Emily Tango
Data Scientist | NLP & Machine Learning | Computer Vision | Cloud-Based MLOps
As an experienced Data Scientist specializing in NLP, machine learning, and AI-driven analytics, I build intelligent data pipelines, optimize AI models, and leverage behavioral insights in big data. My background includes extensive work in business intelligence, cloud-based analytics, and structured prompt engineering for AI SaaS integration. During graduate school, I contributed to NOAA-funded coastal engineering research, collaborating with NOAA, SECOORA, and USGS on AI-powered coastal erosion analysis. I developed innovative computer vision solutions using object detection and segmentation techniques, transforming unstructured environmental data into actionable insights. In my free time I like to conduct research and write up my findings for my local community as a data science journalist.
Featured Projects
USGS Model Validation with Computer Vision Automated water level prediction validation using APIs for USGS model data and NOAA webcam data. Tech Stack:
Coastal Erosion Monitoring with Computer Vision (NOAA-Funded Research) Implemented AI image segmentation for shoreline tracking. Optimized computer vision processing workflows and designed custom training datasets. Tech Stack: Python, OpenCV, Scikit-image
fMRI Big Data Research and Analysis (WiDS 2025 Datathon) Analyzed neuroimaging data to predict cognitive patterns. Applied ML models to large-scale fMRI datasets. Tech Stack: Python, Nilearn, NumPy, Matplotlib, Scikit-learn
Google Places API Application Designed API for business searchs, creating heatmaps based on weights. Tech Stack:
Technical & Industry Expertise
- Data Science: NLP, ML, LLM Optimization, Computer Vision, Cloud-Based AI (AWS, GCP, Azure), MLOps
- Analytics & Business Intelligence: Consumer Behavior, SEO, Digital Marketing, Merchandising, and Supply Chain Optimization for perishable goods.
- Experimental Research Design: Causal Inference, Bayesian Statistics, A/B Testing, Time Series Analysis