Hello! I'm David, a dedicated Machine Learning Engineer at Fever, where we're at the forefront of transforming the entertainment industry through cutting-edge data techniques.🔬 With both a degree in Mathematics and Computer Science, I have a robust foundation in statistics and machine learning. This background provides me with the expertise to understand the theoretical underpinnings of algorithms, make informed modeling choices, rigorously evaluate performance, and translate complex problems into mathematical formulations.💡 At Fever, I’ve played a pivotal role in developing our machine learning and data infrastructure from the ground-up, driving the transition to a data-driven company. My daily toolkit includes technologies such as Snowflake, Django, FastAPI, Metaflow, Pytorch, Pandas, Numpy and AWS Cloud. These tools enable me to seamlessly integrate data and ML solutions into both quick prototypes and robust analysis pipelines.🚀 One remarkable achievement is the "Similar Plans" carousel, found on any Fever plan, that enhances recommendations through hybrid NLP models optimized by user interactions, which in turn results in measurable improvements in user engagement and satisfaction. 🤝 Collaboration is a cornerstone of my work. I effectively partner with cross-functional teams, including data engineers, analysts, and software engineers, to bring data-driven solutions to life. A notable example of this collaboration was our successful overhaul of Fever’s personalization strategy.🧠 My journey is defined by a relentless pursuit of knowledge and curiosity. I am always eager to explore new connections and exciting opportunities in the fields of science, technology, and innovation. My ultimate goal is to continue pushing the boundaries of what’s possible with machine learning and data science, driving impactful change within the tech industry.