Private 1-on-1 Coaching
We Don't Just Teach You.
We Build With You.
Private data science coaching from a PhD statistician and former MLB research executive. We treat every engagement like a research sprint: scoped projects, weekly builds, code review, and a portfolio that proves you can do the work.
Who's Teaching You
Not a TA. Not a Generalist Tutor.
A Research Executive Who Builds.
From 2018 to 2025, Michael held senior R&D roles across three MLB organizations: Philadelphia Phillies (Lead Quantitative Analyst), Detroit Tigers (Principal Quantitative Analyst), and Miami Marlins (Special Assistant, R&D). He built probabilistic forecasting systems for player performance, injury risk, and long-term value, and prototyped interactive tools that coaches, scouts, and executives actually used.
As Founder of AthlyticZ, he built a global data science platform training students and professionals from 15+ countries. He leads product, engineering, and content strategy, and co-designed the LMS architecture powering cloud-based coding environments in the browser.
The Weekly Loop
Every Week You Ship Something
Not "review the notes." Not "finish the reading." You build, get reviewed, and tag a release. Every single week.
Learn
Work through course modules on the LMS. Video, code exercises, quizzes, cloud IDE. At your pace.
Build
Turn lessons into scoped tasks in your repo. A model, a pipeline, a UI component. We keep scope realistic.
Review
Post progress in Slack. Get inline PR feedback on GitHub. We enforce reproducibility, naming, and structure.
Ship
Tag a release. Update the README. Record a short demo. Every sprint produces a portfolio artifact.
Who We Work With
Advanced High School Through Industry PhDs
Every engagement is scoped to where you are and where you want to go. These are real examples of the range of students we coach.
Build a Portfolio Before You Apply
Ambitious students who want to stand out in college admissions. We teach R or Python from scratch, build real projects, deploy a Shiny app, and set up a GitHub portfolio. You leave with proof of work that no other applicant has.
Go From Coursework to Job-Ready
MS and PhD students who can run a regression but can't deploy a model. Career changers who need to build a technical portfolio fast. We fill the gap between academic stats and production data science: Git, Shiny, Stan, Docker, CI/CD.
Level Up on Specific Technical Skills
Working analysts and data scientists who need to go deeper. Bayesian modeling in Stan for a rugby league client. Production Shiny app architecture. LLM integration workflows. We scope a project around your actual work and build it together.
Your Accountability System
Slack. Notion. GitHub. Not Just Zoom Calls.
The infrastructure around the coaching is what makes it work. You're not just meeting once a week and hoping for the best.
Private Slack Channel
Async code review, quick design decisions, debugging help, and nudges toward reproducible habits. You're never waiting until the next session to get unblocked.
Notion Sprint Board
Weekly sprints that tie course modules to project work. Clear status, due dates, and deliverables. You learn professional project management alongside data science.
GitHub PRs & Code Review
Every build goes through structured PR review. Tests, naming, structure, reproducibility. Tagged releases and clean READMEs. Your Git history becomes your resume.
Tracks
Choose a Track. We Layer Coaching on Top.
Pick the track that matches your goals. We pair it with AthlyticZ course access, live sessions, and project work scoped to your level.
Bayesian Predictive Modeling in Stan
Hierarchical models, priors, MCMC diagnostics, player projections, and production model pipelines.
Shiny App Development
From first app to production deployment. Modules, reactivity, testing, CI/CD, Posit Connect, and mobile builds.
Machine Learning in R and Python
Supervised and unsupervised methods. Feature engineering, cross-validation, model selection, and deployment.
AI and LLM Workflows with Claude Code
Rapid app prototyping, agentic coding, document intelligence, and practical AI integration.
Data Science Jumpstart in R or Python
For beginners. Tidyverse or Pandas, data wrangling, visualization, communication, and your first portfolio project.
Custom Track
Have something specific in mind? We scope a custom engagement around your project, your data, and your goals.
What You Get
Everything Included in Every Engagement
Pricing & Availability
Scoped to Your Engagement
Every student is different. Pricing is based on engagement length, track, and scope. We discuss everything on the fit call.
Custom-Scoped Engagements
Typically 10-20 weeks. Pricing discussed on the fit call.
Book a Fit Call
Under our new partnership with Posit, we're scaling the 1-on-1 coaching program this summer. We plan to bring on 4-5 of our instructors from our network of PhD-level practitioners and open-source experts to offer more coaching slots. Same sprint model, same infrastructure, same standards. More availability.
Common Questions
Frequently Asked Questions
Tell Us Where You Are and Where You Want to Go.
15-minute fit call. We'll recommend a track, outline milestones, and show you examples of projects that got interviews.