nyc-taxi-data

A premium, real-time ride-sharing simulation and analytics platform. Built with a FastAPI backend, real-time driver matching and surge pricing engines, and visualization dashboards using Streamlit and a modern React frontend.

Taxi Demand Prediction is a Flask web app that forecasts short-term taxi demand across New York City using zone-based clustering and historical trip data. It provides an interactive dashboard for selecting a zone and time, viewing demand predictions, trends, and nearby higher-demand areas.

End-to-End Data Pipeline for NYC Green Taxi trip data using Azure Data Factory, Data Lake, and Databricks following the Medallion architecture

End-to-end Snowflake + dbt project demonstrating modern ELT best practices using NYC Taxi data — includes environment-based dbt profiles, key-pair authentication, SQLFluff linting, CI/CD workflows, macros, staging/intermediate/core models, snapshots, and automated ingestion pipelines.

Predictive modeling and machine learning analysis of NYC Yellow Taxi Trip Records to forecast fare amounts, payment types, and demand, optimizing urban mobility using Python, scikit-learn, and XGBoost.

Analytics engineering portfolio: NYC TLC taxi and weather data ingested into DuckDB and modeled with dbt (staging, intermediate, marts) with tests, docs, and CI

End-to-end GCP data engineering pipeline — NYC Uber trip data transformed into a BigQuery star schema using Mage, with Looker Studio analytics

nyc-taxi-tips-weather-analysis

End-to-end data engineering pipeline for NYC taxi data using Airflow, PySpark, dbt, and MinIO.

End-to-end urban mobility data platform processing 10.4M+ NYC taxi records with Python ETL, PostgreSQL, dbt, MinIO, Airflow, FastAPI, Power BI, and ML.

This repository contains the NYC Taxi Data Engineering Pipeline project, which aims to build a comprehensive data engineering pipeline using NYC taxi data from the years 2022 and 2023. The pipeline involves extracting, transforming and loading (ETL) data into a Snowflake database, followed by creating a dashboard for visualisation.

🚕 CityPulse — AI-powered Streamlit dashboard predicting high-demand NYC taxi rides using ML models, 3M+ rows of real data, interactive filters, and geospatial visualizations

Millions of trips. One very large dataset. An urban mobility & transportation intelligence platform powered by NYC TLC Yellow Taxi data, DuckDB medallion data pipeline, and an interactive Next.js 14 executive dashboard.