🎓 Ph.D. in Computational Mechanics | Master's in Data Science
💡 Passionate about AI, Machine Learning, NLP, Deep Learning, and Predictive Modeling, with a strong engineering background and hands-on experience in research-driven projects.
- 🧠 Idea Is All We Need – AI-powered research discovery and literature analysis.
- 🤖 Drone Stabilization using GNNs & DRL – Graph Neural Networks and Deep RL for autonomous drone control.
- 🩺 Heart Disease Risk Prediction – ML models to predict heart disease and extract key risk factors.
- 📄 COVID-19 Research Topic Modeling – LDA-based topic modeling on COVID-19 research papers.
- 📈 Campaign Contribution Winner Prediction – Predicting election outcomes using campaign finance data.
- 🛠️ Statistical Analysis on Open Policing Data – Hypothesis testing and inference on open policing datasets.
- 🛰️ SpaceX Launch Success Prediction – ML models predicting rocket landing success based on mission parameters.
- 🔎 Fake Review Detection – Detecting fraudulent product reviews with machine learning.
- Languages & Tools: Python, R, SQL, PyTorch, TensorFlow, Spark, scikit-learn, Hugging Face
- Domains: NLP, Computer Vision, Time Series Forecasting, Statistical Modeling, Predictive Analytics
- Interests: AI for Healthcare, Autonomous Systems, Research Discovery Tools
- 🔗 LinkedIn 💻
⭐️ Check out my repositories for more projects on AI, ML, and data-driven solutions!