Soung Low

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I am a data scientist with professional experience in the financial industry in the UK. I am currently working as a Model Risk Data Scientist at NatWest Group where I validate various types of machine learning across different functions. Prior to this, I was a Data Scientist at Amplifi Capital, which gave me valuable insights into the consumer lending industry, including loan decisioning and pricing processes, as well as the optimization of lending and savings products.

In addition to my professional work, I identify as a social data scientist. I am interested in the intersection of data science and political communication. Substantively, my research focuses on political representation, inequalities and stereotypes (particularly on the Malaysian political sphere), and public opinion. Methodologically, I focus on natural language processing and quantitative textual analysis for multilingual texts, such as news, parliamentary speech, and social media. I graduated with a MSc in Applied Social Data Science (Distinction) from the London School of Economics and Political Science (LSE).

News

May 12, 2023 Presented “Unveiling Racial Stereotypes in the Malaysian News using Word Embeddings” at the 2023 International and Interdisciplinary Conference on the Quantitative and Computational Analysis of Textual Data (COMPTEXT 2023).
May 7, 2022 Presented “Wanita in Parliaments: The attitude of Malaysian MPs towards women” at the 2022 International and Interdisciplinary Conference on the Quantitative and Computational Analysis of Textual Data (COMPTEXT 2022).
Nov 11, 2021 Presented “The Hashtag Activism of Milk Tea Alliance on Twitter: A Mixed-Method Study” at the 12th Asian Conference on Media, Communication & Film (MediAsia 2021).