Zahra El Hamraoui

Business Analyst · Data / AI

Lille, France · +33 7 67 11 04 22 · zahraeh.fr@gmail.com · zahraeh.com

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Experience

Business analysis and AI-driven product work across healthcare, research, and operations: translating needs into requirements, data models, and workflows with clear impact.

Engineer – AI Research (Business-facing) — EGID

2025 – Present · Lille, France
  • Gather requirements from lab, data, and leadership teams and translate them into clear AI/data workflows and acceptance criteria.
  • Define data quality rules, success metrics, and documentation so stakeholders have a shared view of “done” for each initiative.
  • Support process improvements by mapping current vs. target workflows and identifying where automation or AI adds value.

AI Researcher (PhD) — Centre for Genomic Regulation / UPF

2021 – 2025 · Barcelona, Spain
  • Translated research questions from clinicians and scientists into structured analytical plans, including data requirements and evaluation KPIs.
  • Coordinated cross-functional work with 50+ scientists and collaborators, aligning expectations and communicating results to non-technical stakeholders.
  • Designed and maintained end-to-end data analysis workflows in healthcare/proteomics, ensuring reproducibility and clear documentation.

Data Scientist — Genomic Systems, UM6P

2020 – 2021 · Morocco
  • Worked with research and product stakeholders to scope use cases for NLP and data-driven decision tools.
  • Contributed to international ML challenges (incl. Kaggle Tweet Sentiment Extraction) as a way to benchmark approaches and accelerate internal projects.

AI Intern — EMBO Press

2023 · Heidelberg, Germany
  • Partnered with journal editors and operations to identify bottlenecks in image screening and define requirements for an AI-assisted validation tool.
  • Scoped MVP, designed evaluation criteria, and implemented prototypes that reduced manual review load for editorial staff.

Selected Product & BA Projects

Budget Planning & Forecasting Tool

  • Led requirements gathering for a budgeting tool with variance tracking and scenario comparison.
  • Designed the logical data model, key business rules, and process flows used to brief developers.

Afiya — Connected Habit & Wellness Coach

  • Defined product vision and MVP using health data from Oura, Flo, and Apple Health.
  • Ran user research, journeys, and specs; beta tests showed users felt less overwhelmed and completed more daily habits.

SkillBridge — AI Career Copilot

  • Analyzed CVs and job postings to surface top skill gaps for career changers.
  • Delivered a prototype “skill gap report” and learning roadmap, improving clarity and accountability for beta users.

Selected Certifications

  • Pendo — AI for Product Management
  • CRG Bio Business School (Healthcare Innovation)
  • Data Scientist Associate — DataCamp
  • Full list on LinkedIn

Skills

Business Analysis: Requirements elicitation, stakeholder interviews, process mapping, documentation (FRD/PRD), backlog refinement.

Data & Tech: Python, SQL, data analysis, dashboards/prototypes, working with APIs and structured/unstructured data.

Product & Delivery: Discovery, MVP scoping, defining KPIs, experimentation, cross-functional collaboration (research, ops, engineering).

Education

M.Sc. in Bioinformatics

2018 – 2020

Graduated with Honours — Thesis on computer vision models for COVID-19 screening in clinical imaging

B.Sc. in Applied Mathematics & Computer Science

2015 – 2018

Graduated with Honours — Thesis on Graph Theory with applications in algebra

Other

Languages: French, English, Arabic (Advanced); Spanish (Conversational)

Scientific Author: Publications in ML & life sciences (see Google Scholar)

Interests: Clinical innovation, AI ethics, mountain biking, science writing