End-to-end data science project to analyze Uber ride pricing and predict fares and surge multipliers, with ML models and a Streamlit app for interactive fare estimation.
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Dec 20, 2025 - Jupyter Notebook
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surge-pricing
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AI-powered Surge Pricing & ETA Optimization for ride-hailing platforms. Using demand forecasting and real-time ETA predictions, it optimizes fares, reduces wait times, and improves driver/passenger experience. Optimized for Tehran, it helps increase revenue and reduce pricing volatility.
react python machine-learning optimization scikit-learn tehran geopandas demand-forecasting geospatial-analysis time-series-forecasting osmnx fastapi pricing-algorithms ride-hailing surge-pricing generative-ai real-time-dashboard eta-prediction
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Dec 3, 2025 - Python
This repo contains a GBQ script that pulls, cleans, and aggregates data of a hybrid experiment (AB & diff-in-diff). The R script contains a logic that analyzes the performance and significance of the results according to key success metrics
bigquery sql rstudio pricing statistical-analysis statistical-inference experimentation ab-testing diff-in-diff surge-pricing
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Jun 6, 2022 - R
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