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I’m a seasoned professional with over 6 years of experience in the dynamic fields of Data Science, Machine Learning, and Backend Engineering. My journey has been fueled by a passion for solving complex problems and creating tangible value for both customers and businesses.

🔍 Data Science and Machine Learning:

• I’ve honed my skills in Python, leveraging it to extract insights from data, build predictive models, and optimize decision-making processes.

• Whether it’s predictive analytics, natural language processing, or recommendation systems, I thrive on turning raw data into actionable intelligence.

🚀 Backend Engineering:

• My proficiency extends to Java and Spring Boot. I’ve architected robust backend systems that power applications, ensuring seamless performance and scalability.

• From designing RESTful APIs to implementing microservices, I relish the challenge of building efficient and reliable software.

🌟 Impact-Driven Approach:

• I’m not just about code; I’m about impact. I seek out projects that directly influence customer experiences and contribute to business growth.

• Whether it’s optimizing supply chains, enhancing user interfaces, or streamlining processes, I’m committed to making a difference.

🛠 Toolbox:

• AWS: I navigate the cloud landscape to deploy scalable solutions.

• Docker and Kubernetes: I orchestrate containerized applications for seamless deployment.

• Kafka: I harness real-time data streams for event-driven architectures.

• Postgres: I design and manage databases to store critical information.

• REST and gRPC: I build robust communication channels for distributed systems.

🌐 Let’s Connect!:

If you’re passionate about innovation, data-driven decisions, and impactful technology, let’s connect! Feel free to reach out—I’m always up for a stimulating conversation.