Methodology

To ensure project success, I execute tasks in a dedicated and orderly manner. My initial approach includes researching and clarifying project requirements with stakeholders and end users. I then model, design, test, and validate my analytic solutions according to rigorous industry standards. This ensures my deliverables are resilient, maintainable, and ethical. Some of my core practices include significance testing, programming without exceptions, and test-driven development.

I use programming languages such as SQL, Python, R, and C for data analysis and application development. I also utilize technologies like HTML, CSS, and illustration tools to create attractive and impactful interfaces. My deep understanding of web and network protocols helps me interact with and create APIs to deliver results.

My typical project workflow includes the following steps:

• Defining stakeholder requirements
• Analysis, planning, and open-source research
• Working with scientific datasets and satellite imagery
• Database design and maintenance
• Data extraction, transformation, and loading (ETL)
• Feature engineering
• Statistics and machine learning techniques
• Algorithm design, implementation, and optimization
• Scientific training, testing, and validation
• Creating 2D and 3D visualizations
• API development and documentation
• Application development and unit testing

Read more to discover my professional training and technical certifications.