Senior Data Scientist & Full Stack Developer

End-to-End Machine Learning System Development

Led a complex data engineering project, delivering a comprehensive machine learning solution from conception to deployment with strict security and performance requirements.

Technical Achievements

Machine Learning & Data Engineering

• Development of a machine learning solution with complex algorithms and statistical modeling
• Implementation of data analysis, data engineering, and visualization solutions
• Built an end-to-end machine learning system with production-grade architecture
• Set up PostgreSQL database architecture with optimized schema and multiple replicas

Technology Stack & Infrastructure

• Python Ecosystem: scikit-learn, TensorFlow, pandas, polars, and Dash
• AWS Services: Lambda, Athena, EC2, SageMaker, ECS, EKS, ElastiCache
• DevOps: GitHub Actions for CI/CD and test automation
• Database: AWS RDS PostgreSQL with multiple replicas and analytics dashboard
• Monitoring: Comprehensive logging and performance monitoring

Project Management & Delivery

• Taking on project responsibility for complex and sensitive data requirements
• Prioritization of tasks and on-time delivery of data infrastructure
• Implementation of GDPR-compliant data processing workflows
• Close collaboration with stakeholders to ensure business requirements were met

This project demonstrated my ability to architect complete machine learning solutions while maintaining high standards for data security and system reliability of data security and system reliability.