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. But that does not define who I am. After serious introspection following the sudden passing of my best friend, I realized that more than 90% of everything I have created or worked on has been purely for the benefit of organizations.

Most of my ideas, opinions, and beliefs have been locked away - simplified into bullet points on a resume or cast aside in a long-forgotten google doc. I aim to remedy this imbalance by creating and sharing more of them in the public sphere, while still exceling in my professional responsibilities.

While much of the work I do is the property of my employer, I aim to use this site to share those ideas, opinions, and beliefs which are wholly mine alone. In other words, the posts on this site are outside of my Data Science role at Meta and have no affiliation with past or present 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 socioeconomic factors on medication adherence in at-risk communities, designed & deployed dashboards utilized by thousands of people, and done a lot of grunt 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 person behind the number in mind.

Beyond Work

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

• Exploring new technologies (currently working through "LLM from Scratch")
• Catching a Dallas Cowboys game (Yes I know they are bad)
• Out, or on the phone, with my close friends
• Enjoying the outdoors with my dog Murphy

Skills

• Favorite Programming Languages: Python, R, SQL, JavaScript/TypeScript
• Favorite Frameworks: TensorFlow/Keras, PyTorch, React, Next.js
• 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

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