Rana Al-taify

Rana Al-taify

Data Analyst (CRM Specialist) @ Arrow Food Trading, Nespresso Exclusive Distributor EGYPT

About

Data Analyst with hands-on experience in analyzing large datasets (100K+ rows), cleaning data, building dashboards, and extracting actionable insights. Skilled in SQL, Python (Pandas, NumPy, Matplotlib), Excel (Advanced functions & automation), Power BI, Data warehouse, Web scraping, and building ML models using Python . I’ve worked on several practical projects including sales analysis, prediction tasks, performance dashboards, and trend analysis. I enjoy turning raw messy data into clear business insights that help decision-making. Currently seeking Data Analyst or Business Data Analyst roles (full-time / part-time / remote).

Country

Egypt

City

Al Buhayrah

Industry

Information Technology & Services

Skill

Scratch, online sessions , Leadership, Teaching, Child Development, Artificial Intelligence (AI), Online Research, Web Design, Data Storytelling, Visualization, Data Warehousing, Financial Modeling, Microsoft SQL Server, Tableau, Data Modeling, Big Data, Mathematics, Applied Mathematics, Statistics, Relational Databases

Experience

Arrow Food Trading, Nespresso Exclusive Distributor EGYPT

Data Analyst (CRM Specialist)

Arrow Food Trading, Nespresso Exclusive Distributor EGYPT

LinkedIn
2026-2 - Present · 8 mos

Cairo, Cairo, Egypt

Kiddo School

Coding instructor

Kiddo School

LinkedIn
2025-9 - Present · 1 yr 1 mo

Egypt

Delivered interactive coding sessions for students, focusing on building strong programming fundamentals. Explained core concepts such as variables, loops, conditionals, functions, and basic data structures in a simplified and engaging way. Guided students through hands-on exercises and small projects to enhance problem-solving skills. Supported learners with different skill levels and provided continuous feedback to improve their coding performance

Soft Forte

Data Analyst

Soft Forte

LinkedIn
2025-9 - 2025-9 · 1 mo

Cairo, Cairo, Egypt

Developed interactive dashboards using Power BI to visualize business performance and track key metrics. Conducted data cleaning and preprocessing, ensuring data accuracy and integrity for analysis.

National Telecommunication Institute - المعهد القومي للاتصالات

Advanced Data Analyst

National Telecommunication Institute - المعهد القومي للاتصالات

LinkedIn
2025-7 - 2025-8 · 2 mos

Egypt

the Advanced Data Analytics Track at NTI (National Telecommunication Institute), where I gained hands-on experience in analyzing data using Python and SQL, building dashboards with Power BI, and applying statistical techniques to extract business insights. The program also covered essential concepts of Data Warehousing, helping me understand how to manage and structure large volumes of data for analytics purposes.

Digital Egypt Pioneers Initiative - DEPI

Data Analyst

Digital Egypt Pioneers Initiative - DEPI

LinkedIn
2024-10 - 2025-5 · 8 mos

Egypt

Participated in an intensive data analysis training program, covering statistics, Excel, Power BI, and Python. Developed interactive dashboards using Power BI to visualize business performance and track key metrics. Conducted data cleaning and preprocessing, ensuring data accuracy and integrity for analysis. Worked on real-world business case studies, extracting insights to support decision-making. Gained non-technical skills such as presentation techniques, customer communication, and stakeholder management.

Education

Kafr El-Sheikh University

Kafr El-Sheikh University

LinkedIn

Computer and Information Sciences and Support Services

2022-9 - 2026-1 · 3 yrs 5 mos

Studying core computer science concepts including programming, data structures, algorithms, databases, and software development. Gaining hands-on experience through projects and practical assignments. Developing strong problem-solving, analytical thinking, and logical reasoning skills. Building a solid foundation in both theoretical and practical aspects of computer science

Rana Al-taify's Contact Information

Email

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

Phone

(**) *** ****

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