EcoForecast Challenge - 🏆 5th
Top-ranked project in a major competition, leveraging boosting methods and NNs to forecast green energy surplus.
I'm just someone who enjoys the complexities and challenges of data. My worldview is often guided by Bayesian thinking, even though I confess to occasionally falling prey to cognitive biases.
I am an engineer with a Master's in Data Science, and as an almost-avid reader, I've naturally cultivated a keen interest in Natural Language Processing. On a lighter note, I'm a calisthenics amateur.Top-ranked project in a major competition, leveraging boosting methods and NNs to forecast green energy surplus.
OCR pipeline to process book pages. From image dewarping to text extraction, showcased in a Streamlit app.
Fine-tuned BERT for extractive summarization. Abstractive to extractive data conversion tool.
Expect some posts, maybe.