À propos de Othman
Professional Profile: AI & Data Strategy Consultant
Core Competencies
- Advanced data science and AI solution design
- Cross-cloud generative AI implementation
- Technical-business translation and strategic consulting
- Multilingual communication and international collaboration
Technical Expertise
- Programming Languages: Advanced Python, proficient in R
- Cloud Platforms: Experience with AWS, Azure, and Google Cloud Platform
- AI/ML Technologies: Large Language Model (LLM) deployment, Machine learning model development, Advanced analytics solutions
Strategic Value Proposition
Proven track record of bridging complex technical capabilities with tangible business outcomes. Specializes in designing data strategies that unlock organizational potential, transform decision-making processes, and drive innovative solutions across regulatory, cost, and revenue domains.
Key Differentiators
- Demonstrated ability to manage high-paced, multi-dimensional consulting environments
- Expert in translating intricate technical requirements into clear, actionable business strategies
- Strong leadership in guiding cross-functional teams through complex digital transformation initiatives
Industry Focus
Particularly suited for Banking, Insurance, Life Sciences, and Healthcare sectors, with a proven ability to navigate complex regulatory and technological landscapes.
Language & Collaboration Skills
- Languages: Fluent in English, with additional language capabilities enhancing cross-cultural team dynamics
- Exceptional at fostering collaborative environments across nearshore and offshore teams
Français
Bilingue ou natif
Anglais
Bilingue ou natif
Arabe
Bilingue ou natif
Accepte de travailler sur site
Paris (jusqu’à 50 km)
Expériences
- Ernst & young Advisory (EY)Senior Artificial Intelligence Consultant / Lead Data Scientistjanvier 2022 - Aujourd'hui (4 ans et 5 mois)Paris, France• AI-Driven Financial Crime Prevention & Compliance Optimization for Leading French Banking Institutions :– Leveraged advanced data preprocessing and feature engineering techniques to develop a comprehensive dataset, essential for a robust AI-assisted compliance prediction.– Strategically led the design, testing, and optimization of a Random Forest predictive model by utilizing techniques such as cross-validation, grid search, and feature importance analysis to enhance the model's predictive power.– Achieving 72% performance improvement in compliance risk prediction, significantly reducing manual review time by 45% and enhancing detection accuracy.– Collaborated closely with compliance operators and financial crime team leaders to iteratively refine model performance, ensuring regulatory alignment and maintaining transparent communication channels across technical and operational teams.• AI-Powered Financial Reporting Solution for Leading Global Investment Banking Group :– Designed & developed a GPT-4o driven platform for fund management team reducing manual funds monthly report generation time by 85%.– Implemented field specific LLM alignement as wel as automatic translation mechanism covering 6 reporting languages with contextual accuracy.– Enabled global reporting teams to generate standardized, high-quality investment monthly reports with advanced prompt engineering techniques & fine-tuning.• AI Public Speaker - InspiringAI Adoption across the Firm :– Frequent speaker at major conferences and internal events, engaging audiences with advancements and applications of AI, ML, and Generative AI across different lines of work.– Awarded AI Ambassador & Rising Star at EY EMEIA demonstrating leadership in AI and bolstering EY's reputation in AI innovation.– Spearheaded the development of a company-oriented GenAI chatbot assistant, driving a $1.4B internal investment in AI.
- ETIS Research LaboratoryData Science Research Intern / Fact-Checking injanvier 2021 - janvier 2022 (1 an)Paris, France• Conducted comprehensive literature review on automated fact-checking and fake news detection methodologies.• Evaluated state-of-the-art NLP methods for fact-checking, exploring Language Models (BERT, ALBERT, XLNET) for claim verification.• Developed a novel Hybrid Fake-News Detection Architecture combining Language Models and Graph Auto-encoders, achieving 89% accuracy on Politifact dataset 80% accuracy on Gossipcop dataset.• Authored & published scientific paper detailing innovative NLP fact-checking research.
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Formations
- Master’s of Research in Data Science & Machine LearningCY Cergy Paris University & ENSEAPaper publication & Conference presentation on “Fact-Checking In Complex Networks” in IEEE Ninth International Conference on Big Data Computing Service and Applications
- Bachelor’s of Fundamental Mathematics & Computer ScienceUniversity of Paris