Data Analyst | Power BI Developer | Business Intelligence
I'm a data professional with expertise in transforming complex datasets into actionable insights. My work focuses on creating interactive visualizations and data-driven stories that help organizations make informed decisions.
With experience in Power BI, SQL, Excel and data modeling, I specialize in developing comprehensive reports that reveal hidden patterns and trends in data. This portfolio showcases my projects across various sectors.
A machine learning system that detects fake business reviews by analyzing writing patterns and reviewer behavior using NLP and behavioral signal engineering. Built with Python, Scikit-learn, Pandas, and TF-IDF on a dataset of 40,000 labeled reviews.
Analyzed remote, hybrid, and on-site work patterns to identify trends in employee productivity and satisfaction. Built an interactive dashboard using Power BI to visualize workforce insights and support data-driven decision-making.
Analyzed global COVID-19 data to identify trends in confirmed cases, deaths, and recoveries across different regions. Built an interactive Excel dashboard using pivot tables, charts, and data visualization techniques to present key insights.
Developed an Online Payment Fraud Detection System using Decision Tree and Random Forest machine learning models to detect fraudulent transactions. The system analyzes transaction features such as type, amount, and balance variations to identify suspicious payment activities.
Developed a machine learning–based system to detect and classify dark patterns in e-commerce websites using NLP techniques. The solution scrapes UI text from multiple global platforms, maps findings to EU DSA and FTC regulations, generates remediation suggestions, and visualizes insights through an interactive Power BI dashboard.