Daoud Clarke
Daoud Clarke
Daoud Clarke is a highly skilled data scientist and software engineer with over a decade of experience in the industry. He holds a Ph.D. in informatics from the University of Sussex and has published several papers on topics related to natural language processing, sentiment analysis, and document classification. Daoud has worked on machine learning projects for some of the UK's top companies, including Tesco and News UK.
Daoud's expertise lies in applying complex statistical analysis and natural language processing techniques to solve business problems. He is highly proficient in machine learning algorithms like SVM and Bayesian methods, as well as NLP and text mining techniques such as document clustering, sentiment analysis, LSA, and LDA. Daoud has experience working with Python, Java, SQL, Lua, C#, C++, R, JavaScript, Prolog, Clojure, RDF, SPARQL, and other programming languages.
Daoud is seeking a challenging contract role where he can apply his deep learning knowledge to deliver data-driven solutions to businesses. He is the founder of Hyperparameter Limited and has previously worked as a data scientist at Lumi and a text mining solutions architect at Gorkana Group. Daoud has also worked as a Machine Learning Engineer at Lucid, LLC, and as a Research Associate at the University of Sussex.
RT @mwmblorg: Why the world needs a non-profit search engine? https://t.co/ElMphpsnDK written by @daarkecloud
I feel like it's harder to get phrase vectors from tools like FastText etc than it should be in 2021. Gensim does a… https://t.co/Zsj9x96OyD