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Hey, I'm James - a data enthusiast with a speciality in machine learning. Im currently working as a machine learning engineer QuantSpark.
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Empowering Legal Analysis Through Cutting-Edge Language Models
Merging human expertise with advanced language models to empower legal analysis, delivering succinct summaries for fast decision-making View Case Study
An improved contextual based search
Podcast Episode Recomendations with vector databases and transformer models View Case Study
Using AWS microservices to automatically deliver insights on the weather in the UK
Garnering hands-on experience with Amazon Web Services' Lambda, S3, EC2, and EventBridge microservices. View Case Study
Using Python and Apache Airflow to detect and notify new Parkrun events
Trying to collect all the parkrun events in a specific city? This workflow emails users every Sunday of newly published parkrun events and their locations. View Case Study
Enhancing user playlists through neural network implementation.
Matching well suited songs to user playlists, assisting in the creation of a well rounded user experience. View Case Study
Using natural language processing to provide podcast episode recommendations.
So you loved that Stuff You Should Know (SYSK) episode on The Dyatlov Pass Mystery, and want to know which other episodes Josh and chuck have that might be similar? Well with over 1500 episodes, it can be hard to choose. View Case Study
I’m a Machine Learning Engineer at QuantSpark.
I'm skilled in all facets of data science, including data mining, pre-processing, analysis and results visualization. I have a strong background in statistics and mathematics, and have delivered several machine learning solutions from conception to production.
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