
Hassan Saif
Senior Data science manager with over 15 years’ experience in Artificial Intelligence (AI), Machine Learning (ML), Natural Language... | Milton Keynes, England, United Kingdom
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Hassan Saif’s Emails ha****@op****.ac
Hassan Saif’s Phone Numbers 1212525251544207991****
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Hassan Saif’s Location Milton Keynes, England, United Kingdom
Hassan Saif’s Expertise Senior Data science manager with over 15 years’ experience in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Software Engineering, and Big Data, Proficient in leading teams to develop and implement scalable ML models and cloud-based solutions to address a wide range of societal, political, and business challenges. Expertise in financial crime detection, counterterrorism, online radicalisation, sentiment analysis, and user behaviour analysis. Strong experience with stakeholder management, guiding the entire lifecycle of ML-based projects and delivering actionable intelligence and insights to front-line businesses and governmental agencies. Author of a recognized book on NLP and Sentiment Analysis and a contributor of over 30 publications in world-leading journals and conferences. I currently work as a senior data science manager within the Financial Crime Digital Enablement function at HSBC, London. Prior to joining HSBC, I worked as a senior data scientist at True212 and as a research scientist at the Knowledge Media Institute (KMI) of the Open University. Both roles focused on designing and building large-scale Machine Learning and Deep Learning models to address various real-world commercial, societal, and political problems, including but not limited to social media recommendation and monitoring systems, crisis-related event detection and management, opinion mining, and user behaviour analysis. During my industrial and academic career, I have been involved in the management and development of several UK- and EU-funded projects such as Project-RER, ROBUST, SENSE4US, COMERADES and TRIVALENT and have published 1 book and over 30 articles in world-leading conferences (e.g., ICWSM, ISWC, WWW) and journals (e.g., IPM, IJESM, SWJ). I have a PhD in Data Science (2015), for which I developed state-of-the-art Machine Learning solutions for opining mining and sentiment analysis on social media. My PhD thesis received the SAWSA "International Best Dissertation Award" in October 2016 (Kobe, Japan) I hold an M.Eng in Artificial Intelligence (2011) and B.Sc. in Computer Science (2008). Previously to joining KMI, I worked as a research assistant at the University of Lincoln, UK and as a software engineer for NordicSense, Finland.
Hassan Saif’s Current Industry Hsbc
Hassan
Saif’s Prior Industry
Teacharabia
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Nordicsense
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University Of Lincoln
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The Open University
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Kmi The Open University
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True212
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Hsbc
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Work Experience

Hsbc
Senior AI & Data Science Manager
Sat Jan 01 2022 00:00:00 GMT+0000 (Coordinated Universal Time) — Present
Hsbc
Senior Data Scientist | Research Analytics | Financial Crime Threat Mitigation
Wed Aug 01 2018 00:00:00 GMT+0000 (Coordinated Universal Time) — Present
True212
Senior Data Scientist
Wed Nov 01 2017 00:00:00 GMT+0000 (Coordinated Universal Time) — Fri Jun 01 2018 00:00:00 GMT+0000 (Coordinated Universal Time)
Kmi The Open University
Data Scientist
Mon Jun 01 2015 00:00:00 GMT+0000 (Coordinated Universal Time) — Sun Oct 01 2017 00:00:00 GMT+0000 (Coordinated Universal Time)
The Open University
Research Assistant
Tue Apr 01 2014 00:00:00 GMT+0000 (Coordinated Universal Time) — Fri May 01 2015 00:00:00 GMT+0000 (Coordinated Universal Time)
University Of Lincoln
Research Assistant (Internship)
Sun Aug 01 2010 00:00:00 GMT+0000 (Coordinated Universal Time) — Wed Dec 01 2010 00:00:00 GMT+0000 (Coordinated Universal Time)
Nordicsense
Facebook App Developer
Mon Sep 01 2008 00:00:00 GMT+0000 (Coordinated Universal Time) — Fri Jan 01 2010 00:00:00 GMT+0000 (Coordinated Universal Time)
Teacharabia
Senior Software Engineer
Thu Jul 01 2004 00:00:00 GMT+0000 (Coordinated Universal Time) — Sun Aug 01 2010 00:00:00 GMT+0000 (Coordinated Universal Time)