Mathematics and Computer Science graduate with interests across data analysis, modelling, financial systems, business operations, and interdisciplinary problem-solving.
You can find my up-to-date research, thoughts and ideas on my Substack. From understanding the complexity of systems, to delving into topics concerning economic history — no topic is too far from reach.
I expand on complexity through research, data and innovation: building practical systems, analysing messy information, and translating technical, financial and operational ideas into structured solutions.
Queen’s University Belfast, with relevant modules including Financial Mathematics, Modelling & Simulation, Topological Data Analysis, Video Analytics for Machine Learning and Deep Learning.
Developed an SQL-based stock management system for Yogi24 LTD, consolidating Excel files into an SQL based stock system, improving inventory, packing and delivery data accuracy, and supporting faster workflows across stock processes.
Analysed air-quality and solar-energy data, designed a predictive machine-learning tool for renewable energy storage, and supported operational decision-making around solar battery usage.
Investigated link analysis for network data using Python libraries such as NetworkX, ARIMA and NumPy, with personal investigations into Google autosuggest and interbank lending patterns.
Currently investigating heterogeneity of Capital, its influence on entrepreneurs and businesses within an uncertain and disequilibrium future; alongside its applications to network theory.
Hey, my name is Kacper Bartosiewicz, I’m an undergraduate student at Queen’s University Belfast. I have multiple areas of interest from data to finance to economics to AI, and I’m constantly looking for ways to find intersections between them. I enjoy hiking, surfing, swimming and reading in my spare time. Send me an email or message on linkedin so we can connect!
Use the links here to email me, view my LinkedIn, or look through my GitHub.