Hi! My name is Mikael and I’m a data scientist passionate about transforming data into actionable insights. I specialize in building robust data pipelines and conducting complex analyses using R,SQL, and Python. Currently, I’m analyzing surgical outcomes at Memorial Sloan Kettering Cancer Center, where I apply my expertise to improve healthcare analytics. My educational background includes a Bachelor’s in Computer Science and a Master’s in Data Science, providing me with a strong foundation in both the theoretical and practical aspects of data science.
My Projects!
kaggle mcp server
- What: An MCP server to connect to Kaggle in an IDE like Cursor
- How:
Python: {fastmcp, kaggle api}
re-connect AI
- What: ReConnect AI - Alcohol Recovery Community Platform
- How:
Frontend: {React, Typescript}, Backend: {Express.js, PostgreSQL, Supabase}, AI: {Gemini AI}
prolytix
- What: PRO (Patient-Reported Outcomes) AI analytics Platform
- How:
Frontend: {React, Typescript}, Backend: {Express.js, PostgreSQL, Supabase}, AI: {Gemini AI}
nyctrains
- What: MTA API Python Package
- How:
Fast API
{lubrilog} 
- What: An R package that provides insights on ‘lubridate’ operations.
- How:
R