Σπύρος Παντελάτος
Data Analyst specializing in Python & SQL
New to Contra
Σπύρος is building their profile!
This project provides an end-to-end data analytics pipeline and business intelligence solution for New York City taxi trip records, processing large-scale spatial and temporal ride data. By utilizing a hybrid engineering architecture—Pandas for intensive exploratory programming and PySpark for highly scalable database writes—the system cleanses raw GPS telemetry, uncovers hidden urban mobility bottlenecks, and structures the data for real-time reporting.
The project culminates in an enterprise-grade interactive dashboard deployed via Databricks Lakeview, transforming raw trip files into actionable spatial and operational insights.
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This project analyzes over 2 million retail transactions to uncover purchasing trends, evaluate promotional efficiency, and identify high-value customer segments based on household demographics.
By merging daily transaction logs with customer profiles, this analysis transitions from raw data engineering to actionable business insights, culminating in targeted recommendations for marketing and inventory management.
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