About Ryan Hartman

Who am I?

In my 9-5, I am a Data Scientist at Meta, passionate about leveraging data and technology to solve problems.

I am a firm believer in leaving this world better than I found it. The driving question in my professional career has always been: "How can the work I do impact as many people as possible in a positive way?" This has led me to work in some amazing places with some amazing people. See more about my past experience.

This driving question is also reflected in the company I run outside of my 9-5. LOOT was founded with a singular purpose: To make the human experience a little bit better. That mission has resulted in the launch of multiple products so far - each focused on helping people live healthier, happier, easier lives.

You can check out our flagship products LOOT & Waves on the iOS app store now!

I aim to use this site as an introduction to my background and experiences, and as a place to share my thoughts and ideas.

Caveat: The opinions published here are solely my own and do not reflect the opinions of my employers.

Background

With a strong foundation in data science, software engineering, and psychology, I bring a unique perspective to my work. My expertise includes:

• Machine learning and statistical analysis
• Data visualization and storytelling
• Product analytics and experimentation
• Systems thinking & system design

I have built production-grade machine learning models, studied the effects of dozens of factors on medication adherence in at-risk communities, designed & deployed dashboards utilized by thousands of people, and done a lot of cool technical and non-technical work in between. My posts are the synthesis of my experience and the information I have gathered - I hope you enjoy reading them as much as I enjoyed writing them.

Philosophy

I believe in the power of information to transform businesses and improve lives. I have witnessed first-hand the difference that the right information in the right hands can make. My approach combines technical rigor with creative problem-solving, always keeping the people behind the numbers in mind.

Beyond Work

When I'm not working with data, you might find me:

• Exploring new technologies (I am currently obsessed with understanding multi-modal llms)
• Catching a Dallas Cowboys game (Yes I know they are bad)
• Enjoying a meal, drink, and conversation with my friends
• Experiencing the outdoors with my dog, Murphy, and my girlfriend

Skills

• Favorite Programming Languages: Python, R, SQL, JavaScript/TypeScript
• Favorite Frameworks: TensorFlow/Keras, PyTorch, React, Next.js
• Favorite General Tools: Claude Sonnet, Windsurf, OpenAI's image gen
• Tools I have used in the past:
  • Predictive Analytics – Python (statsmodels, SciKit Learn, Keras, XGBoost, LightGBM, PyTorch, LLM implementations)
  • Big Data & Cloud Computing – PySpark/Apache Spark, SQL (PostgreSQL, MS SQL Server, Hive SQL, Presto, SparkSQL, SQLite), AWS Redshift
  • Visualization - Python (matplotlib, plotly, seaborn), AWS Quicksight, Tableau
  • Miscellaneous Tools - Docker, Git, Jupyter, Flutter/Dart, Vercel, Cursor, Windsurf

Feel free to contact me if you'd like to connect or discuss potential collaborations!