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Work Background
SagePrincipal Data Scientist - Sage AI
Mar. 2019Edinburgh, United Kingdom- Developing and deploying ML solutions in areas such as Generative AI, Anomaly Detection, Finance-specific Large Language Models (LLMs), and Time Series prediction.
- Leading cross-functional teams in the end-to-end development and deployment of machine learning features.
- Designing data science experiments, ML pipelines and APIs.
- Collaborating with executives to establish the vision and strategy for AI transformation across Sage.
- Conducting technical due diligence efforts for the acquisition of AI companies.
- Coordinating with legal, privacy, and security teams to ensure the secure and ethical development of ML solutions.
- Creating frameworks to automate machine learning workflows, supporting AI transformation, and upskilling initiatives.
SageData Scientist - Smart Services
Apr. 2017 - Mar. 2019Newcastle upon Tyne, United KingdomDeveloping and deploying smart services for Sage software and supporting Machine Learning development across the organisation. - Design Sage’s Smart Services cloud architecture to develop & deploy ML microservices.
- Developed ML models to detect patterns in customers’ transactions using advanced NLP and machine learning techniques. U.S. Patent Application US20200242134A1. EU Patent Application EP19153803.2A
- Developed & deployed a microservice to predict the next word of textual descriptions. The service uses Markov Chain to suggest the next word based on the history of the user's input.
- Developed workflows to initiate data science projects to support the team becoming more output focused and effective in managing projects.
- Leading a project to evaluate Automated-Machine Learning technologies to promote data science/analytics workflow efficiencies across the organisation. Methods and technologies used: Clustering and classification algorithms, deep learning, computer vision, Bayesian-based forecasting models, Time series analysis (econometrics and LSTM), pattern and anomaly detection, reinforcement learning, NLP, AWS, Azure, Tensorflow and CNTK.
Sopra SteriaData Scientist
Oct. 2016 - Nov. 2016London, United Kingdom- Developed prediction models to optimise smart meter installation for utility companies across the UK. - Developed a platform that allows clients to maximise success rates for installing smart meters.
- Devised algorithm for improving prediction accuracy with real-time model tuning.
Heriot-Watt UniversityDoctoral Researcher
Sep. 2013 - Mar. 2017EdinburghSeries of projects to model and predict stock market returns using managerial and investor sentiment indices in addition to market and companies factors. - Quantified managerial and investor sentiment using textual analysis, confidence indicators and market-based measures.
- Developed a behavioural asset pricing model to forecast the stock market and industries’ returns. The model is the first to account for managers’ as well as investors’ sentiments and results in a significant explanation of stock returns.
- Led a group of academics in a project to test a new sentiment indicator and develop pricing models to predict stock market returns. Methods and technologies used: Granger-causality, Vector Error Correction Model, predictive regressions, Markov Chain Monte Carlo, R, Github.
Cairo UniversityScientific Researcher
Jul. 2008 - Sep. 2013EgyptProjects include: - Analysis of 400,000 UK SMEs with 50 million observations to examine how board diversity affects financial performance.
- Implementation of an innovative method to estimate the impact of time-invariant attributes in a fixed effect model and visualised the impact of various attributes on the presence of female managers on the board of directors. Methods, databases and languages used: Fixed Effect Vector Decomposition, panel data, Pooling OLS regressions, R, Fame, Bankscope.
DCS TELECOM GROUPStrategic Business Unit (SBU) Coordinator
Jul. 2007 - Jun. 2008Cairo, EgyptProjects involve: - Developing strategic plans to increase the market share of installing and maintaining Very Small Aperture Terminal (VSAT) products.
- Planning and implementation of the local internet division.
- Staff training programmes on strategic planning and financial appraisal methods and tools.
FreelanceQuantitative Developer/Analyst
Jun. 2007 - Sep. 2013Projects involve: - Trading data analysis and reporting.
- Developing ML driven pricing models and quants libraries.
- Portfolio risk analysis and value for money assessment.
- Developing and maintaining pricing models (equity).
- Scenario and sensitivity analysis, stress testing, and reverse stress testing.
Salhin's Sons Furniture ShopShop Assistant
May. 1995 - Sep. 2001Cairo, EgyptSummer work at a family furniture business. Responsibilities: - Maintaining and communicating comprehensive product information to customers.
- Cleaning and rearranging the store.
- Safely assembling and dismantling furniture on/offsite.
- Evaluating products quality and carrying out minor repairs on items of furniture.
- Loading/unloading furniture trucks and door-to-door delivery to customer's sites.
- Procuring tools, accessories, components and hardware products supplies.
- Maintaining an organised and safe toolkit.
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