Data Scientist
Welcome to my portfolio! I'm a passionate data scientist with expertise in machine learning, data visualization, and statistical analysis. I love turning complex data into actionable insights.
Current status: Open to new roles / Freelancing / Building cool stuff
Building a computer vision model that detects and tracks soccer objects—such as players, ball, and goalposts—in match footage to analyze player movements, ball possession, and key events. The resulting detections can be used to generate statistics like heatmaps, passing patterns, or defensive shape over time.
View ProjectAnother project description highlighting key features and technologies used.
View ProjectA data visualization project that showcases interactive dashboards and insights.
View ProjectAbbVie
Worked on building agentic RAG systems for statistical team workflow.
Feng Lab
Evaluated lightweight CNNs, ResNet variants, and multimodal models (CLIP, Qwen-VL) on TinyImageNet to optimize accuracy-efficiency trade-offs, and fine-tuned CLIPs ViT-B/32 for a +10% gain over zero-shot performance.
Regeneron
Developed diagnostic and validation software that improved quality control and data integrity across 10+ Regeneron Medidata EDC clinical studies and optimized compliance tools for 15+ database builds.
New York University
Specialized in machine learning and statistical analysis.
Pennsylvania State University
Focus on algorithms and data structures.