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An exploration of Markov Chains and RNNs (Recurrent Neural Networks), a comparison and analysis of which one outputs better results and how they both perform when predicting the lyrics of Bob Dylan (or Luis Alberto Spinetta in the Spanish version). Pulled lyrics from Genius API and guided myself with Spotify’s Web API.
Pulling data from my Spotify and Last.fm accounts using their APIs, I did some time series analysis to check which were my real stats and see if what Spotify told me in my Spotify Wrapped end-of-year summary was correct. Also did some interesting data visualization to help explain my insights.
An immersive analysis into Jorge Drexler’s universe through statistical exploration of his music and lyrics.
MusicMagal is a group recommendation system that recommends n music tracks to a group of m users taking all of the m users preferences into account. Used last.fm data, an alternating least squares model and item2vec embeddings. After computing and when the resulting playlist is output, we create a real playlist using Spotify Web API.
Working with Computer Vision algorithms from HuggingFace’s repositories to develop a recommendations pipeline using Visual Similarity. Python, K8S, Airflow, Celery, AWS
Main developer and owner of various internal products that helped data scientists automate their work, allowing them to deploy Machine Learning models in production at a large scale. Managed to improve the Data Science cycles speed in the company by 10x by orchestrating the training, deployment and ABtesting cycles through Airflow-based Python-coded tools. End to end responsibilities: backend and frontend development, Data Science research with field-aware factorization machines, MLops & product management.
Data Infra & ML Engineer: carried on projects on algorithms and data pipeline optimization from research all the way to production. Amazon Suite: Redshift, RDS, S3, SQS, Elasticsearch. Microsoft Azure. Python development.
An intense fellowship for CS or engineering graduates with at least two years of experience in the industry, to acquire advanced tech skills in Israel. Syllabus contains data science tools as machine learning, deep learning, and data visualization.
6 year program (equivalent to MSc & BSc). Oriented to production systems. My optional courses were mostly based on artificial intelligence and machine learning.