Master Brains

Actively engaged in a comprehensive Master's program, developing advanced skills in data analytics, data mining, and business intelligence. Applied theoretical knowledge to practical projects, demonstrating proficiency in various analytical tools and methodologies.

Streamlined Helm deployments with templating services, cutting configuration errors and deployment time by 30%. Enhanced infrastructure monitoring with Splunk/ELK, improving system visibility and issue detection, which reduced incident resolution time by 40%.

Utilized Python for data manipulation and statistical analysis, alongside SQL for robust data querying and extraction, to generate key member insights. Developed and presented data-driven reports using Microsoft Excel, directly informing strategic decision-making and enhancing operational efficiency.

Utilized Datadog, Prometheus, and Grafana to collect and visualize metrics, improving system monitoring and issue resolution, which reduced downtime by 25%. Resolved a critical network incident with blockchain node downtime, minimizing financial losses by 30% and ensuring business continuity.

Designed and implemented Azure-based cloud infrastructure, optimizing services for performance and security, which supported future scalability and improved operational efficiency by 30%. Containerized applications with Docker and Kubernetes, enhancing deployment speed by 25% and simplifying application management.

Developed and maintained a Python Rasa-based chatbot service, creating dialogue flows and NLP models, which improved user engagement by 25%. Designed and implemented RESTful APIs, enhancing chatbot functionality and data exchange, reducing integration issues by 20%.

Completed a Bachelor of Science in Computer Science, gaining foundational knowledge in various aspects of computing. Developed skills in programming, algorithms, and software development.