- Email: [email protected]
I am a statistics student at Stockholm University with a passion for data analysis, machine learning, and statistical modeling. I enjoy working with data to uncover insights and make data-driven decisions.
- Programming Languages: Python, Lua, R, SQL, RegEx
- Data Analysis: Pandas, NumPy, Scikit-learn, Tidyverse
- Data Visualization: Matplotlib, Seaborn, ggplot2
- Machine Learning: Regression, Classification, Clustering
- Statistical Modeling: Hypothesis Testing, ANOVA, Time Series Analysis
- Description: A comprehensive data analysis project on an open source dataset to uncover trends and patterns in national and regional traffic accidents across the US.
- Tools: Python, Pandas, Matplotlib
- Bachelor of Science in Mathematics and Computer Science with a major in Statistics
- Stockholm University
- Expected Graduation: Year 2026
- Master of Science in Statistics
- Stockholm University
- Expected Graduation: Year 2028