rugwed09 / industrialassetcare

Use machine learning to predict industrial machine failures. Code and resources for Random Forest-based models. Achieved F1 score ~0.674. Reduce downtime and costs.

💫 About Me:

Hey there 👋! I'm Rugwed, diving deep into the world of data engineering while nurturing a growing interest in AI and ML.

🛠 Current Focus: My work revolves around building robust data infrastructure, utilizing tools like Apache Spark and Hadoop, to lay a solid foundation for advanced analytics and machine learning models.

🌱 Broadening Horizons: I'm actively expanding my expertise into the realms of artificial intelligence and machine learning, exploring how these technologies can enhance data processing and insights.

🤝 Seeking Collaboration: Keen to connect with fellow data engineers and enthusiasts in AI and ML for knowledge sharing and working on pioneering projects.

🆘 Looking for Guidance: Venturing into integrating AI/ML with data engineering, I'm eager for advice, experiences, and best practices from the community.

💬 Open to Discuss: Anything from data engineering challenges, AI breakthroughs, to the practical applications of machine learning in data analysis.

📫 Get in Touch: Email me at [email protected] for collaborations, ideas exchange, or just to chat about the latest in tech.

🎉 Fun Fact: Beyond data, I have a keen interest in exploring the capabilities of AI in creative processes, like music production and art generation.

Let's explore the future of data together!

🌐 Socials:

💻 Tech Stack:

Languages

Hosting/ SaaS

Servers

Databases

ML

DevOps

📊 GitHub Stats: