Projects
ACM RecSys Challenge 2023
Won the academic leaderboard in a global competition hosted by ACM and ShareChat (400M+ users). Designed ML pipelines to predict ad installs based on user impressions.
Stock Market Time Series Prediction
Forecasted Apple stock prices using LSTMs and CNNs over S&P 500 data. Grade: 10/10 with honors.
Massively Parallel ML Algorithms
Built a scalable logistic regression classifier and parallel K-Means implementation using Spark and Python. Grade: 9.4/10.
Recommender Systems Competition
Predicted user interaction with TV content. Ranked 2nd (public) and 3rd (private) out of 100+ teams at Politecnico di Milano.
Neural Networks & Deep Learning
Built BLSTM for multivariate time series classification and CNN-based leaf species classifier with transfer learning. Graded 5/5 for all tasks.
TUM – Siemens Summer School
Completed the Methods and Tools for Resilient Industrial IoT summer school with Technical University of Munich and Siemens. Grade: 30/30.
Dementia — Complex Data in Health
Analyzed disease progression and genetic factors using medical vocabularies, network medicine, and drug-disease proximity analysis. Grade: 9.1/10.
Madrid Waste Management
Built an open-data and knowledge-graph project for waste-management insights in Madrid, including linked data modeling and a web app. Grade: 9.4/10.
Logitech — Innovation and Entrepreneurship
Developed a product and business concept around the future of peripherals for changing work and leisure habits. Grade: 9/10.