Multiverse x Thrive Apprentice: Product Development
at Verizon

Multiverse, in partnership with Verizon's Thrive program, offered me an exceptional opportunity to develop my career in technology. The program began with an intensive three-month bootcamp that provided comprehensive training in software engineering fundamentals, end-to-end project development, and the software development lifecycle (SDLC).

Following the bootcamp, I joined Verizon's Product Development team where I applied my newly acquired skills to integrate AI/ML solutions into existing programs. This role allowed me to put into practice everything I learned during the bootcamp phase, while working on cutting-edge technology solutions.

Below are some of the impactful projects I've had the privilege to work on during this enriching experience:

Featured Projects

Customer Churn Prediction & Visualization

Complete customer churn prediction solution for a telecom dataset tuned XGBoost Classifier model.

  • Engineered a user-interactive web application using Streamlit
  • Geospatial churn mapping with Plotly for visual insights
  • Live prediction tool for new customers
  • Identification of key churn risk factors
View on GitHub

Paper Trail

A collaborative note-taking application developed as part of a team project, showcasing full-stack development and deployment expertise.

  • Led frontend development while collaborating with backend developer
  • Containerized application using Docker for consistent deployment
  • Deployed and hosted on Render for reliable cloud service
  • Implemented real-time collaboration features

Contributors: Rasheem Khan

View on GitHub

ChitChat

A real-time chat application built with Flask that enables seamless communication between users, featuring secure authentication and modern web technologies.

  • Implemented Google OAuth for secure user authentication
  • Integrated Socket.IO for real-time messaging capabilities
  • Built responsive UI for cross-device compatibility
  • Scalable architecture for multiple concurrent users

Contributors: Adrian Burke

View on GitHub

Inventory Management Application

A full-stack inventory management system that provides an intuitive interface for managing and tracking items with comprehensive CRUD operations.

  • Built with React for responsive and interactive user interface
  • Node.js and Express.js backend with Sequelize ORM for database management
  • Interactive forms for seamless item addition and updates
  • One-click item deletion with confirmation for data safety
  • Deployed on Render for reliable cloud hosting

Contributors: Evan Rosas, Clement Ndimuangu, Kofi Boateng

View on GitHub

Analysis AI

A full-stack AI-powered analytics platform that enables users to upload tabular datasets and receive intelligent insights through advanced data analysis and machine learning capabilities.

  • React frontend with intuitive file upload and data visualization interface
  • Python backend leveraging Langchain framework for Gemini API integration
  • DuckDB database implementation for efficient RAG (Retrieval-Augmented Generation)
  • Automated machine learning pipeline using Python libraries for predictive modeling
  • Real-time AI analysis and insights generation on user-uploaded datasets

FandomAI

An AI-powered internal tool developed for Verizon's 30-day free trial program to analyze and predict prospect customer behavior and preferences.

  • Implemented machine learning models for customer behavior analysis
  • Developed predictive analytics to optimize trial conversions
  • Built data pipelines for real-time customer insights
  • Enhanced targeting accuracy for trial program outreach

Automated Device Data Processing Platform

A full-stack web application that processes over 750,000 device records with a 95% reduction in processing time (Internal Verizon Tool):

  • Python-based asynchronous backend for high-throughput data ingestion
  • Interactive dashboard with Plotly for real-time processing metrics
  • User-friendly interface for non-technical stakeholders to manage batch jobs
  • Earned recognition award for significant business impact

Technical Skills

Languages

  • Python
  • JavaScript
  • Java
  • SQL
  • HTML5 & CSS3

AI/ML & Data Science

  • Large Language Models (LLM), Generative AI, Agentic AI
  • Retrieval-augmented generation (RAG), Model Context Protocol (MCP)
  • Langchain, Scikit-learn, Pandas, NumPy, XGBoost
  • Matplotlib, Seaborn, Plotly
  • Machine Learning (Supervised & Unsupervised)

Frameworks & Platforms

  • Flask, Streamlit, React, Spring Boot, Node.js
  • Google Cloud Platform (GCP), BigQuery
  • Git, Docker
  • CI/CD (GitHub Actions, Jenkins)
  • Agile/Scrum, Test-Driven Development (TDD)