Nada Said Taha Beshir

Nada Said Data Analyst Introduction About me Hi, I’m Nada Said Taha, a Data Analyst with a passion for transforming raw numbers into actionable business insights. With experience in SQL, Python, and data visualization tools, I specialize in uncovering hidden patterns in complex datasets to drive strategic decisions. Personal projects My recent analysis of Amsterdam's Airbnb market demonstrates how I turn data into value – identifying pricing trends, optimizing host strategies, and helping travelers find ideal stays. Whether building interactive dashboards or performing deep statistical analysis, I bridge the gap between information and impact. Education Arab Open University Bachelor of Computer Science- Graduation Project: Disease Prediction from various symptoms using machine learning. Grade: Very Good Professional Certifications: Data Analysis for Freelance (120 hours) Covered: SQL, Python (Pandas), data visualization, and freelance project management. Applied skills to real-world datasets (e.g., Airbnb market analysis). Huawei Big Data (80 hours) Focused on: Big Data processing, Hadoop, and cloud-based analytics. Completed hands-on projects in large-scale data handling. NTI Final Project Airbnb Amsterdam Listing Analysis Project Overview This project involved analyzing Airbnb listing data for Amsterdam to uncover insights about pricing trends, neighborhood popularity, host performance, and guest preferences. The goal was to help travelers, hosts, and investors make data-driven decisions by exploring key metrics like availability, pricing, reviews, and amenities. Challenges & Solutions Data Import Errors: Fixed SQL Server timeout and data type mismatches by adjusting batch sizes and schema settings. Missing Values: Handled null ratings and availability data with imputation. Key Features & Analysis Neighborhood Insights: Identified the most popular and expensive neighborhoods in Amsterdam. Pricing Trends: Analyzed average prices by property type, room type, and location. Host Performance: Compared Superhosts vs. regular hosts in terms of ratings and occupancy. Amenities Impact: Examined how amenities influence pricing and guest satisfaction. Occupancy & Revenue: Estimated monthly revenue potential based on pricing and availability. Key Findings Centrum-West and Centrum-Oost are the most expensive neighborhoods. Entire homes generate ~80% higher revenue than private rooms. Superhosts maintain 4.8+ avg ratings compared to 4.6 for regular hosts. istings with "Wifi" and "Kitchen" have higher occupancy rates. Offered Services Business Intelligence & Data Visualization Transform raw data into interactive dashboards (Power BI, Tableau) Track KPIs and create automated reports for stakeholders Identify trends and opportunities through clear visual storytelling SQL & Data Exploration: Extract and analyze large datasets with optimized SQL queries Perform deep-dive investigations to uncover key insights Build data models to support business decisions Technical Skills & Tools Data Analysis & Visualization SQL (Complex queries, joins, optimization) Python (Pandas, NumPy, Matplotlib/Seaborn) Power BI / Tableau (Interactive dashboards) Database Management Microsoft SQL Server (SSMS, data import/export) MySQL / PostgreSQL Soft Skills Problem-solving & critical thinking Data storytelling & visualization Collaborative project management Let's Work Together 📧 Email:-📞 Phone/WhatsApp: - 🔗 LinkedIn: Nada Beshir Available for: Freelance data analysis projects Full-time/remote opportunities Response time: Typically within 24 hours.