ABOUT ME
Hello! I’m Suzan Diab.
My journey in data analytics began out of a fascination for how data shapes decisions in business, society, and everyday life. I thrive on uncovering patterns and insights that aren't immediately obvious. Beyond data, I’m passionate about flag football and cars—experiences that often provide me with a fresh perspective and innovative approaches to my projects.
SKILLS
Explore specialized data analysis services designed to transform your data into strategic assets. Using SQL, Python, and Tableau, I deliver customized solutions that cater to your specific needs. From exploratory analysis to predictive modeling and dynamic visualizations, let's harness your data for informed decision-making and business growth.
Data Analysis
Leverage SQL for efficient data extraction and Python for precise cleaning. I help businesses navigate their data, identify trends, and unlock opportunities to enhance performance and profitability.
Predictive Modeling
Utilize Python’s Pandas, NumPy, and Scikit-Learn for predictive modeling to forecast trends and behaviors accurately. My services include thorough model validation to ensure reliability tailored to your business needs.
Data Visualization
Transform your data into visual stories with Tableau and Python’s Matplotlib and Seaborn. I create interactive dashboards and reports that showcase key metrics and offer actionable insights for stakeholders.
PROJECTS
Citi Bike Analysis
Conducted a descriptive analysis of bike-sharing data in New York City to address distribution issues and improve service availability, using Python for data integration and visualization, and creating an interactive dashboard with Streamlit to present findings and recommendations.
Rockbuster Movie Rental
Conducted an analysis of Rockbuster Stealth's movie rental data to devise a strategy for transitioning the company from physical locations to an online platform, utilizing SQL for database querying and analysis, Excel for data manipulation and calculations, Tableau for data visualization, and PowerPoint for presenting the findings.
