Hi, my name is
Ramadan Raji.
I build data-driven solutions.
I'm a graduate analytics student specializing in machine learning, optimization, and predictive modeling. Currently, I'm focused on solving real-world business problems using data science and prescriptive analytics.
About Me
Back in 2020, I decided to try my hand at building a custom photography site and tumbled headfirst into the rabbit hole of full-stack development. What started as a side project turned into a passion for building solutions—I've since developed websites for local businesses, built design systems, and discovered that I love solving problems at the intersection of code and data.
That journey led me to analytics. Now I combine software engineering with machine learning and optimization to build tools that solve real business problems. Recently, I completed TheraAssign, a full-stack application that reimagines patient and therapy equipment management for rehabilitation hospitals—streamlining patient care while reducing physician documentation time by 40%.
My main focus these days is building data-driven applications that combine analytical models with clean, user-centered interfaces. Whether it's optimizing loan repayment strategies, predicting public health outcomes, or managing hospital operations, I'm engineering solutions that deliver measurable impact using Python, SQL, React, and modern analytics tools.
Here are a few technologies I’ve been working with recently:
- Python
- SQL
- scikit-learn
- Pandas
- Tableau
- Power BI
- AWS
- PostgreSQL
- MongoDB
- JavaScript
- TypeScript
- React
- Next.js
- Node.js
- Git
- Docker
Where I’ve Worked
Clinical Lab Scientist @ Exact Sciences
November 2023 - Present
- Automated CLIA-regulated laboratory workflows using Python and Node.js, decreasing manual intervention by 60% and improving efficiency by 25% in tumor DNA/RNA analysis (20K+ genes/sample).
- Collaborated with cross-functional teams to integrate Quantitative Allele-specific Real-Time and Signal Amplification methodologies into a CI/CD pipeline, ensuring validated and reliable colorectal cancer assay processes.
- Optimized HMI interface architecture for patient analysis testing, reducing sample processing time by 50% for over 1,000 daily colorectal cancer assays
Independent and Collaborative Builds
Featured Project
TheraAssign
TheraAssign revolutionizes patient and therapy equipment management in rehab hospitals, elevating care and operational efficiency. This innovative software is tailored to transform how rehabilitation facilities manage their resources, ensuring optimal patient care and streamlined equipment handling. Discover the capabilities of TheraAssign in enhancing healthcare excellence and effectiveness in rehab settings.
- React
- NextJs
- JavaScript
- Express
- NodeJs
- MongoDB
- PrismaDB
Featured Project
Food Truck Analytics Pipeline
An end-to-end ELT pipeline analyzing $9.86M in revenue across 450 food trucks in 15 countries. Built a complete data warehouse in Snowflake, transformed data using dbt (staging → marts), and created an interactive dashboard revealing that 91% franchise-owned trucks drive revenue growth. The pipeline demonstrates modern analytics engineering with automated transformations and real-time insights. Explore the live dashboard.
- Snowflake
- dbt
- SQL
- Looker Studio
- AWS S3
- ELT
Featured Project
Student Loan Repayment Optimizer
Student Loan Repayment Optimizer uses Mixed Integer Programming to determine the mathematically optimal payment strategy across multiple loans. By accounting for subsidized vs unsubsidized interest behavior, the model saves $1,279 (20.7% less interest) compared to naive equal-payment strategies. Built with real loan data from Federal Student Aid. Try the optimizer with your own loans.
- Python
- Pyomo
- Mixed Integer Programming
- CBC Solver
- Google Colab
Featured Project
Flu Shot Prediction Model
A machine learning classification model that predicts H1N1 and seasonal flu vaccination likelihood, achieving 0.8466 ROC AUC. Built for a DrivenData competition, the model identifies key predictors like doctor recommendations and health opinions to help public health departments target outreach more effectively. Run the model in Google Colab.
- Python
- scikit-learn
- Random Forest
- Logistic Regression
- Pandas
- Google Colab
Featured Project
Smiling Coast Beauty Salon
Smiling Coast Beauty Salon is one of Wisconsin's premier hair styling destinations, known for Jimbi's unwavering commitment to excellence and outstanding client service. I had the pleasure of collaborating with Jimbi to bring their business vision to life by designing and developing their digital presence. The website not only showcases their range of services but also reflects the salon's dedication to quality and customer satisfaction. Explore the services they offer .
- Js
- JQuery
- Styled Components
- HTML
- CSS
- Google Map API
Featured Project
Community Focus
A sharable time tracking app for teams. Features include the ability to create virtual solo and group working rooms, sharable link timers.
- React
- Express
- Styled Components
- TypeScript
- Web Sockets
What’s Next?
Get In Touch
My inbox is always open. Whether you have a question,you would love for me to be on your team or just want to say hi, I’ll try my best to get back to you!
Say Hello