Built 3D point cloud visualization system using Python, Open3D, and matplotlib with automated reporting and statistical analysis
Led full-stack development and DevOps deployment using Microsoft Azure
Developed Python GUI tools with Tkinter, threading, and i18n support, featuring custom animations
Created dynamic React components for machine data visualization and vehicle management
Designed and tested RESTful APIs with Node.js, Express, PostgreSQL, and Sequelize
Implemented automated testing with Jest and Cypress; deployed via Azure Kubernetes
Leveraged Power BI and analytics tools to extract insights from machine data
🔬 Technologies: Python, Open3D, matplotlib, Three.js
📊 Features: Real-time clustering, automated analysis, statistical reporting
âš¡ Performance: Processing 5K+ points with sub-second response times
Automated document linking and data entry using Puppeteer, improving efficiency and accuracy
Audited invoices and tax returns to identify discrepancies and resolve client-vendor disputes
Conducted financial analysis and supported compliance across multiple advisory engagements
🤖 Automation: Puppeteer web scraping, document processing
📋 Analysis: Invoice auditing, tax compliance, financial reporting
âš¡ Results: 95%+ accuracy with 300+ hours saved quarterly
Master of Data Science at University of Pittsburgh School of Computing and Information (2025-2027)
Focus: Data Modeling/Warehousing and AI in Data Management
Have a project in mind or want to discuss opportunities? I'd love to hear from you. Drop me a message and let's create something amazing together!