Cartogram Assessment

• Developed an interactive web application to assess the suitability of various cartogram types for spatial data presentation.
• Utilized Python and Streamlit for deployment and user interaction.
• Stored assessment data in a No-SQL database (Deta) for efficient retrieval and management.
• Designed atomic, modular components to independently generate questions and map visuals.

Application Link Github Link Show Skills

Cartogram Assessment

Customer Churn Analysis

• Developed customer churn prediction software using Flask, Python, Bootstrap, Jinja Template Engine, and CSS.
• Integrated dynamic model selection, allowing users to choose between Random Forest, Linear Regression, Logistic Regression, and SVM.
• Enabled flexibility in defining the predicted and predictor variables for customized analysis.
• Analyzes customer behavior and usage patterns to help businesses reduce churn and boost customer loyalty.
• Provides businesses with actionable insights for targeted marketing and customer retention strategies

Github Link Show Skills

Customer Churn Analysis