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📌 Featured Projects

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

🔹 London Weather Forecasting with Prophet

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

🔹 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.
🛠 Tech Stack: Python, Pandas, Scikit-learn, Streamlit, Seaborn
🔗 View Project

🔹 A/B Testing Campaign Analysis

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

🔹 Indicators of Heavy Traffic on I-94

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

🔹 EUR Exchange Rate Trends & Volatility Analysis (1999-2021)

💱 Description: Conducted time series analysis on historical EUR exchange rates to identify trends and volatility.
🛠 Tech Stack: Python, Pandas, Matplotlib, Seaborn
🔗 View Project

🔹 Rotten Tomatoes Movie Ratings Explorer

🍅 Description: Interactive app and analysis exploring critic and audience ratings of popular movies (2010–Present) using Rotten Tomatoes data.
🛠 Tech Stack: Python, Pandas, Matplotlib, Seaborn, Streamlit
🔗 View Project


📊 Data Science & Machine Learning

📊 A/B Testing, Statistical Analysis

📈 Business Intelligence & Dashboards

📊 Time Series & Forecasting

🏗 Data Engineering & Pipelines

🔍 Data Cleaning & Exploratory Data Analysis

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