About:

I am Yasmin Fathy, a Data Scientist with a Ph.D. in Engineering. I have strong leadership, communication and management skills to achieve organizational goals and collaborate effectively with others. I have experience in effectively controlling and mitigating project risks while creating rapport and building long-term successful relationships with stakeholders.

I have various professional experiences in successfully developing data analytics and ML solutions that explain their automated and predictive decisions while tackling complex business problems and adhering to regulatory requirements.

I am passionate about solving challenging problems with real-world implications. I am always keen to develop new technologies and solutions to extract insights from data, test hypotheses, and build ML models to address complex queries and questions.

I am an active advocate for diversity and inclusiveness in the workplace, a passion shaped by my inquisitive personality and eureka moments in my professional and personal lives. As a Race at Work Mentor within the Reverse Mentoring Program at Barclays, I am offering a safe space for top managers/leaders to learn and be exposed to challenging dialogue while learning about the lived experiences of Black and Minority colleagues.

I am always keen to participate in collective positive action to identify and remove barriers and biases that prevent marginalized groups from having equal opportunities at work.

Extended Bio

Iā€™m Yasmin Fathy, a Data Scientist at Barclays Bank UK PLC and a UK Fellow of the Higher Education Academy. I mainly work on designing & developing data analytics and ML solutions that explain their automated-predictive decisions while tackling complex business problems and adhering to regulatory requirements.

Before joining Barclays, I was a Research Associate at the Department of Engineering, University of Cambridge. Prior to that, I was a Software Developer at Genomics Analytics Group at European Bioinformatics Institute (EMBL-EBI), Research Associate in IoT and Machine Learning at Cambridge University, and a KTP Research Associate in Data Science and Machine Learning at UCL. I obtained my PhD from the Institute for Communication Systems (ICS) at the University of Surrey and an MSc in Applied Science and Engineering from the Artificial Intelligence (AI) Lab at Vrije Universiteit Brussel (VUB) in Belgium.

I was an active reviewer and a technical program committee member for multidisciplinary and international journals and conferences, including CCNC, The Web Conference (WWW), IEEE Systems, IEEE IoT Journal, IEEE Transactions on Big Data, and IEEE Access. I was a Topic Editorial in Frontiers in Big Data: Women in Machine Learning and Artificial Intelligence Initiative, a Data Champion at the University of Cambridge and a member of the Cambridge Centre for Data-Driven Discovery (C2D3). I was a BSF (Become a Science Founder) Fellow for entrepreneurship scientists in 2021 and was awarded MEDASTAR Erasmus Mundus and University of Surrey scholarships.

Having a genuine interest in helping others achieve their personal/professional development objectives, I am mentoring graduates and junior engineers. I mainly guide and coach them by setting development goals, sharing experiences, and helping them overcome challenges and achieve their career goals. I am also a race mentor within a reverse mentoring program at Barclays, where I offer a safe space for top leaders to learn and be exposed to challenging dialogue while learning about the lived experiences of Black and Minority colleagues. Previously, I was a volunteer mentor for supporting students with soft & English skills development at Manara and a volunteer instructor at Code First Girls (CFGs).


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