Doha Jaoui

Doha Jaoui

Data Engineer Intern @ Orange Maroc

About

My journey into the world of data began with curiosity, and the more I explored, the more I realized how deeply fascinated I was. The ability to understand and solve real-world problems using data is incredibly exciting to me. This passion led me to pursue a career in data science, where I can continuously explore this amazing field that holds the potential to solve complex issues through data. What inspires me the most is the role that machine learning and deep learning play in this field, allowing me to delve into areas that challenge and motivate me to learn more. Ultimately, my dream is to contribute meaningfully to the world, solving problems and making it a better place to live.

Country

Morocco

City

Casablanca-Settat

Industry

Information Technology & Services

Skill

Communication, Leadership, Deep learning, Machine Learning, Image Generation, Text-to-Image Generation, Stable Diffusion, GAN, Diffusion Models, Data Collection, Data Validation, data validation, computer vision, ai, Haar cascades, OpenCV, face recognition, Intelligence artificielle (IA), open cv, Haar cascades

Experience

Orange Maroc

Data Engineer Intern

Orange Maroc

LinkedIn
2025-3 - 2025-8 · 6 mos

Casablanca-Settat, Maroc

Orange Maroc

Data Science Internship

Orange Maroc

LinkedIn
2024-7 - 2024-8 · 2 mos

Casablanca, Casablanca-Settat, Maroc

alx_africa

Data Science Fellowship

alx_africa

LinkedIn
2023-5 - 2024-8 · 1 yr 4 mos

Casablanca, Casablanca-Settat, Maroc

The 14-month program is meticulously crafted to equip learners with the indispensable skills needed to excel as proficient data scientists. In addition to an intensive focus on technical aspects, the program incorporates a comprehensive 3-month module dedicated to cultivating essential soft skills. Participants delve into areas like leadership, communication, problem-solving, teamwork, self-management, continuous learning, and the art of self-promotion and business development. Throughout the ALX Data Science program, responsibilities include mastering the foundational elements of data science, encompassing data cleaning, manipulation, and visualization. Learners delve into the principles of machine learning, covering supervised learning, unsupervised learning, and reinforcement learning. Emphasis is placed on practical applications using Python for data science, leveraging key libraries such as NumPy, Pandas, Scikit-Learn, and TensorFlow. The program uniquely extends its scope to address real-world challenges, with a focus on areas like fraud detection, customer segmentation, and predictive analytics. This holistic approach ensures that participants not only gain expertise in technical domains but also acquire and refine soft skills, fostering a well-rounded and capable data scientist prepared for the dynamic demands of the field.

LifeLine

Data Science Internship

LifeLine

LinkedIn
2024-4 - 2024-6 · 3 mos

Kigali, Rwanda

Orange Maroc

Data Science

Orange Maroc

LinkedIn
2023-7 - 2023-8 · 2 mos

Casablanca, Casablanca-Settat, Maroc

During my internship at Orange Morocco, I had the exceptional opportunity to work within the Data Science team. My main objective was to analyze anomalies in traffic. This experience allowed me to deepen my knowledge in data analysis and develop practical skills in the field of data science. By working closely with the team, I was able to contribute to the detection and interpretation of traffic irregularities, providing significant insights for operational optimization.

Orange Maroc

Data Science

Orange Maroc

LinkedIn
2022-5 - 2022-7 · 3 mos

Casablanca, Casablanca-Settat, Maroc

Education

Ecole Marocaine des Sciences de l'ingénieur

Ecole Marocaine des Sciences de l'ingénieur

LinkedIn
2022-10 - 2025-9 · 3 yrs
ExploreAI Academy

ExploreAI Academy

LinkedIn

Data Science

2023-9 - 2024-7 · 11 mos
Ecole Supérieure de Technologie de Casablanca

Ecole Supérieure de Technologie de Casablanca

LinkedIn

Genie Informatique

2020-9 - 2022-7 · 1 yr 11 mos

Doha Jaoui's Contact Information

Email

******@***.com

Phone

(**) *** ****

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