About
I’m a data-driven analyst passionate about transforming raw data into meaningful insights and intelligent systems. My background in quantitative finance and applied mathematics allows me to combine analytical rigor with modern data science methods — from predictive modeling and machine learning to data engineering and visualization. I enjoy working at the intersection of data, algorithms, and decision-making — developing solutions that not only perform well technically but also deliver measurable business impact. Whether it’s optimizing a valuation model, automating data workflows, or building interactive dashboards, I focus on creating tools that help organizations make smarter, faster decisions. Outside of projects, I’m constantly exploring new techniques in AI, stochastic modeling, and statistical computing to stay at the cutting edge of data analytics.
What I focus on
Designing and delivering data analytical solutions that turn complex datasets into actionable insights — from building predictive and machine learning models to deploying production-ready analytics pipelines and visualization dashboards.
How I work
Data-driven, collaborative, and research-oriented: I focus on reproducible workflows, scalable code, and explainable models that align with business goals and empower data-informed decision-making.
Get in touch
Interested in data science collaborations, model development, or analytics consulting? Reach out by email or through the contact form — I typically respond within a few business days.