Hello, selamat datang! Nama saya...

Wardiyah Rammazy

CS & Statistics Student at Bradley University

wrammazy@mail.bradley.edu

About Me

I'm a dual Computer Science and Statistics student passionate about technology and its potential for positive impact.

I’m a driven junior at Bradley University getting two degrees in Computer Science and Statistics. I first discovered my passion for technology in high school and since then, I've dedicated myself to hands-on learning through personal projects, coursework, and professional experience. Through my involvement with organizations like Rewriting the Code and Kode With Klossy, I'm committed to empowering other women in tech and promoting computer science education.

Because of my interest in math, I’ve focused my electives on Data Science topics and have hands-on experience in full-stack web development, AI, and data analysis. When I'm not looking up documentation, I also enjoy reading, crocheting, journaling, language learning, and spending time with family.

Skills & Tech Stack

Languages

Java, C++, C#, Visual Basic, Python, JavaScript, TypeScript, HTML, CSS, R, SQL

Frameworks & Libraries

.NET, React, Blazor, Pandas, Matplotlib, Seaborn, NLTK, TensorFlow, Keras, SciKitLearn, Numpy

Tools & Platforms

Looker Studio, Git, Visual Studio, VSCode, SQL Server, Jupyter Notebook, Figma, Vercel, Azure DevOps, Jira, Notion, Slack

Recent Work

HoodWatch - Neighborhood Safety App

Figma, HTML, CSS, React, Expo SDK, MongoDB, Vercel, GitHub, TypeScript

The HoodWatch app was created to address the problem of common safety issues often going unreported. The project's solution was to create a safety app that allows users to report local issues in real time. As the Frontend Lead and Researcher for this project, I was responsible for designing and implementing the front-end using Expo SDK and React Native. I set up the project and navigation, implemented login and account verification screens, and ensured the app's accessibility.

Twitter Sentiment Analysis

Python, Jupyter Notebook, Google Colab, NLTK, Scikit-learn, Pandas, Seaborn

This project analyzed tweet sentiment based on different tweet characteristics. My role involved optimizing Random Forest and Naive Bayes models to predict sentiment and reshare likelihood. I also created Word Clouds with NLTK and analyzed a second dataset. The Naive Bayes binary model achieved a 93.31% accuracy with oversampling and a 91.12% accuracy with undersampling.

Review Sentiment Regression Neural Network

Python, pandas, numpy, scikit-learn, tensorflow, gensim

This project follows the complete machine learning lifecycle to predict the sentiment of book reviews. I implemented and evaluated a Logistic Regression model and a Neural Network, comparing their performance on a binary classification task. The project involved text preprocessing, data cleaning, and hyperparameter tuning to optimize model performance.

To see more, visit my GitHub. I also casually post articles on Substack at DevoRamma.

Awards

Bradley University Dean’s List - Recognizes students with a GPA of 3.5 or above on a 4.0 scale

Fall 2023
Spring 2024
Fall 2024
Spring 2025

Congressional App Challenge 2022

Leadership & Experience

Web Development Intern | Levi, Ray & Shoup, Inc.

May 2025 - PRESENT

Enhanced UX/functionality for legacy .NET products and developed REST APIs using HTML, CSS, JavaScript, and Visual Basic.
Optimized database queries, reducing execution time by over 90%.
Developing an AI service to generate email templates, streamlining communication workflows for clients.

Teaching Coordinator | Inspirigirl

July 2024 - December 2025

I organize educational programs and create curricula on Python, Java, and Web Development alongside fellow board members to provide free Computer Science education.

Coding Instructor | Bradley DAPCEP (Detroit Area Pre-College Engineering Program)

Aug 2023 - PRESENT

I develop and deliver curriculum for two five-week "Intro to Coding" courses using Scratch and Blockly, guiding over 45 students through final projects and introducing them to foundational coding principles.

Site & Logistics Coordinator | Bradley University SERVE

Aug 2023 - PRESENT

As part of the university's main volunteering organization, I organize and facilitate 16+ annual member meetings, manage volunteer teams, and coordinate with local nonprofits to host events for Bradley University students.

Website Development Lead, Tech Fellow | Propel2Excel

Sep 2024 - Dec 2024

Led a team of developers to optimize website performance on Wix using HTML, CSS, and JavaScript. Improved team efficiency by 50% by aligning strategic goals and tasks across the team.

Data Science Instructor Assistant | Kode With Klossy

March 2024 - July 2024

Achieved a 90% engagement rate among 200+ scholars by customizing learning materials and coordinating daily announcements. I led coding practices in Python, SQL, and Looker Studio, resulting in a 100% project completion rate for the cohort.

Other milestones in my tech journey

how I'm pursuing my passion in tech

2022

Accepted into the Kode With Klossy Web Dev Scholar program for a two-week intensive.
Won 1st place in the Congressional App Challenge using my new web development skills.

2023

Gained professional experience volunteering to reinstate a high school website, learning C#, SQL, and Azure DevOps.
Accepted into the Kode With Klossy program a second time as a Data Science scholar.
Joined the Society of Women Engineers and participated in social and professional events.

2024

Became a Kode With Klossy Instructor Assistant to give back to the community.
Joined Rewriting the Code, a community for women in tech, for summer networking and learning.
Accepted into Codepath's Technical Interview Prep course, a 10-week program focused on algorithms and data structures.
Chosen as one of 100 women for the Society of Women Engineers Collegiate Leadership Institute to improve leadership and communication skills.

2025

Took Intro To Software Engineering as a sophomore and built HoodWatch with my team. Was my first time following an Agile process, as well as taking the lead for front end development. I gained valuable experience in creating user stories, mapping out functional requirements, and being a team player, all while delivering results.
Selected for the 12-month Break Through Tech AI program at Cornell Tech, engaging in hands-on projects with machine learning and data science.
Worked my first ever internship as a Web Development Intern at Levi, Ray & Shoup, Inc., where I developed new features and enhanced UX for new & legacy products. I gained valuable experience navigating large codebases, developing my product understanding, and working in a corporate environment.

Beyond the Code

My interests outside of technology are often rooted in a passion for community, sustainability, and continuous learning.

Sustainability & Community Activism

I am an active member of my campus community, currently working on a team to bring pollinator gardens to the university and establish a lasting educational program. We've presented our research at the school's research expo and the Sustainability Research and Innovation Congress 2025 to inspire students to care about climate change.
Sewing & Sustainable Fashion

As a member of Sewsation, a campus initiative founded to cut down on clothing waste, I volunteer my time to mend clothes for faculty, students, and community members. I am passionate about using my skills to extend the life of garments and prevent them from ending up in a landfill.