CAL

## Tweedie GLM Interpretations and Stochastic Loss Development

I recently had the opportunity to participate in UC Berkeley's Actuarial case competition, hosted by the Cal Actuarial League. The topics of this case competition are Property & Casualty and General Analytics. The full case competition debrief is available here (.pdf), and a copy of the starter files is available here (.zip). Students were allotted roughly 2 weeks (Oct 23 - Nov 8) to complete the following tasks. Property & . . .

• Daniel Suryakusuma
Projects

## Insuring Against Going Viral: Life Expectancy on Spotify Top Charts

This project showcases a spectrum of technical skills in a nontraditional actuarial setting. Many methods are known for analyzing and predicting movement in a financial market and quantifying risk. We seek to give similar treatment in the case of Spotify's Top Charts, where popularity "drives up" the ranking (price) of a given index (song). In particular, we draw special attention to Queen's "Bohemian Rhapsody". Put concisely, in all of Spotify's . . .

• Daniel Suryakusuma
Projects

## LiveType LaTeX: A Library and Guide to Rapid Typesetting in a Technical Lecture Setting

Live demos (.gif / video) will be added to this article as time permits, as I'm still developing and improving my definitions and snippets. There will be more added over time (especially for diagrams and plots). Please see my github for the current development!Examples of my notes, created in-class during lectures. Here's the current version of an ongoing collaboration with John-Michael Laurel for Stochastic Processes by Professor Jim Pitman. Math . . .

• Daniel Suryakusuma
Projects

## Simple Life Insurance Pricing Model

Suppose we want to create a simple Life Insurance pricing model, as presented in Actuarial Mathematics. Given a set of assumptions, we wish to find the expected value of Life Insurance benefits, discounted to present value. Suppose then we have the following assumptions: Life Insurance Policy A: Pays a flat benefit amount of \$50,000 in case of death (up to age 65) Life Insurance Policy B: Pays X% of . . .

• Daniel Suryakusuma
Projects

## Research Questions: Topics of Interest

Ranging over different lines of business and applications, these are some of my topics of interest for independent research projects: Analyses on personal health data gathered by wearables; what indicators and variables are missing to construct a better understanding of the user?How can actuarial practices (such as generalized linear models or loss triangles) be extended to other data-science and machine learning motivations such as predictive modeling for sales and . . .

• Daniel Suryakusuma