General Info
Professional Track
- Information Technology (IT) and Communications
Data Processing and Analytics
Country
MoroccoAreas of Expertise
- Computer Science
- Data Mining and Analytics
- Artificial Intelligence/Machine Learning
Professional Interests
- Scalable data architecture design
- Data processing
- AI for geospatial analytics
Using data and intelligent solutions to build smarter communities.
What will be your most valuable contribution to your TechWomen mentorship?
My most valuable contribution to the TechWomen mentorship will be my ability to combine strong theoretical depth in data engineering with hands-on experience leading complex data projects. I bring a deep understanding of designing and managing end-to-end data pipelines, optimizing data architectures and turning data into actionable insights. Having worked across both academic research and industry, I've developed the ability to align rigorous technical thinking with real-world challenges. I look forward to contributing this dual perspective, rooted in both strategy and execution, while actively engaging in meaningful collaboration and cross-cultural exchange.
The Top Three Things I Would Like to Learn or Experience During my Mentorship
- Deepen expertise in data engineering practices.
- Explore development and application of AI tools and models.
- Strengthen leadership and public speaking skills.
Mentorship Characteristic
- Attend company meetings
- Visit an office or attend a site-visit
- Focus on leadership skills building
- Identify a short-term project I can work on at the partnering company
- Gets me involved in day-to-day activities of the mentor and partnering company.
Ideal Company Type
My ideal mentor works in a large-scale technology company where engineering excellence is embedded into the culture and product thinking is tightly coupled with system-design. I'm particularly drawn to environments that operate at global-scale, developing and maintaining high-throughput, real-time or batch data systems that demand precision, performance and reliability. I value organizations where cross-functional collaboration drives innovation and where infrastructure decisions are made with both the end-user and long-term scalability in mind. I would benefit most from a mentor who is technically insightful, involved in shaping complex architectures and open to sharing not just solutions, but the reasoning behind them.
What are three adjectives that best describe you in the work place?
- Innovative
- Hard-working
- Growth-oriented
What impact will your mentorship have on your career and professional path?
I hope that beyond technical skills this mentorship will give me insight into the strategic thinking that goes into designing impactful products, how experienced teams approach a problem before writing a single line of code, what principles or standards they follow, and how long-term decisions are shaped from the start. I'm eager to understand the mindset behind technical and product choices and to learn how structure, clarity and purpose guide high-quality engineering. I also hope to strengthen my leadership and communication skills by observing how ideas are shared, decisions are made and teams collaborate in high-performance environments.
After participating in the TechWomen program, how will you leverage your mentorship experience to make an impact in your home country?
The mentorship experience will help me improve the quality of my work and enhance the way I approach building impactful, well-designed products. I plan to share the insights and skills I gain with STEM students and young professionals through workshops and mentorship sessions. By sharing both technical practices and the mindset behind them, I hope to inspire others to aim for excellence, think strategically and embrace innovation. My goal is to contribute to a stronger tech ecosystem in my home country by fostering a culture of learning, collaboration and purpose-driven development.
Work History
Years of Full-time Work Experience
6Primary Professional Focus
- Database/systems/networks
- IT systems and/or data analysis
- Software engineer
Current/Most Recent Job
- Title and Company: GIS/Geomatics Data Engineering Project Manager, ANCFCC
- Direct Reports:
- Type: Full-time
- Location: Rabat, Morocco
- Dates: December 13, 2018 –
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Responsibilities:
Design and implementation of scalable data infrastructures for GIS and spatial data systems; applied principles from spatial big data research to improve data workflows and query performance; led data engineering projects from raw data to decision-ready insights, enabling data-driven strategies and operations.
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Skills:
Expertise in designing and optimizing scalable data architectures; proven ability to handle large-scale, multi-dimensional datasets; specialized in spatial analytics, but adaptable to diverse domains
Job #2
- Title and Company: GIS Guest Lecturer, School of Geomatics/Agronomy and Veterinary Institute IAV Hassan II
- Type: Part-time
- Location: Rabat, Morocco
- Dates: January 1, 2022 – June 30, 2022
-
Responsibilities:
Delivered hands-on practical sessions on spatial databases, GIS software and spatial data analysis; guided students in applying spatial concepts to real-world case studies and data-driven projects; provided mentorship and technical support on topics including spatial SQL, data visualization, and GIS tool usage
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Skills:
Instructional skills in breaking down complex concepts into practical, student-friendly exercises; technical proficiency in GIS tools and spatial database management; strong communication skills for effectively conveying technical material and supporting student learning
Education History
Institution #1
- Institution: Agronomic and Veterinary Institute Hassan II
- Degree Awarded: Ph.D
- Major: Spatial Big Data
- Minor:
- Location: Morocco
- Completion Date: December 21, 2024
Institution #2
- Institution: Agronomic and Veterinary Institute Hassan II
- Degree Awarded: Master's
- Major: Geomatics Engineering
- Minor:
- Location: Morocco
- Completion Date:

