My background is Computer Engineering and Statistics, but lately machine learning and deep learning are where I spend most of my time. They go places classical statistics can't quite follow. I still have plenty to learn, and this is where I keep my projects.

🔹 Data analysis: Turning messy datasets into something that actually makes sense

🔹 Machine learning & deep learning: Building models that learn, and figuring out why they work

🔹 Algorithms: Designing them, breaking them, making them faster

Languages

Data & machine learning

Tools

🔸 TreeMapper — Individual tree segmentation in LiDAR point clouds using voxelization and the Mapper algorithm.

🔸 More projects in the oven — coming soon.