Projects | Ana's website

Data/Machine Learning

Here are some projects that I have done while learning to explore data and do predictions with ML models in Python. They are all jupyter notebooks and can be found in this github repository.

• 🐟 (Apr. 2023) interactive image segmentation: testing SAM vs. RITM on photos of fish.
• 🦮 (Mar. 2023) image classification Classification of photos of dogs by breed using transfer learning with VGG16 and EfficientNet.
• 👥 (Mar. 2023) stackoverflow tag suggestion using NLP models.
• 🛒 (Jan. 2023) Olist client segmenation: clustering algorithms.
• 🏭 (Nov. 2022) SeattleEnergyBenchmarking: exploration of data from 2016 and prediction of energy use for non-residential buildings.
• 🍳 (Oct. 2022) Exploration of the OpenFoodFacts database.

Mathematics

During (2018 - 2021) my PhD I studied bijections relating combinatorial objects, such as integer partitions, which are themselves (fascinatingly) related to the representation theory of the (legendary) symmetric group.

📖 The manuscript of my PhD thesis can be found here. A github repository with a list of GAP 3 functions used in this work can be found in this link

Publications:
• Unitriangular basic sets for blocks of the symmetric and alternating groups of small weights
• On Self-Mullineux and Self-Conjugate Partitions