🚀 Software Engineer | Data Scientist | Cloud Enthusiast
🎓 Master's in Computer Science @ North Carolina State University (GPA: 4.0)
I'm passionate about Machine Learning, Cloud Computing, Full-Stack Development, and AI-driven solutions. With experience in software engineering, data science, and cloud technologies, I love building scalable applications and working on cutting-edge AI/ML projects.
💻 Programming: Python, Java, SQL, R
🌍 Web & App Development: React, Flask, Node.js, Flutter
☁️ Cloud & DevOps: AWS, Azure, Kubernetes, Docker
📊 Data & ML: Pandas, Scikit-learn, XGBoost, NLP
🔧 Tools: Git, Jira, Agile, Power BI, Tableau
🔹 Data Scientist Intern @ EDP Renewables (Houston, TX)
- Developed predictive analytics pipelines to optimize diagnostics.
- Automated data workflows using Azure Data Factory & SQL.
🔹 Software Engineer Intern @ NC State Institute of Climate Studies
- Built serverless cloud applications using AWS Lambda & S3.
- Re-architected deep learning models for climate analysis.
🔹 Software Engineer Intern @ The Boeing Company
- Improved code quality and automated testing workflows.
- Led PoC on API test automation with Cypress & Playwright.
🔹 Software Engineer Intern @ Citi Bank
- Developed a web application for real-time transaction monitoring.
- Built a secure API backend using Node.js & JavaScript.
📌 WolfTrack - A job tracking web app with resume analysis & job recommendations.
📌 ChurnTracker - ML model predicting customer churn with ~85% accuracy.
📌 CourseConnect - Smart student learning tracker using Java & MySQL.
📌 ParaphrasingTool - AI-powered NLP tool for low-resource language translation.
📌 DollarBot - Telegram chatbot for expense tracking & automated reports.
🌱 Always learning, always growing. Excited about collaborating on interesting projects. Let's build something awesome together! 🚀