My Projects

Explore the innovative solutions I've crafted throughout my professional and academic journey.

Project Portfolio

Below you'll find a selection of my work across professional, academic, and personal domains. Click on each category to explore the projects.

Work Projects

Visa Scoring Model for inTulsa

Developed a visa scoring model using data analytics and machine learning to improve inTulsa's talent selection process, implementing Random Forest, Gradient Boost, Decision Trees, and Logistic Regression algorithms.

Python Machine Learning Data Analytics Statistics

MVA Calculator in PowerApps

Recreated a Megavolt-Ampere (MVA) calculator using Microsoft PowerApps, now actively used by field operators at OGE Energy Corp. The project required analyzing an existing system, designing a new solution, and creating comprehensive documentation.

PowerApps Microsoft Power Platform UI/UX Design Technical Documentation

SCADA System Integration

Worked with Supervisory Control and Data Acquisition (SCADA) systems at OGE Energy Corp, gaining valuable insights into power distribution operations and how enterprise-level systems manage critical infrastructure.

SCADA Enterprise Systems Power Distribution System Integration

Academic Projects

HyperX Pulsefire Haste Battery Replacement

Created a comprehensive repair guide for the HyperX Pulsefire Haste gaming mouse, documenting the step-by-step process for battery replacement. Published on iFixit as a resource for the DIY repair community.

Hardware Repair Guide Technical Writing Photography

Linear Regression Analysis - California Housing

Applied simple linear regression concepts to the California housing dataset to predict housing prices based on multiple predictors. Implemented using Python in Google Colab with comprehensive data visualization and model evaluation.

Python Linear Regression Data Science Google Colab

K-Means Clustering on Mall Customers

Applied K-Means clustering to group mall customers based on their behaviors and characteristics. The analysis helped identify distinct customer segments for targeted marketing strategies.

Python Machine Learning K-Means Customer Segmentation

Global CO2 Emissions by Country and Fossil Fuel Source (2002-2022)

Interactive Tableau dashboard visualizing global CO2 emissions data across countries and fossil fuel sources over a 20-year period, enabling analysis of emission trends and comparisons between nations.

Tableau Data Visualization Dashboard Design

US Renewable Energy Production by Source (2015-2024)

Tableau visualization tracking U.S. renewable energy production across different sources over a decade, highlighting growth trends and shifts in the country's energy mix.

Tableau Data Visualization Energy Analytics

Superstore Sales by Sub-Category

Tableau visualization analyzing Superstore sales data broken down by product sub-category, providing insights into revenue distribution and top-performing product segments.

Tableau Data Visualization Sales Analytics

Library Management System

Developed a comprehensive system to manage book inventories, member registrations, and book lending processes. Implemented using a relational database for efficient data management and retrieval.

Database Design SQL Back-end Development System Design

Books Catalog Web Application

Built a web application that allows users to browse, search, and manage a catalog of books. Includes features for adding new books, editing existing entries, and categorizing books by genre, author, and publication date.

HTML/CSS JavaScript Web Development UI Design

Personal Projects

Navia — African EdTech Platform

A comprehensive Flutter-based education technology platform designed for African markets. Supports five user roles (Student, Institution, Parent, Counselor, Recommender) with role-based access control, offline-first architecture, and mobile money payment integration. Optimized for low-end devices.

Flutter Dart Supabase Material Design 3

Housing Price Prediction — MLOps Deployment

An MLOps pipeline for housing price prediction with a Gradio web interface. Uses a rich feature set and auto-trains a Linear Regression model on first run. Emphasizes MLOps best practices: version control, reproducibility, automated training, model persistence, and web deployment.

Python Gradio scikit-learn MLOps

Basic MLOps Pipeline

A basic MLOps pipeline for housing price prediction. Trains a linear regression model on a housing dataset (area, bedrooms, bathrooms) and provides a test script for running predictions on sample inputs.

Python scikit-learn pandas MLOps

Personal Portfolio Website

Designed and developed this portfolio website from scratch to showcase my projects, skills, and professional journey. Features responsive design, smooth animations, and optimized performance.

HTML5 CSS3 JavaScript Responsive Design

Get in Touch

Interested in My Work?

I'm open to discussing potential projects and collaboration opportunities. Feel free to reach out!

  • oumarou.gouba-1@ou.edu
  • +1 (405) 446-5556
  • Norman, Oklahoma, USA