INTRODUCTION.
As a trained Data Analyst, Aschraf bridges the gap between a robust academic foundation and practical execution. He specializes in structuring and processing complex datasets to provide stakeholders with a clear basis for decision-making. He refined his technical proficiency in Python and SQL during his B.Sc. in Data & Information Science. To complement this, he expanded his Data Science expertise within an international team during an A.I. Bootcamp, where he focused on the real-world application of Machine Learning projects. What sets Aschraf apart from purely technical analysts is his keen eye for detail and design. He leverages this holistic understanding to build dashboards in Tableau, Power BI, and Excel that are not only functional but also intuitive and visually structured. Today, he strengthens the team at The Data School, developing best-practice solutions that combine technical depth with a clear, user-centric presentation.
"I am a data analyst by passion. My name is Aschraf Aouina, and my goal is to translate the language of data into valuable insights that create real impact. I meet new challenges with curiosity and enthusiasm, viewing them as opportunities to learn, grow, and develop innovative solutions. My ambition is to use data-driven insights not only to optimize processes but to deliver measurable, positive change."
FEATURED WORK..
You can access my Successful Application Dashboard here. Further projects can be found here.
KEY COMPETENCIES.
Analytical Thinking
Problem-Solving Skills
Agile Methodology
Presentation & Communication
Adaptability & Continuous Learning
Hands-on Mentality
Iterative Problem Solving
Team Collaboration
HARD SKILLS.
Tools for data visualisation
Tableau
Power Bl
Matplotlib
Seaborn
Machine Learning tools
Supervised/Unsupervised Learning, Deep Learning
Hugging Face
Programming
Python (Pandas, NumPy, Gradio, Scikit-learn)
Bash
Databases
SQL, MySQL, PostgreSQL
Supabase, Pinecone
Microsoft
Excel
Word
Power Point
Teams
Others
LM Studio
Jira
Confluence
GitHub
Slack