Tools and technologies I use to build, analyze, and deploy projects.

Actuarial & Quantitative

• Probability & Statistics – coursework, modeling, simulations
• Financial Mathematics – time value of money, annuities, cash flow analysis
• Risk Modeling – foundational exposure through projects and coursework
• SOA Exam P – In Progress
• SOA Exam FM – Planned

Data & Analytics

• Python – data analysis, scripting, modeling, simulations
• R – statistical analysis and basic visualization
• Excel – formulas, financial modeling, data organization
• SQL – querying and relational data concepts
• Power BI – introductory dashboards and visualization

Software & Web

• Flask – backend web development
• HTML – semantic structure and accessibility
• CSS – responsive layouts and styling
• Git & GitHub – version control and project collaboration
• REST APIs – basic integration and data handling
• Linux – command line usage and environment management

Hardware & IoT

• Raspberry Pi – project-based development and deployment
• Sensor data collection – data logging and processing
• I2C / SPI – introductory hardware communication
• Edge data processing – basic local computation and visualization