portfolio

Here are some of my top projects showcasing my expertise across various domains:

πŸ”Ή London Weather Forecasting with Prophet

🌍 Description: Built a time series model to forecast London weather using the Prophet library and Open-Meteo API.
πŸ›  Tech Stack: Python, Prophet, Requests, Pandas, Matplotlib
πŸ”— View Project

πŸ”Ή Maven Music Cancellation Predictor

🎡 Description: Predicted customer churn for a music streaming service using listening behavior and subscription history. Deployed as an interactive Streamlit app.
πŸ›  Tech Stack: Python, Pandas, Scikit-learn, Streamlit, Seaborn
πŸ”— View Project

πŸ”Ή A/B Testing Campaign Analysis

πŸ“ˆ Description: Conducted a comprehensive A/B test comparing two digital ad campaigns (Control vs. Test) using conversion funnels, ROAS, statistical testing, and clustering.
πŸ›  Tech Stack: Python, Pandas, Seaborn, Scikit-learn, Matplotlib
πŸ”— View Project

πŸ”Ή Indicators of Heavy Traffic on I-94

🚦 Description: Analyzed traffic patterns on I-94 to identify congestion indicators.
πŸ›  Tech Stack: Python, Pandas, Matplotlib, Seaborn
πŸ”— View Project

πŸ’± Description: Conducted time series analysis on historical EUR exchange rates to identify trends and volatility.
πŸ›  Tech Stack: Python, Pandas, Matplotlib, Seaborn
πŸ”— View Project

πŸ”Ή Rotten Tomatoes Movie Ratings Explorer

πŸ… Description: Interactive app and analysis exploring critic and audience ratings of popular movies (2010–Present) using Rotten Tomatoes data.
πŸ›  Tech Stack: Python, Pandas, Matplotlib, Seaborn, Streamlit
πŸ”— View Project


πŸ“‚ All Projects

πŸ“Š Data Science & Machine Learning

πŸ“Š A/B Testing, Statistical Analysis

πŸ“ˆ Business Intelligence & Dashboards

πŸ“Š Time Series & Forecasting

πŸ— Data Engineering & Pipelines

πŸ” Data Cleaning & Exploratory Data Analysis