Data Scientist | AI Specialist
I focus on using data to solve real-world problems. My work includes analyzing datasets, building machine learning models, and creating interactive dashboards that help people make data-driven decisions. I've worked on projects like predicting loan defaults and analyzing NYC taxi data using big data tools. I enjoy combining technical skills with creative thinking to turn raw data into useful insights, and I'm always exploring new areas like Artificial Intelligence to stay up to date with the latest in tech.
About Me
I'm Abdulrahman Salim Saud, a Data Science student at the University of Hafr Al Batin with a GPA of 3.9 / 4.0. I have experience in Python, R, SQL, and tools like Power BI and Tableau, and I've worked on real-world projects involving machine learning and big data analytics. I've completed a course in Artificial Intelligence, interned as a Data Analyst, supported IT services at the university, and taught computer skills at ALFOA Institute. I'm passionate about solving problems through data and enjoy turning complex information into clear insights.
Summary Skills
Programming
Python, R, SQL, HTML, CSS
Frameworks
Pandas, NumPy, Scikit-learn, Matplotlib, Flask, Ggplot2, PySpark
Tools
Power BI, Excel, PowerPoint, MySQL, Tableau
Platforms
Jupyter Notebook, PyCharm, Visual Studio Code
Soft Skills
Problem Solving, Time Management, Communication, Public Speaking, Social Media Creation
Languages
Arabic and English
Experience
Data Analyst Intern
- Analyzed and visualized datasets using Python to support academic research and institutional reporting.
- Designed interactive dashboards to track employee performance metrics.
IT Assistant (Part-Time)
- Installed, configured, and maintained computer systems, networks, and software for faculty and staff.
- Provided technical support and troubleshooting, improving system efficiency and reducing downtime.
Instructor
- Delivered lectures and workshops in computer fundamentals and productivity software.
- Assisted in creating curriculum content and instructional materials to enhance student learning outcomes.
Projects
Loan Default Prediction Model
- Developed a machine learning model to predict loan defaults using real-world data from Lending Club.
- Built and compared Decision Tree, Random Forest, and SVM models; Random Forest achieved 85% accuracy.
NYC Taxi Data Analysis
- Processed and analyzed trip data spanning from 2009 to 2024.
- Explored passenger behavior, seasonal trends, and fare distributions using PySpark big data frameworks.
Student Performance Analysis Project
- Analyzed the Student Performance dataset to understand factors influencing math, reading, and writing scores.
- Female students generally scored higher than males, especially in reading and writing.
My Work Gallery
Panel Discussion for Graduating Students
My Workshop about Intro Into Data Science
Graduation With first honor class
Hackathon Achievement