Actuarial Analysis

Proficiency Level: Intermediate

As an aspiring actuary, I have developed a strong foundation in actuarial analysis through my academic studies and practical experience. My skills include:

• Proficiency in using statistical software such as R and Python for data analysis and modeling.
• Knowledge of actuarial models for pricing, reserving, and risk management.
• Experience with statistical methods like regression analysis, time series analysis, and hypothesis testing.
• Ability to create insightful data visualizations using tools like Tableau, Power BI, and Matplotlib.
• Understanding of risk management principles and techniques.
• Proficiency in financial analysis and modeling.
• Experience in automating actuarial tasks using programming languages such as Python and R.
• Advanced Excel skills, including the use of complex formulas, macros, and data analysis tools.
• Knowledge of SQL and experience with databases such as SQLite and MySQL.
• Strong written and verbal communication skills, with experience in presenting findings and recommendations to stakeholders.
• Experience in managing and coordinating actuarial projects, working effectively in cross-functional teams to achieve project goals.

I have applied these skills in various projects to streamline data analysis processes and enhance reporting capabilities, contributing to efficient decision-making and business insights.

Notable Projects and Experiences:

• Collaborated with senior actuaries to analyze and interpret complex insurance data and emerging industry trends.
• Developed automated processes for data cleaning and report generation using Python, Pandas, R, and packages such as readr and dplyr for CSV/XLSX and basic data manipulations.
• Assisted in creating detailed actuarial reports and presentations, tailored for client-specific requirements and regulatory standards.
• Designed and implemented Excel-based GUIs using VBA to facilitate efficient data entry and improve workflow automation, though I am still learning and refining my skills.
• Actively participated in team meetings, contributing to discussions on process improvement and operational efficiency.

While I am still building confidence in my actuarial analysis skills, I remain dedicated to continuous learning and growth. I am eager to explore more advanced topics and stay updated with the latest industry trends to contribute effectively in the field.