Personal Projects
Taylor Swift Song Data Analysis
Spotify API • Python • Data Visualization
Key Highlights
- Orchestrated data extraction from the Spotify API via Python to analyze high-dimensional audio features (tempo, valence, danceability).
- Executed data cleaning and normalization using Pandas, implementing logic to resolve null values and redundant entries.
- Developed visualizations in Matplotlib to identify statistical trends and sonic evolution across a 15-year discography.
Traffic Sign Recognition
TensorFlow • Keras • CNN • Computer Vision
Key Highlights
- Designed and deployed a Convolutional Neural Network (CNN) to classify traffic signs with 95.8% accuracy across 10,000+ images.
- Implemented Advanced Data Augmentation and Dropout techniques to enhance model generalization against noisy, real-world image data.
Professional Projects
Vehicle Steering Anomaly Detection
Autonomous Vehicles • ML Classification • Data Analysis
Contribution
- Normalized and processed 10,000+ JSON logs using Pandas to enable structured high-frequency signal analysis of autonomous vehicle trajectories.
- Optimized feature engineering for steering signal data, utilizing Matplotlib for root-cause analysis and improving early-stage error detection.
Proactive Road Hazard System
Web Scraping • Automation • ETL Pipeline
Contribution
- Built a preemptive notification pipeline that integrated scraped road closure data to auto-disable specific ADAS features in high-risk zones, significantly reducing customer-reported disengagements.
- Developed robust data cleaning scripts in Pandas to handle unstructured HTML, ensuring 99.9% uptime for the hazard detection system.