evolving

Athlyticz @athlyticz.bsky.social · 27/07/2026

New week, new live sessions: Tue 28 July, Joseph Barbier on building reusable Python packages (11:00 EDT / 17:00 CEST) Thu 30 July, Saiprasad Kagne on deploying Python sports apps with Streamlit (09:00 EDT / 15:00 CEST) Free sessions available! Send us a DM and we'll send you the details 🗓️.

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Athlyticz @athlyticz.bsky.social · 17/07/2026

This is what a replay looks like on AthlyticZ 🎥. Chris Fonnesbeck’s masterclass on Bayesian modeling with PyMC, summary, materials, and the full session, available 30 days for members. Missed him live? He’s back Wed 12 Aug for MCMC, 17:00 EDT / 23:00 CEST!

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Athlyticz @athlyticz.bsky.social · 15/07/2026

Tired of rebuilding the same report by hand? 🤔 @albertrapp.bsky.social’s live workshop Typst for Data Science turns your data into a scripted, self-updating PDF report in one day! Fri 24 July, 09:00 EDT / 15:00 CEST. $399, open to all, members save 20%. 👉🏻 athlyticz.com/workshops/ty...

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Athlyticz @athlyticz.bsky.social · 08/07/2026

Next week is busy! 3 live masterclasses for members 😎: Mon 13 July, Chris on Bayesian modeling with PyMC (11:00 EDT / 17:00 CEST) Wed 15 July, Charlotte on interactive data viz in R (11:00 EDT / 17:00 CEST) Fri 17 July, Amrit on EDA with AI in R (13:30 EDT / 19:30 CEST) athlyticz.com/masterclass

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Athlyticz @athlyticz.bsky.social · 02/07/2026

Session two of July comes from @veerle.hypebright.nl, the person who built the AthlyticZ schedule and kept our instructors happy and organized ✨. Kick Off with Shiny for Python: 75 min, live World Cup 2026 results, hands-on PyShiny ⚽. Completely free. Fri 3 July, 08:30 EDT. athlyticz.com/launch

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Athlyticz @athlyticz.bsky.social · 30/06/2026

Our first live session is free and open to everyone! Michael Czahor (our founder) is opening the doors with Build a Live Scoreboard: a real-time tournament app you control from your phone, driving a big screen live. React, TypeScript, Firebase. 75 mins. No membership needed. athlyticz.com/launch

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Athlyticz @athlyticz.bsky.social · 24/06/2026

Charlotte Hadley (founder, Visible Data) is teaching Stop Making Boring Charts: Interactive Data Viz in R, a tour of what htmlwidgets can do for your R plots. Live Wed 15 July, 11:00 EDT (17:00 CEST). One of 10+ live sessions every month included with membership 📊. athlyticz.com/membership

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Athlyticz @athlyticz.bsky.social · 22/06/2026

19 instructors. Every month 10+ live sessions. Bayesian modeling, LLMs in R, sports analytics, data viz, Python packaging, deployment, and a lot more. July, August and September are packed with awesome sessions! Full schedule at athlyticz.om 👀 athlyticz.com/membership

athlyticz.com

Learn Data Science Through Real Projects

Live training. Real cloud environments. Pro tools. Enterprise-grade virtual machines used by Fortune 500 data teams — now accessible to learners.

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Athlyticz @athlyticz.bsky.social · 18/06/2026

10+ live sessions this July: from Python package development to Data Science with Typst and Bayesian Modeling 👀. Masterclasses are for members (+ 30-day replay). Workshops are open to everyone, with 20% off for members 👉🏻https://athlyticz.com/masterclass

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Athlyticz @athlyticz.bsky.social · 17/06/2026

Chris Fonnesbeck, creator of PyMC, is teaching his first masterclass with us: A Beginner’s Guide to Bayesian Modeling with PyMC. Live Mon 13 July, 11:00 AM EDT (17:00 CEST). One of 10+ live sessions every month included with membership 🤩. @fonnesbeck.bsky.social athlyticz.com/membership

athlyticz.com

AthlyticZ Founding Membership · Live Data Science Training

AthlyticZ Founding Membership · Live Data Science Training · 120+ live masterclasses a year. 17 instructors from Columbia, Wharton, Apache Arrow. Posit Workbench included. Founding rate · 250 spots

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Athlyticz @athlyticz.bsky.social · 15/06/2026

Have an R script that works but isn’t pretty? Arkadi Avanesyan’s workshop Refactoring Legacy R with Claude Code helps you refactor it for production. 7 & 9 July, Q&A 14 July. Open to all, members save 20% 👀 athlyticz.com/workshops/ar...

athlyticz.com

Refactor Legacy R with Claude Code

Take your real R codebase and, with Claude Code as your pair programmer, refactor it for production in just two days.

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Athlyticz @athlyticz.bsky.social · 06/06/2026

We go live in a few weeks. The lineup is real, deep, and continuing to grow. See what’s coming 👉 athlyticz.com/masterclass

athlyticz.com

Data Science & AI Reimagined

Data Science & AI monthly Masterclass series featuring top instructors and practitioners from around the world

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Athlyticz @athlyticz.bsky.social · 06/06/2026

This isn’t something we threw together. 1000s of conversations with professors, industry folks, & practitioners went into it, because we saw this as something that had to be all-encompassing to be worth doing. Students, working professionals, academics, all tapping into the same high-signal material

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Athlyticz @athlyticz.bsky.social · 06/06/2026

And it runs on elite tooling. Every session is on Posit Workbench with an environment built for that exact class, so you’re not watching someone work, you’re doing the work yourself with zero setup, in the same caliber of environment a professional data team uses.

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Athlyticz @athlyticz.bsky.social · 06/06/2026

That’s AthlyticZ Masterclass. Think of it like a TV guide of end-to-end projects, taught live every month by people who are genuinely top of their field, industry practitioners and academics side by side.

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Athlyticz @athlyticz.bsky.social · 06/06/2026

We wanted to give people consistent access to that caliber of material, with the tooling built in, at a scale a once-a-year event can’t reach. Not to replace conferences. To extend what makes them great across the whole year.

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Athlyticz @athlyticz.bsky.social · 06/06/2026

The big AI and data science conferences are some of the best learning that exists. A few times each year where the top people in the field offer hands-on workshops, surrounded by others doing the work.

athlyticz.com

Data Science & AI Reimagined

Data Science & AI monthly Masterclass series featuring top instructors and practitioners from around the world

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Athlyticz @athlyticz.bsky.social · 26/05/2026

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Athlyticz @athlyticz.bsky.social · 26/05/2026

75 min · Live + Moderated Q&A. Posit Workbench included. - Understand the trade-offs between model tiers and providers - Design evaluations that test what matters for your application - Compare models fairly and interpret the results - Make data-driven model decisions instead of guessing

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Athlyticz @athlyticz.bsky.social · 26/05/2026

New masterclass: Choosing and Evaluating LLM Models, live with @niccrane.bsky.social With multiple models available - different providers, different tiers - how do you pick the right one? In this session, you’ll learn to navigate model options and measure what matters using the `vitals` package.

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Athlyticz @athlyticz.bsky.social · 16/03/2026

For the visual I grabbed open-source SVG state paths, wrote some custom animation code on top, and built a live counter that burns through all 9.2 quintillion brackets in real time. Happy March Madness! #MarchMadness #DataScience #SportsAnalytics

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Athlyticz @athlyticz.bsky.social · 16/03/2026

So no, you can't brute-force March Madness. You can't brute-force any prediction problem when the search space is this large. What you CAN do is be systematically less wrong across 63 decisions. That's the whole game.

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Athlyticz @athlyticz.bsky.social · 16/03/2026

And even then you'd just guarantee a perfect bracket exists somewhere in the pile. You still wouldn't know which one until the final buzzer. 9.2 quintillion is that big.

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Athlyticz @athlyticz.bsky.social · 16/03/2026

Take the entire U.S. population, 342.5 million. Every single person fills out brackets nonstop from Selection Sunday to tip-off. No sleep. Each person would need to complete ~82.9 MILLION unique brackets. Per second. For almost 4 days! That's 10x faster than a supercomputer.

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Athlyticz @athlyticz.bsky.social · 16/03/2026

🏀 9,223,372,036,854,775,808. That's how many possible March Madness brackets exist. 9.2 quintillion. Selection Sunday was yesterday. First Round of 64 tip-off: Thursday, 12:15 PM ET. That's 324,900 seconds to fill out your bracket. But what if we wanted to guarantee a perfect one?

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Athlyticz @athlyticz.bsky.social · 09/03/2026

Congrats to AthlyticZ student, Jared Markowitz on winning the MIT @sloansportsconf.bsky.social Hackathon (Open Division). Details on Jared's big win in the link below. A special congrats to his Hackathon partner Jonas Dixon as well! #ssac #SportsAnalytics www.linkedin.com/posts/jared-...

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Athlyticz @athlyticz.bsky.social · 09/03/2026

There's never been a better time to get your hands dirty. The tools are accessible. The data is out there. The only thing stopping most people is starting. Twenty years of Sloan. Still learning. Still building. #SSAC #RSTATS #PYTHON #SPORTSANALYTICS

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Athlyticz @athlyticz.bsky.social · 09/03/2026

And if you're teaching this stuff (at any level) I'll say what I always say: craft end-to-end projects that students actually care about. Not toy datasets. Not disconnected exercises. Real questions, real data, real outputs they can point to and say "I built that and I can tell you why it works."

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Athlyticz @athlyticz.bsky.social · 09/03/2026

Anyone can copy code now with AI. The analysts who get hired are the ones who can explain the decisions behind it, storytell with data, and interact with stakeholders.

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Athlyticz @athlyticz.bsky.social · 09/03/2026

Build a model. Build an app. Write about it. Teach it to someone. You never know who's paying attention. One thing you put out into the world, that's how opportunities find you. Careers in this space aren't built on credentials alone. They're built on proof that you can do the work.

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Athlyticz @athlyticz.bsky.social · 09/03/2026

What stuck with me most was meeting the students. Sharp. Curious. Already building things. The future of this field is in good hands. My message to them was simple: Build.

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Athlyticz @athlyticz.bsky.social · 09/03/2026

But the highlight for me? I was invited by the National High School Sports Analytics Association to run an interactive session on building sports analytics apps with AI. I had some big names to follow on that agenda, people I've looked up to in this space for years, and I don't take that lightly.

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Athlyticz @athlyticz.bsky.social · 09/03/2026

Talked shop with professors whose opinions our team takes seriously, making sure we're building with actual academic rigor, not just marketing it.

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Athlyticz @athlyticz.bsky.social · 09/03/2026

Finally met in person with some folks I've done consulting work for, always hits different when you can shake hands. Had real conversations about university partnerships and team collaborations that I'm genuinely excited about. Met with instructors who teach on our platform.

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Athlyticz @athlyticz.bsky.social · 09/03/2026

Headed up to Boston this weekend for the 20th MIT Sloan Sports Analytics Conference. Twenty years. Still one of the best weekends on the calendar. I caught up with friends and former colleagues scattered across teams and league offices.

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Athlyticz @athlyticz.bsky.social · 20/02/2026

We are so excited to have @veerle.hypebright.nl on board to help lead the way!

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Athlyticz @athlyticz.bsky.social · 18/02/2026

Appreciate the conversations with @christophsax.bsky.social and @davidgranjon.bsky.social to get this done. In the coming months, you’ll hear more about our vision for using blockr in sports, followed by workshop offerings directly from Cynkra on the Athlyticz platform. Onward. 🚀

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Athlyticz @athlyticz.bsky.social · 18/02/2026

A few things that caught our attention: ∙ Build data apps in minutes with drag-and-drop blocks ∙ Each block handles one step: reading, transforming, visualizing ∙ Fully extensible, if you can code, you can build custom blocks Read more about the project here: www.cynkra.com/blockr/

blockr.cloud

blockr Shiny Apps

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Athlyticz @athlyticz.bsky.social · 18/02/2026

Think of it as visual programming powered by R, accessible to analysts who want to wrangle data and build dashboards without writing scripts. It’s funded by @bms-news.bsky.social , battle-tested in pharma, and now coming to sports.

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Athlyticz @athlyticz.bsky.social · 18/02/2026

Cynkra will be leading workshops on blockr, their open-source framework for building data pipelines using a visual, point-and-click interface. No code required.

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Athlyticz @athlyticz.bsky.social · 18/02/2026

Excited to share that @cynkra.bsky.social has officially signed on as a Preferred Partner with Athlyticz. 🤝 What does this mean? Our goal is to bring the strongest teams and individuals to our students, people at the forefront of data science tools that we believe can be game-changers in sports.

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Athlyticz @athlyticz.bsky.social · 17/02/2026

More physics-constrained Bayesian models lead to another interactive mobile app with my students. Writeup coming soon

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Athlyticz @athlyticz.bsky.social · 16/02/2026

Why is AI so slow? Bottlenecks aren't compute; it's memory. towardsdatascience.com/the-stranges... TiDAR = 6x speedup. ⚡ Move from prompts to Infrastructure Eng. #AI #LLM #DataScience #Engineering #Athlyticz

towardsdatascience.com

The Strangest Bottleneck in Modern LLMs | Towards Data Science

Why insanely fast GPUs still can’t make LLMs feel instant

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Athlyticz @athlyticz.bsky.social · 14/02/2026

Can anyone guess what we are building for our students?! #data #datascience #sportsanalytics #rstats #python

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Athlyticz @athlyticz.bsky.social · 13/02/2026

For students & early-career analysts applying to front offices: the model is the core of the work, that's where the rigor lives. But what puts you over the top is showing you can translate that model into expert storytelling, especially in an interview when you're walking someone through your work.

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Athlyticz @athlyticz.bsky.social · 13/02/2026

This is also season-long and context-neutral, no L/R splits. A matchup-level application would be a different beast entirely (automated daily pipelines, game-day lineup optimization, etc.).

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Athlyticz @athlyticz.bsky.social · 13/02/2026

Projections here are from an actual Bayesian framework that's been jittered/shifted to mask the information (so don't look too far into the values, i.e,. Judge projected 60 HR). This is a tooling demo. In production it pulls from an internal model stored in a database.

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Athlyticz @athlyticz.bsky.social · 13/02/2026

It ranks players against their position, flags credible interval overlap, & frames the output the way a front office would: uncertainty bands, replacement value, and roster construction implications. The goal is consistent, repeatable reports that a decision-maker can trust, not a chatbot summary.

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Athlyticz @athlyticz.bsky.social · 13/02/2026

It computes positional averages from the dataset itself, classifies hitter archetypes from K%/BB%/ISO combinations (elite contact-and-discipline, boom-or-bust power, patient on-base-driven, etc.), and adjusts its analysis based on defensive position.

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