I’m Pablo Gandía, a Data Science student at the Polytechnic University of Valencia, with multiple honors for academic excellence. I’m passionate about programming, artificial intelligence and mathematics, with special interest in their application in consulting and finance.
Advanced pipeline analyzing political news articles with neural networks and large language models. Includes automated data scraping, NLP preprocessing, fine-tuning of BERT-base-cased, transformers through pytorch, and bias detection.
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Comprehensive analysis of multi-year traffic records from Valencia city sensors. Data processing and optimization enabled advanced analytics to uncover patterns across road types, time periods, and their correlation with air quality indicators.
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Real-time facial emotion recognition using a deep CNN trained with Keras on FER-2013. Hierarchical features are extracted through convolutional layers and optimized via cross-entropy loss and SGD, with OpenCV for detection and Tkinter for real-time outputs interface.
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Custom Python API built from scratch to integrate TastyTrade broker into fintech systems. Implements REST for trading and low-latency WebSocket streaming, with secure sessions and robust handling of orders, transactions, balances,OHLC data...
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