Description

A Data Scientist (PhD) with strong expertise in Artificial Intelligence and Machine Learning, specialising in deep learning architectures, model interpretability, and large-scale predictive analytics. I have a particular focus on Natural Language Processing, including text mining, thematic and sentiment analysis, emotion detection, and sarcasm classification across complex, real-world datasets. Experienced in designing and delivering end-to-end, reproducible data science pipelines using Python and R, automating analytical workflows, and transforming complex outputs into clear, actionable insights for decision-makers.

Languages

English
Native or bilingual
Arabic
Native or bilingual

Workplace preferences

Can work on-site

London (up to 50km)

Data Centric
Data Scientist (Freelance / Consultant)
April 2024 - Today (2 years and 2 months)
London, UK
• • Delivered end-to-end data science solutions for clients across healthcare, social media analytics, and business intelligence
• • Designed and deployed machine learning and NLP models for classification, prediction, and thematic analysis
• • Conducted text mining and sentiment analysis on large-scale datasets (social media, survey, and transactional data)
• • Communicated insights to non-technical stakeholders using clear visualisations and written reports
• • Ensured reproducibility through clean code, version control (Git), and documented pipelines
Data mining Predictive modelling Machine Learning Data analysis Text mining/NLP
BKN Data Services
Junior Data Scientist
January 2022 - March 2024 (2 years and 2 months)
London, UK
• • Built and deployed predictive models in Python and R to support client reporting and operational decision making.
• • Developed automated data preprocessing pipelines, improving data preparation efficiency, and reducing manual processing.
• • Designed interactive Tableau dashboards to visualise performance trends and support stakeholder insight generation.
• • Processed and validated large datasets to ensure accuracy, reliability, and consistency across data workflows.
• • Worked with cross-functional teams to translate business problems into analytical solutions and actionable insights.
Fodel Ltd
Data Analyst
February 2020 - December 2021 (1 year and 10 months)
London, UK
• • Cleaned, transformed, and analysed operational datasets using Python and R to support business reporting.
• • Built validation checks and monitoring processes to improve data quality and automate routine data tasks.
• • Produced analytical reports and visualisations to support performance evaluation and trend analysis.
• • Applied statistical techniques and exploratory analysis to support evidence-based operational decisions.