Nesryne Zina-Raggoua

Expert in HR project management dedicated to the aeronautics sector, I serve as the interface between the critical needs of clients (Sourcing, Quality, Deadlines) and the deployment of tailor-made HR solutions. Specializing in supporting high-demand professions (production, engineering), I manage recruitment campaigns and talent skill development through innovative training programs (GEPP).

Main Missions

1. Talent Acquisition Management (Sourcing & Selection)

Defining strategic needs with major clients (Airbus, Safran, Tier 1 and 2 subcontractors).

Specialized sourcing for hard-to-fill roles: assembly fitters, test technicians, structural engineers, aero welders.

Assessment of technical skills and verification of specific certifications (Human Factors, B0/H0V, etc.).

2. Project Management & Training Engineering

Implementation of training programs such as POEC (Operational Preparation for Collective Employment) to address the shortage of qualified labor.

Deployment of GEPP (Employment and Career Path Management) to anticipate technological changes in the sector (Factory of the Future, composite materials).

Coordination with training organizations and institutional partners (France Travail, Opco).

3. Business Development & Client Relations

Management of a strategic client portfolio: implementation and monitoring of KPIs.

KPI Reporting and Analysis: Tracking conversion rates, temporary worker retention rates, and budget adherence.

Legal and HR advice on contracts (fixed-term, permanent, temporary) and risk prevention (Safety/PPE).

Specialist in risk prevention in local government, I led the digital transition and automation of the municipality's Quality of Work Life (QWL) policy. I transformed the "Document Unique" (DUERP) – traditionally static and paper-based – into a dynamic, connected digital management tool.

Main Missions & Digitalization Focus:

1. Digitalization and Automation of the DUERP

To optimize risk assessment across all municipal departments (technical, school, administrative), I automated the entire data processing workflow:

Intelligent Collection (No-Code): Deployment of digital forms allowing field agents to report risks and incidents in real-time.

Automated Centralization: Creation of a connected database (Airtable type) instantly compiling audits (physical, psychosocial, MSD risks), eliminating manual data entry and outdated spreadsheets.

Dynamic Generation: Automation of regulatory document creation (DUERP, PAPRIPACT) and design of visual dashboards for action plan tracking and cost estimation.

2. QWL Initiative Management through Data

Facilitating participatory workshops to identify levers for improving working conditions (ergonomics, mental load).

Creation of automated monitoring tools for key HR indicators (absenteeism, turnover, psychosocial risk alerts) to shift from a reactive to a predictive prevention approach.

3. Social Dialogue & Change Management

Presentation of digitized data during staff representative committee meetings (FSSSCT), aiding management decisions with clear reports.

Support and training for managers in using these digital solutions to simplify their daily management.

As CEO of Uzin’IA, I assist companies in transitioning from "manual" to "systemic" operations to free up their teams from time-consuming tasks and maximize their growth. My approach is based on advanced technical mastery of data flows and expertise in operational management (RNCP Level 7 - 91% success rate).

My Concrete Achievements (Active Agents):

The "Zero-Bounce" Prospecting Agent: Design of a hybrid prospecting funnel (Make/Sheets/Gmail).

Technique: Implementation of Regex validation filters and real-time syntax verification formulas.

Resilience: Integration of advanced error handlers (Ignore and Resume modules) allowing the flow to continue despite expired domains or server errors.

Impact: Protection of the sender domain's reputation and a 99% deliverability rate.

The Extraction & Enrichment Agent (Apify + AI): Automation of complex data scraping and structuring by AI.

Technique: Control of Apify Actors via Webhooks and REST API.

Parsing: Use of language models (LLM/SLM) to transform raw, unstructured data into ready-to-use CRM entries.

The Real-Time Processing Agent (Speed-to-Lead):

Performance: Reduction of lead processing time from 4 hours to 12 seconds.

Architecture: Dynamic mapping of incoming data, automated scoring, and intelligent routing to appointment setting tools.

My Technical Stack:

Automation: Make.com (Complete mastery: Routers, Error Handlers, HTTP Requests, Data Stores).

Data Scraping: Apify, ScrapingBee, Browserless.

Logic: Regex (Regular Expressions), JavaScript (Basic scripts for enrichment), JSON parsing.

AI: OpenAI API (GPT-4 / GPT-4o), Anthropic Claude, integration of frugal models (SLM).

Database: Google Sheets (Complex formula expertise), Airtable, Notion DB.