AWS Engineer & Cloud Engineer & Data Analyst & Data Scientist & Geographic GIS Specialist & Python Developer

An experienced Cloud Computing and Big Data Analyst with a background in Computational Mechanics and Mechanical Engineering. Currently working focusing on setting up big-data production systems and improving data architecture. Skilled in Python, MATLAB, C++, and various software tools. Experienced in numerical simulation, machine learning, and production monitoring system automation. Passionate about fitness, music, and social activities outside of work.

• Set up big-data production system and improved data architecture to reduce cost. Refactored existing tools to modularize and improve time and data complexity. Integrated tools into the production system and reduced redundancy of work. Consolidated tools and techniques to improve method development by specialists and software developers.
• Performed numerical simulation for structural analysis, interpreted results, and improved design. Implemented modules in open-source solvers using MPI and OPENMP for parallel computation.
• Worked with GIS specialists to create a workflow for change detection using time series and statistics. Processed over 450 TB of data to identify deforestation in the Amazon forest basin.
• Utilized machine learning for land cover classification with satellite data. Combined data from multiple sources and improved data quality using scaling and interpolation. Piloted the use of artificial neural networks for classification.
• Created a frontend system using Django to monitor big data production. Automated submission of tasks to improve efficiency.