BSc Software Engineering student at the University of Europe for Applied Sciences (Potsdam). I'm passionate about data science, machine learning, and building reliable software with a minimalist touch.
I'm a detail-oriented developer who enjoys turning data into insight. My interests span data analysis, classical machine learning, and the tooling that makes teams effective. Recently, I've been exploring model evaluation, building predictive models and presenting the clear insights. Eager to contribute as a Data science Intern and grow my practical experience turning data into real value.
Built a machine learning model to predict loan approvals, Collected and cleaned large datasets, Performed exploratory data analysis, applied Logistic Regression achieving 82% accuracy. Visualized trends and presented results in clear way.
Conducted the data analysis on sales across multiple regions. Identified the top-selling products, seasonal sales patterns, and revenue gaps. Delivered the insights to improve the business performace in underperforming regions.
Contributed in the development of Stock Market App in a team using Agile methodologies
Analyzed social media posts to determine the public sentiment and identify trends, key insights using Python in a team
University of Europe for Applied Sciences