Hey, meet Yassir
AI Leader

Nine years, four countries, seven organisations

From data science and machine learning models in Paris and Singapore to agentic AI go-to-market across ECEMEA — every role, and what came out of it.

  1. IT Research Manager Robot Telecom Top-tier French robotics institution
  2. Research AI Scientist Kingston University Leading UK university in computer science research
  3. Data Scientist CANAL+ Major media and pay-TV player across Europe & Africa
  4. Data Scientist Cdiscount France & West Europe's leading e-commerce platform
  5. Senior Data Scientist AXA Leading global insurer
  6. Lead Data & AI Allianz One of the world's leading insurance & asset management groups
  7. AI Principal Leader Oracle World's leading enterprise software & cloud applications provider
  1. Current Oct 2024 — Present · Dubai, UAE 🇦🇪
    World's leading enterprise software & cloud applications provider
    AI Principal Leader — ECEMEA
    • Led and tracked Agentic Applications pipeline generation across the ECEMEA region, owning the funnel end to end from lead to progressing opportunity.
    • Defined and delivered the go-to-market strategy for Oracle AI Agent Studio, presented at COO, SVP and VP level, then rolled it out regionally through AI Hackathons and executive AI Master Classes.
    • Coordinated with AI and Domain teams to ensure every effort was properly tracked in system, and with Sales teams to convert leads and keep opportunities progressing.
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    • Worked closely with Business Development teams on events and scheduled programs to drive AI-related pipeline generation.
    • Provided daily follow-ups to Director and VP level, and supported AI presentations and readouts for Sales VPs across clusters as well as SVP-level calls.
    • Drove Oracle AI innovation and adoption across ECEMEA, aligning AI strategy with business objectives, product roadmaps and customer needs.
    • Led the end-to-end customer-facing AI lifecycle, from ideation and use case qualification through solution design and deployment to value realisation.
    • Acted as AI subject-matter expert and speaker at regional and international conferences, executive roundtables and innovation forums.
  2. Sep 2020 — Sep 2024 · Paris, France 🇫🇷
    One of the world's leading insurance & asset management groups
    Lead Data & AI — Innovation Lab & AI CoE · 2022—2024
    • Delivered substantial cost savings by deploying AI solutions for business process optimisation.
    • Led a team of 4 to 7 AI specialists across data science and data engineering, owning the full cycle from architecture and POC to production.
    • Drove internal expansion by presenting delivered projects to C-level executives, and enabled international growth by onboarding AI specialists from Allianz entities worldwide.
    Earlier at Allianz
    Senior AI Engineer — AI & Big Data Team · 2020—2023
    • Led development of an end-to-end AI solution to identify, parse and extract clean data from contracts, invoices, IDs and driving licenses.
    • Built a document search engine across a database holding over 3M documents annually, plus a GenAI document Q&A solution.
    • Contributed to an internal fraud detection product for reported claims, including a graph-based detection module.
  3. Feb — Aug 2020 · Singapore 🇸🇬
    Leading global insurer
    Senior Data Scientist — APAC Customer Analytics
    • Developed an OCR module for extracting and recognising information from Singaporean ID cards, combining a deep learning architecture with a regex-based extractor.
    • Improved the data quality of the customer database through a de-duplication method, a rule-based segmentation model and a golden flags generator.
    • Presented AI product results to the whole department, including the CDO and senior data & AI directors.
  4. Mar — Aug 2019 · Bordeaux, France 🇫🇷
    France & West Europe's leading e-commerce platform
    Data Scientist — Marketing Targeting
    • Implemented a machine learning model to optimise commercial pressure via email and predict the optimum number of advertising emails sent weekly to each customer.
    • Analysed statistical results and presented findings to the CMO, CIO and senior AI directors.
    • Created Power BI reports giving CRM teams direct access to commercial pressure KPIs.
  5. Sep 2018 — Feb 2019 · Paris, France 🇫🇷
    Major media and pay-TV player across Europe & Africa
    Data Scientist — Customer Retention
    • Developed a scoring algorithm to determine potential clients and predict customer churn.
    • Presented final results to the CMO, CIO and senior AI directors as well as business teams.
    • Followed up the activity of the CANAL+ CONTACT business unit across Africa and the French Overseas Departments through daily reports and dashboards.
  6. May — Aug 2018 · London, UK 🇬🇧
    Leading UK university in computer science research
    Research AI Scientist — Natural Language Processing
    • Designed deep learning architectures for sentiment analysis on large-scale Twitter data.
    • Built an automated data collection pipeline to extract and structure academic publications.
    • Assessed emerging NLP techniques and presented findings to the research group.
  7. Sep 2016 — May 2018 · Strasbourg, France 🇫🇷
    Top-tier French robotics institution
    IT Research Manager — Data & Robotics
    • Managed a team of four software engineers to develop a three-wheeled robot end to end.
    • Prepared weekly reports for the client and presented both the technical detail and the business proposal.
    • Competed in the French National Robotics Cup 2017/2018, reaching the finals.
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