At Falcon, I designed SQL pipelines and Salesforce insights that reduced query runtime by 25%. I also built a Metabase dashboard used by 20+ analysts to monitor field completion and data integrity.
I evaluated data cleanliness metrics and automated data-quality reports to improve operational visibility for senior leadership. My analysis supported a 15% improvement in reporting efficiency.
On my Credit Card Fraud Detection Model project, I analyzed 300K+ transactions using PySpark and Databricks. I applied K-Means clustering and PCA to explore fraud patterns and compare clustering performance.
I built a Natural Disaster Image Classifier with a PyTorch training pipeline and a Streamlit interface, then containerized the workflow with Docker and published it to Hugging Face. I also created a Tableau dashboard analyzing Seattle Airbnb listings.
