- 🔭 I'm Federico, an Economist with a strong passion for data analysis and AI. Currently, I'm pursuing a Master's in Big Data and working as the Head of Data Area at UniónCapital AFAP.
- 🔧 Although my professional journey began as an investment analyst, thanksfully, I discovered the fascinating world of data and AI.
- 🌱 In recent years, I've been diving deep into the world of Artificial Intelligence, focusing on Machine Learning and Deep Learning, as I completed a Diploma of Specialization in AI from Universidad ORT Uruguay.
- 🌱 I'm continuously learning and staying updated with the latest trends in AI, Big Data, and related fields.
- 📫 Feel free to reach out to me at fededemo@gmail.com for any discussions, collaborations, or queries related to data, AI, Deep Learning, or economics.
-
UniónCapital AFAP (Itaú)
- Montevideo, Uruguay
- @federicodeleonm
Highlights
- Pro
Block or Report
Block or report fededemo
Contact GitHub support about this user’s behavior. Learn more about reporting abuse.
Report abusePinned
-
data_augmentation_using_synthetic_images
data_augmentation_using_synthetic_images PublicJupyter Notebook
-
ObligatorioTallerDeepLearning
ObligatorioTallerDeepLearning PublicImplementación Generative Adversarial Networks (GANs) sobre MNIST, FashionMNIST y CIFAR10
Jupyter Notebook
-
ObligatorioTallerIA
ObligatorioTallerIA PublicResolver el juego Pong de Atari utilizando Deep Q Learning y Double Deep Q Learning, comparar los resultados y lograr que al menos uno de los algoritmos supere el puntaje 10 en un ambiente de OpenA…
Jupyter Notebook
-
ObligatorioMultiagentes
ObligatorioMultiagentes PublicLograr vencer a Pac-Man usando un ambiente de Berkley y las técnicas: MAXn, MCTS, MC y DQN
Jupyter Notebook
-
Obligatorio_MABD
Obligatorio_MABD PublicRealizar la implementación para el almacenamiento de un subsistema de Catalogo de Productos simulado para Tesla usando MongoDB.
HTML
-
ObligatorioDeepLearning
ObligatorioDeepLearning PublicClasificación de secuencias de logs de un HDFS en normales y anormales usando distintas técnicas y arquitecturas (LSTM, Batch Normalization, Data Augmentation, Gradient Clipping, etc)
Jupyter Notebook
If the problem persists, check the GitHub status page or contact support.