Bike Share Availability Analytics Dashboard December 2024
Real-time bike and dock availability dashboard
Developed a live data monitoring dashboard by integrating City of Toronto Bike Share API data into a Python application using Streamlit and Pandas. This enabled real-time tracking of bike and dock availability across stations.
Performed data validation and transformation by cleaning and structuring API responses for analysis and visualization, ensuring accurate availability metrics and reliable outputs.
Designed interactive data visualizations using geospatial mapping and color-coded indicators to highlight system performance and operational gaps.
Link: GitHub
Walking vs Running Classifier January 2026
Human activity recognition system using accelerometer data
Built a structured data management workflow by collecting, validating, and storing multi-source accelerometer data in an organized HDF5 database using Python (Pandas, NumPy). This ensured reliable data entry, version control, and efficient retrieval for analysis.
Performed data cleaning and quality control by applying noise reduction, handling missing values, and segmenting time-series data into standardized windows. This improved data consistency and integrity for downstream processing.
Conducted statistical analysis and performance monitoring by extracting key metrics such as mean, variance, and range, and evaluating classification accuracy against test data to validate results.
Links: GitHub,
