- Developed personalized instruction for 5-15 students at a time in precalculus, calculus 1, calculus 2, and calculus 3 courses- Receive positive feedback from students for clear explanations and patient guidance, resulting in improved confidence and performance

- Developed a browser-based semantic filtering Tableau extension by leveraging deep learning architectures, like transformers, to process and filter through large volumes of text data, providing future value to government agencies like the SSA and VA- Presented proof of concept to senior executives, CFPB, Tableau partnership team, and other stakeholders- Collaborated with two data science and two software engineering interns, using Git for version control and following Agile practices- Wrote a CloudFormation template to deploy the extension as a static website via S3 and CloudFront- Trained and researched deep learning semantic search models in Python (Hugging Face transformers, spaCy, NLTK, TensorFlow), leading to a 30% increase in model accuracy- Explored various approaches to implement transformers and TensorFlow models in JavaScript, increasing extension capacity from 300 entries to 22,500

- Achieved a 3 minute delivery goal for 200+ orders daily by collaborating with team to streamline item selection and delivery to guest cars- Work efficiently to minimize wait time in checkout lanes while maintaining guest service and informing guests of the most helpful ways to use Target services