Analyze healthcare data in Google BigQuery to enhance hospital performance, optimize Medicare payments, and guide policy decisions.
Analyzed marine liability claims to identify loss patterns and drivers of claim volatility. Applied actuarial techniques to improve premium models and support risk-based decision-making.
This case study explores how Cyclistic, a bike-share company in Chicago, aims to convert casual riders into annual members by analyzing usage patterns between the two groups.
Analyze transportation data in SQL, Python to improve delivery performance, reduce operational costs, and support logistics strategy and planning.
Tracking pandemic trends and their impact on public health.
Analyzing Airbnb listings and market trends.
Entry-level Actuarial Analyst with a solid foundation in probability, financial mathematics, and risk modeling. Skilled in SQL, Python, and Excel, with experience applying concepts such as interest theory, annuities, and cash flow analysis. I have passed SOA Exams P and FM and am committed to achieving the ASA designation, with the long-term goal of Fellowship (FSA).
Passionate about leveraging actuarial science and data-driven analysis to support insurance, retirement, and financial risk management, I bring a blend of technical expertise and business insight to deliver clear, impactful solutions.
Passed the SOA Exam FM, demonstrating knowledge of financial mathematics, including interest theory, annuities, loans, bonds, general cash flow analysis, and portfolio management.
Passed the SOA Exam P, demonstrating proficiency in probability concepts, including random variables, distributions, independence, expectation, and applying these to risk modeling and actuarial problems.
Completed the Google Data Analytics Professional Certificate, gaining hands-on experience with data cleaning, analysis, visualization, and tools like SQL, R programming, and Tableau.
Earned the AWS Certified Solutions Architect - Associate certification, demonstrating expertise in designing and deploying scalable, highly available, and fault-tolerant systems on AWS.
