I am a senior quantitative risk analyst and a graduating PhD in marketing analytics. Welcome to my personal website, where you can discover the ideas and projects that extend beyond my academic papers, some of which haven't yet found their way to publication. Curious about my work (or just wanna chat)? Feel free to get in touch with me!
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Professionally speaking, I am responsible for monitoring various credit risk models. It’s a bit like being a reality TV producer—ensuring the stars (models) deliver drama-free performances, calming down the overzealous cast (developers) when things get messy, and editing just enough to keep the audience (regulators) entertained without uncovering too many behind-the-scenes mishaps.
Academically speaking, I have spent over four years in retail analytics, focusing on marketing-mix effectiveness at both consumer and store levels. My research has kept me intellectually curious and interested in disentangling complex systems.
Personally speaking, during my free time, I love playing video games, trying new restaurants, experimenting in the kitchen, doing yoga, and dancing. I also try to keep up with reading, though my attention span has definitely shortened lately!
About MeI am (by training) an economist, a quantitative risk analyst, a policy maker, and a marketer who can code/program (in R, Python, SAS and Spark) and run advance statistical analyses using marketing analytics techniques. In my current role, I am responsible for (credit risk) model monitoring and developing a testing framework, specifically for Loss Given Default (LGD) and concentration risk models.
Linkedin Download My CVHow Does Long-Term Adoption of Online Grocery Channels Affect Customers' Purchasing Behaviors? Insights from Nordic Grocery Data.
Find out (Slides) Code WalkthroughWhat Influences the Power of a Discount in Retail? Unveiling Hidden Factors with Nordic Grocery Data Across Hypermarkets, Supermarkets, and Convenience Stores.
Find out (Slides) Code WalkthroughHow Do Regular Prices and Discounts Uniquely Influence Retail Sales? Exploring Asymmetric Effects Across Store Formats with Insightful Nordic Grocery Data.
Find out (Slides) Code WalkthroughWho Gained the Most Playlist Followers During the Pandemic? Exploring the Surge in Spotify Playlist Popularity Amidst COVID-19.
Find out (Slides) Code Walkthrough