Here are some of my top projects showcasing my expertise across various domains:
π Description: Built a time series model to forecast London weather using the Prophet library and Open-Meteo API.
π Tech Stack: Python, Prophet, Requests, Pandas, Matplotlib
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π΅ Description: Predicted customer churn for a music streaming service using listening behavior and subscription history. Deployed as an interactive Streamlit app.
π Tech Stack: Python, Pandas, Scikit-learn, Streamlit, Seaborn
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π Description: Conducted a comprehensive A/B test comparing two digital ad campaigns (Control vs. Test) using conversion funnels, ROAS, statistical testing, and clustering.
π Tech Stack: Python, Pandas, Seaborn, Scikit-learn, Matplotlib
π View Project
π¦ Description: Analyzed traffic patterns on I-94 to identify congestion indicators.
π Tech Stack: Python, Pandas, Matplotlib, Seaborn
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π± Description: Conducted time series analysis on historical EUR exchange rates to identify trends and volatility.
π Tech Stack: Python, Pandas, Matplotlib, Seaborn
π View Project
π
Description: Interactive app and analysis exploring critic and audience ratings of popular movies (2010βPresent) using Rotten Tomatoes data.
π Tech Stack: Python, Pandas, Matplotlib, Seaborn, Streamlit
π View Project