Hello! I'm a passionate Data Scientist and Machine Learning Engineer. I'm currently pursuing my Master's in Engineering Data Science at the University of Houston, where I focus on building intelligent systems that solve real-world problems. I am particularly interested in computer vision, NLP, and deploying robust machine learning models.
- I’m currently working on predictive models for sustainable infrastructure and material science.
- Continuously learning and experimenting with PyTorch, MLOps workflows, and generative AI.
- Looking to collaborate on AI/ML research, computer vision projects, and data-driven applications.
- Ask me anything about machine learning, data science, Python, and cloud technologies.
Key Concepts
Core Libraries & Data Manipulation
Deep Learning & NLP
Specialized Libraries
- Engineered predictive ML models for concrete strength and corrosion, achieving up to 92% accuracy. [cite: 14]
- Applied ensemble learning, kinetic modeling, and neural networks to improve model robustness. [cite: 15]
- Developed a Tourism Demand Forecast Web Service using ARIMA and LSTM with 85% prediction accuracy. [cite: 20]
- Designed a backend pipeline using Flask and SQL to handle real-time user queries via a RESTful API. [cite: 21]
- Engineered and deployed interactive full-stack web modules using HTML, CSS, JavaScript, and Python. [cite: 24]
- Enhanced user navigation, resulting in a 25% increase in user engagement. [cite: 25]
- [cite_start]Designed a CNN-based diagnostic system to detect pneumonia from chest X-rays with high accuracy. [cite: 29]
- Published in the IEEE 5th INCET 2024 conference. [cite_start]DOI: 10.1109/INCET61516.2024.10592975 [cite: 30]
