On this page, you’ll find various projects exploring data analysis, machine learning, and visualization techniques. From predicting stock market trends to uncovering movie ratings insights, these projects demonstrate my ability to transform raw data into actionable insights. With a strong foundation in quantitative research, I’ve developed a diverse portfolio of data science projects, leveraging tools like Python, R, and SQL. Continuous learning is a cornerstone of my work, and these projects reflect both my professional expertise and additional skills gained through targeted training.

I am working on adding all the projects below as blog posts, which will take a while. In the meantime, have a look at my GitHub repository here. You will find the code for all the projects there, if you are interested.

Most Recent Projects:

• Introducing the BrightMail Analytics Dashboard
• Visualizing Migration-Related News in Germany
• Creating and Testing a Daytrading Strategy on the S&P 500 Index

Categories:

Predictive Analytics:

• Predicting Worker Productivity Using Tree Models
• Predicting Insurance Costs
• Predicting Heart Disease

Data Visualization:

• Visualizing Migration-Related News in Germany
• Storytelling Data Visualization on Exchange Rates
• Analysing Traffic on the I-94 Highway

Machine Learning:

• Building a Spam Filter with Naive Bayes
• Credit Card Customer Segmentation
• Classifying Heart Disease

Exploratory Data Analysis:

• iOS and Android Apps Analysis
• eBay Car Sales Exploration
• Hacker News Posts Analysis

Financial Analysis:

• Creating and Testing a Daytrading Strategy on the S&P 500 Index
• Exploring Financial Data Using Nasdaq Data Link API
• Mobile App for Lottery Addiction