Nada
Said
Data Analyst
Introduction
About me
Hi, Iām 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 ā 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
š§ Email:-š Phone/WhatsApp: -
š LinkedIn: Nada Beshir
Available for:
Freelance data analysis projects
Full-time/remote opportunities
Response time: Typically within 24 hours.