About Me

Who Am I?

Hi I'm Gloria Mafor I am a Computer Science graduate from Cleveland State University, Class of 2025, with a strong interest in software engineering, particularly backend and frontend development, as well as data science roles that align with my technical background and coursework. I am also developing an ongoing interest in DevOps and cloud engineering, and I am eager to deepen my experience in this area as opportunities allow.

I enjoy building reliable, user-focused applications and data-driven systems, and I have hands-on experience designing and implementing machine learning models, developing backend services, and creating full-stack applications. Through my coursework and personal projects, I have worked with Python, Java, SQL, Swift, TypeScript, JavaScript, HTML/CSS, Linux, and modern web technologies, and I am increasingly interested in how these systems are deployed, scaled, and maintained in cloud environments.

Backend Development

Cloud & Deployment

Machine Learning & Analytics

Data-Driven Applications

I’m happy to share some of the projects I’ve built
across software, data, and cloud systems.

Click here to view my projects
What I do?

Here are some of my expertise

Backend Development

I build backend services and APIs using Python, Java, and SQL, focusing on application logic, data handling, and system intergration.

Data-Driven Applications

I develop end-to-end applications that integrate data processing, backend logic, and user-facing features into functional tools.

Machine Learning

I implement and evaluate machine learning models including classification and neural networks, using performance metrics such as precision, recall, and F1 score.

Data Engineering

I design basic data pipelines using SQL and MongoDB to collect, transform, and store structured and semi-structured data for analysis and applications.

Big Data & Search

I build foundational search systems using large text datasets, implementing inverted indexing, TF-IDF scoring, and similarity ranking across SQL and MongoDB.

Cloud & Deployment

I deploy and run applications using Docker, Linux, and AWS fundamentals, focusing on environment setup and application execution in cloud contexts.

Technical Projects (coursework + personal projects combined)
Major Systems Built (ML models, search engine, data pipelines, full-stack apps)
Years of Programming Experience (since early college / high school)
Core Technologies Used (Python, Java, SQL, MongoDB, Docker, AWS, etc.)
Skills

My Skills

Technical Skills I Use to Build Real Applications

Programming

  • Python
  • Java
  • C / C++
  • SQL
  • Javascript

Data Science & Machine Learning

  • Pandas, NumPy
  • Scikit-learn
  • Exploratory Data Analysis (EDA)
  • Data Cleaning & Preprocessing
  • Feature Engineering
  • Supervised Learning (Classification & Regression)
  • Unsupervised Learning (Clustering)
  • Artificial Neural Networks
  • Decision Trees
  • Model Evaluation
  • Cross-Validation

Database & Data Storage

  • SQL
  • MongoDB

Web Development

  • HTML/CSS
  • React
  • Next.js
  • Flask
  • FastAPI
  • Streamlit

Cloud, DevOps, & Tools

  • AWS
  • Git/Github
  • Docker
  • Bash

All listed skills are demonstrated through my coursework and personal projects.

Education

Education

Cleveland State University, Washkewicz College of Engineering — Cleveland, OH (August 2022 - December 2025)

  • Honors award: Magna Cum Laude
  • Cumulative GPA: 3.71/4.0
  • Mathematics Minor
  • Relevant Coursework: Data Science, Big Data Systems, Operating Systems, Software Engineering, Database Systems, Data Structures & Algorithms, Computer Networks, Computer Architecture
  • Selected Projects: Inverted Index & TF-IDF Search Engine, ML Classification Models, SQL & MongoDB Data Pipelines

Brecksville Broadview Heights High School — Broadview Heights, OH (May 2022)

  • Honors award: Magna Cum Laude
  • Cumulative GPA: 3.9/4.0
Experience

Work Experience

The Global Career Accelerator Cleveland, OH

Data Engineer Intern (Remote) January 2024 - May 2024

  • Analyzed, visualized, and reported data findings using Python and Jupyter Notebook to uncover trends and insights
  • Conducted exploratory data analysis (EDA) and summary statistics to analyze user behavior and motivation across multiple industries
  • Created clear and impactful data visualizations using Tableau to communicate analytical results to stakeholders
  • Collaborated with a globally distributed team to complete data analysis tasks and deliver project outcomes

Cleveland State University Cleveland, OH

Engineering Peer Teacher January 2023 - May 2023

  • Supported undergraduate engineering students in introductory computing courses by explaining core programming concepts and problem-solving strategies
  • Assisted students with Python-based assignments, debugging, and understanding foundational computer science principles
  • Reinforced topics such as variables, control flow, functions, and basic data structures through one-on-one and group instruction

Academic & Personal Projects

August 2022 - December 2025
  • Designed and implemented machine learning models as part of data science and artificial intelligence coursework, applying techniques such as decision trees, neural networks, and model evaluation
  • Worked with relational and NoSQL databases (SQL, MongoDB) to store, query, and analyze structured and semi-structured data
  • Developed backend applications using Python and Java to handle data processing, API integration, and server-side logic
  • Developed web applications using HTML, CSS, JavaScript, and modern frameworks to create responsive user interfaces and dynamic content
  • Applied version control with Git and collaborated on team-based projects using agile-style workflows, documentation, and presentations
My Projects

Projects

Food Recommendation Generator

Python + Flask | AWS Lambda | AWS API Gateway

100 49

Whitman Behavioral & Wellness Website

Wordpress(PHP) | AWS Lightsail

100 49

Movie Recommendation AI System

Python + OpenAI, TMDB API, CSS

100 49

Read My Blog

Blog

HTML5 Bootstrap Template by colorlib.com
December, 2025 | Data Science | 4

Marital Satisfaction: A Machine Learning Approach

Exploring the factors that influence marital satisfaction through a machine learning lens.

HTML5 Bootstrap Template by colorlib.com
September, 2024 | Web App | 4

How I Built My Food Recommendation Generator

Here, I explained the steps I took to build my food recommendation generator project.

HTML5 Bootstrap Template by colorlib.com
November, 2025 | Web App | 4

The Creation Of My Movie Recommendation AI

Step-by-step guide on how I was able to build my movie recommendation AI.

Whitman Behavioral Wellness website preview
January, 2026 | Wordpress Website | 4

Building a Client Website with WordPress, AWS Lightsail, and DNS Configuration

How I planned, launched, and configured a client website with WordPress hosting, plugins, and production DNS setup.

Get in Touch

Contact