ALL projects

Built a data-intelligence workspace for e-commerce teams with warehouse modeling, cohort and churn analysis, and an AI layer that helps turn messy performance data into decisions.

Automated the voice-of-customer workflow so feedback gets classified, summarized, and turned into executive-ready reporting without manual monthly synthesis.

Designed an AI-assisted supply chain system for perishables that helps store teams cut waste, act faster on expiry risk, and coordinate better with suppliers.

Created a healthcare equipment rental and maintenance system that centralizes inventory, prevents scheduling conflicts, and makes operational handoffs less fragile.

Built a business dashboard that surfaces sales performance, customer behavior, and regional trends in one place for quicker commercial decisions.

Built a geospatial ML framework to identify where EV charging infrastructure should go next using demand modeling, traffic behavior, and highway constraints.

Analyzed more than two million water-quality records to classify toxicity, uncover regional contamination patterns, and surface long-term environmental risk trends.

Turned wildfire incident data into a clear visual analysis of severity, spread, and containment patterns across California at statewide scale.

Built a fraud detection pipeline using supervised learning and SQL preprocessing to flag risky transaction patterns with fewer false alerts.

Analyzed solar-monitoring data to detect intensity patterns and anomalies, then improved readability with faster Python workflows and clearer visual outputs.

Trained a playful GPT-style model in PyTorch to generate character-aware Toy Story dialogue while experimenting with self-attention and transformer behavior.