Elly Okello Oyugi

Aspiring AI and Data Science Professional

Summary

Aspiring AI and data science professional with a strong foundation in Python, machine learning, and cloud technologies. Equipped with hands-on experience in developing scalable data pipelines, deploying predictive models, and integrating cutting-edge AI solutions. Passionate about leveraging emerging technologies to solve complex business challenges. Eager to contribute innovative ideas and collaborate cross-functionally as part of Refonte Infini's dynamic team.

Skills

Education

BSc Applied Computer Technology

United States International University, 2019-2027 (Expected graduation: September 2027)

Certifications and Professional Development

Digital Badges and Achievements

Microsoft Learn: Profile (XP Points: 143,500/155,899, Top courses: Trigger Azure Machine Learning jobs with GitHub Actions)

DataCamp: Profile (Completed courses: Data Science for Business, Understanding Machine Learning)

Projects

Production-Grade Movie Recommender in Python

  • Developed a movie recommendation system using Python
  • Implemented collaborative filtering algorithms to provide personalized movie recommendations
  • Technologies used: Python, Pandas, NumPy, scikit-learn

Reference: GitHub Repository

Grocify — Mobile Grocery List App

  • Built a full-stack cross-platform grocery management app using Expo (React Native) and TypeScript
  • Implemented user authentication (sign-in / sign-up) and a meal planner with a REST API layer
  • Designed an insights dashboard to track spending categories and item priorities
  • Technologies used: TypeScript, Expo, React Native, NativeWind (Tailwind CSS), Drizzle ORM

Reference: GitHub Repository

Drug Authenticity and Verification App

  • Developed an Android mobile app to verify drug authenticity using QR/barcode scanning
  • Built an admin dashboard for managing drugs, users, order management, and verification history
  • Integrated Firebase Data Connect for real-time data storage and user authentication
  • Implemented reporting and recent verification tracking to flag counterfeit drugs
  • Technologies used: Java, Android SDK, Firebase, Google Data Connect, GraphQL

Reference: GitHub Repository