Farah Elbendary
Data Analyst
- Years
- 0+
- Based
- Cairo, Egypt
- Status
- Available for work
Senior-year Data Science student seeking a Data Analyst role applying Python, SQL, and ML to transform data into actionable insights.
01—About
Data Analyst
I am a senior-year Data Science student at Cairo University, passionate about turning raw data into clear, actionable insights. My coursework and hands‑on projects have sharpened my skills in Python, SQL, and machine learning, enabling me to build robust analytical solutions. I thrive in fast‑paced, multinational environments, where I apply structured problem‑solving and effective communication to deliver high‑quality results.
Beyond academics, I have gained practical experience as a Customer Care Representative at Vodafone, where I honed my ability to diagnose issues quickly and communicate solutions clearly. This role reinforced my commitment to customer‑centric data solutions and taught me how to adapt to evolving operational demands.
I am eager to bring my analytical mindset, technical expertise, and collaborative spirit to a Data Analyst position, where I can contribute to data‑driven decision making and help organizations unlock the full potential of their data.
02—Selected work
№ 01
City Lifestyle Clustering Analysis
Analyzed a dataset of ~300 cities based on population density and average income using K‑Means and DBSCAN clustering algorithms to identify distinct urban socio‑economic profiles. Assessed dataset clustering tendency using the Hopkins statistic (0.2116) and performed K‑number assessment, identifying K‑Means (K=3) as the optimal model with a Silhouette Score of 0.50.
Python · Pandas · Scikit-learn · Seaborn
№ 02
Hybrid Travel Recommendation System
Developed a hybrid recommendation approach combining content‑based filtering with association‑rule mining to overcome single‑model limitations in travel recommendations. Evaluated system performance across models, establishing the superiority of the hybrid approach through top‑performing Precision@5 (0.1500) and Recall@5 (0.7500) metrics.
Python · Pandas · TF-IDF · FP-Growth · Cosine Similarity
№ 03
Environmental Factors for Optimized Crop Cultivation
Collaborated in a two‑person team to analyze an environmental dataset of ~300 records and classify suitable crop types using Decision Tree, Rule Induction, and Naïve Bayes algorithms. Evaluated model performance and rule interpretability, recommending Naïve Bayes as the primary predictive model (97.33% accuracy) alongside Rule Induction for domain explainability.
Python · RapidMiner · Decision Tree · Rule Induction · Naïve Bayes
03—Experience
2024 — Present
Customer Care RepresentativeVodafone
Resolved customer issues and requests within established business processes in a fast‑paced, multinational corporate environment. Applied structured problem‑solving and effective communication to understand issues, provide appropriate guidance, and support customer experience. Adapted to changing operational requirements while maintaining service quality and accountability in a customer‑focused environment.
04—Practice
Tools & craft
05—Credentials
Education
Bachelor of Computer Science and Artificial Intelligence, Data Science
Cairo University
Certifications
AI & Research Volunteer — Certificate of Training / Achievement & Completion
ATERA & AIESEC Manouba University · 2026
06—Contact
Get in touch