I'm a Data Analyst @ Paciente 360, a virtual platform for interactive clinical case discussions using standardized patients. I specialize in transforming complex data into strategic intelligence to elevate medical education and improve the learning experience.
Here is a little bit about me:
- 🔭 I’m currently working on: Extracting and structuring datasets in PostgreSQL (using DBeaver) and applying advanced Data Wrangling/EDA with Python to analyze user engagement, platform performance, and educational outcomes.
- 🌱 I’m currently learning: Deepening my Applied Data Science skills, specifically implementing Machine Learning models (Scikit-learn) for predictive analytics in the EdTech/HealthTech space.
- 👯 I’m looking to collaborate on: Data-driven educational projects, predictive modeling, and open-source analytics tools.
- 💬 Ask me about: Python, advanced SQL, translating technical metrics into business/educational recommendations, and creating impactful dashboards with BI tools like Metabase and Looker.
- 📫 How to reach me: [email protected] or connect with me on LinkedIn.
- 😄 Pronouns: He/Him.
- ⚡ Fun fact: I run a complete, native Linux development environment (WSL/Ubuntu) right inside my Windows machine just to make my data analysis faster!
- Languages: Python, SQL
- Databases: PostgreSQL, DBeaver
- BI & Visualization: Metabase, Looker
- Advanced Analytics: Machine Learning, Scikit-learn, Predictive Analytics
- Productivity: Advanced Excel, MS Office Suite