SQL
5 projects use this
Human Activity Classification Using Azure AutoML
Developed a data science pipeline using Azure ML, SQL, and machine learning models to classify human activity from sensor data, leveraging AutoML to achieve 94.1% accuracy with ensemble learning.
Automated Cloud Pipeline for Antarctic Environmental Sensor Data
Automated a Google Cloud data pipeline using Python, SQL, Apps Script, Cloud Functions, and BigQuery to ingest, clean, store, and analyze environmental sensor data from Antarctica.
Geospatial Signal Strength Analysis Using BigQuery
Analyzed petabytes of vehicle telemetry data using SQL and BigQuery to map global modem performance, integrating Mapbox visualizations to uncover geospatial trends in cellular connectivity.
Real-Time Monitoring of eMMC Health in IoT Devices
Investigated hardware reliability in embedded telematics devices through eMMC wear analysis, using diagnostic data to assess memory degradation, wear leveling, and potential failure modes.
Geolocating Fuel Stations Using Vehicle Telematics and BigQuery
Built a scalable geospatial analytics pipeline using SQL, BigQuery, and DBSCAN to identify public gas stations from millions of vehicle fuel events while filtering false positives.