Farron – Python, AI, MySQL

The project predicts beehive health using AI models (ANN, XGBoost) trained on hive and environmental data.

• Designed and implemented a robust data processing pipeline.
• Led the development team to ensure timely delivery.
• Facilitated agile ceremonies and acted as Scrum Master to drive team productivity.
• Defined and executed the AI strategy aligned with project goals.
• Architected and deployed a secure, scalable cloud environment for the client.

The project is focused on migrating millions of fragmented medical records into a centralized cloud environment, streamlining data access for analysts and data scientists across the organization.

• Designed and implemented scalable ETL pipelines using Python, SQL, and AWS services for seamless data ingestion and transformation.
• Orchestrated the migration of legacy systems to Snowflake, enabling secure, high-performance analytics at scale.
• Collaborated with data analysts and scientists to ensure the platform met performance, compliance, and usability standards.
• Maintained rigorous data governance practices to uphold privacy, integrity, and compliance across all cloud-hosted assets.

It's software solutions for creating smart tools for visualizing insights.

• Designed and built scalable ETL pipelines to process millions of records daily, boosting data integration and system performance.
• Led cloud infrastructure development using AWS, ensuring cost-effective, secure, and highly available environments for enterprise apps.
• Developed data-driven tools and visualizations that empowered stakeholders to extract insights faster and make smarter decisions.
• Optimized SQL queries for large-scale databases, reducing execution time by 50% while improving system efficiency.
• Strengthened system security through encryption strategies & role-based access controls, ensuring robust data protection measures.

Enterprise-grade solutions that streamlined machine learning workflows and drove innovation across digital platforms.

• Designed and deployed scalable machine learning systems using Kubernetes to ensure reproducibility, reliability, and efficient model delivery.
• Led cross-functional enterprise Scrum teams to develop and launch digital products, directly contributing to a 25% increase in customer engagement.
• Developed technical roadmaps and analytics solutions aligned with business goals, integrating structured and unstructured data to improve predictive model performance.