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Rwnaa YasserRY
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Rwnaa Yasser

@rwnaayasser

Computer science student and data analyst skilled in BI, ML, and AI-driven solutions.

Egypt
Message

What I'm looking for

I seek roles where I can apply BI and ML to drive measurable business impact, collaborate cross-functionally, and grow in applied AI and analytics.

I am a computer science student with hands-on experience in data analysis, business intelligence, and machine learning, delivering dashboards and predictive models that inform decision-making. I have completed multiple projects analyzing sales, churn, logistics, and campaign effectiveness using Python, Excel, and Power BI.

I combine technical training (CCNA, AI courses, ALX) with practical freelance and HR experience, having completed 120+ Upwork projects and supported organizational processes in education-focused roles. I build end-to-end solutions from data cleaning and modeling to visualization and insights that guide operational and marketing improvements.

I bring strong communication and leadership skills, experience in applied AI tools and prompt engineering, and a commitment to measurable impact—optimizing KPIs, improving retention, and enhancing process efficiency to support business goals.

Experience

Work history, roles, and key accomplishments

Education

Degrees, certifications, and relevant coursework

TT

Thebes Academy for Computer Science and Information Technology

Bachelor of Science, Computer Science

Activities and societies: Vice Head of HR at MTM; participated in multiple data and ML projects (sales analysis, churn prediction, dashboards, face recognition).

Pursuing a Bachelor of Science in Computer Science with expected graduation in June 2026; coursework and projects focus on data analysis, machine learning, and BI dashboarding.

OS

Om El-mo'mnen Language School

High School Diploma, Mathematics (High School)

Activities and societies: Member of Young People’s Library and participant in I-Debate at Bibliotheca Alexandrina.

Completed High School Diploma in the Math section in 2022 with emphasis on quantitative and analytical subjects.

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