End-to-end analysis of NYC Yellow Taxi trip data using PySpark, covering data cleaning, EDA, feature engineering, demand patterns, and fare prediction modeling.
fmCSA carrier data extraction tool
Power BI dashboard analysing rail operations: ticket sales, delays, revenue, and customer behaviour.
Real-world Markov Process Simulation using Divvy Bike Data (GBFS), demonstrating SAS-to-Python migration for operational analytics and forecasting.
Develop a predictive model to accurately forecast hourly traffic volumes at different road junctions based on historical traffic data
Difference-in-Differences analysis of bus-lane policies and ridership trends in Israel.
Apache Airflow ETL pipeline that consolidates multi-format toll road traffic data (CSV, TSV, fixed-width) into a unified, transformed dataset using BashOperators and scheduled workflows.
🚖 Analyze NYC Yellow Taxi trip data for fare prediction and demand insights using PySpark, enabling efficient data processing and accurate modeling.
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