🔭 I’m currently working on:
Developing predictive models and data-driven insights for real-world applications, with a focus on machine learning and AI projects. My recent work includes a movie success prediction model and a health insurance premium adjustment model based on climate-induced risk factors.

👯 I’m looking to collaborate on:
Data science competitions, open-source projects, and research initiatives, especially in machine learning, reinforcement learning, and AI-driven decision-making systems. I’m always open to joining forces on interesting Kaggle competitions!

🤝 I’m looking for help with:
Exploring advanced reinforcement learning techniques and multi-agent systems. I’m also interested in learning more about deploying scalable machine learning pipelines.

🌱 I’m currently learning:
Procedural world generation with Three.js and reinforcement learning strategies for game-like environments. Additionally, I'm diving deeper into the nuances of non-stationary multi-armed bandit problems.

💬 Ask me about:
Anything data science! I have experience in predictive modeling, data visualization, and machine learning deployment. I’m also active on Kaggle, where I contribute notebooks, participate in discussions, and collaborate on competitions.

⚡ Fun fact:
I’m fascinated by the intersection of AI and global supply chain resilience, and I’m conducting research on how digital technologies like AI and blockchain can enhance supply chain robustness.