Ryan Yee Email & Phone Number

California, United States

San Francisco, California, United States

• Contribute to transforming TV advertising by ensuring data integrity and delivering actionable insights for campaign optimization.
• Investigate multiple data sources to identify and resolve systemic data quality issues.
• Build and test large datasets to maintain data accuracy and reliability.
• Automate and document data processes to ensure best practices in data collection and analysis.
• Collaborate with cross-functional teams to analyze TV marketing campaigns and support media buying strategies with impactful reports and visualizations.
• Conduct ad-hoc data analysis and deep-dive quantitative analyses to optimize KPIs.

Cupertino, California, United States

• Developed an AI-powered enterprise knowledge management platform enabling enterprises to interact with data 10x faster, boosting productivity and decision-making.
• Built an integrated AI Assistant using Flask, React, NextJS, Tailwind CSS, LangChain, RAG (Retrieval-Augmented Generation), GCP, AWS, and Pinecone VectorDB, providing real-time intelligent responses.
• Integrated enterprise learning management systems (LMS) to onboard and assist employees in navigating enterprise documents and manuals, significantly improving administrative efficiency and accuracy.
• Engineered a multi-session chat interface with React and Flask, supporting session-specific context and seamless navigation between knowledge packs and chat histories.
• Enhanced document accessibility by embedding metadata such as file URLs, names, and relevance scores into vector storage for structured AI-driven document retrieval.
• Designed a responsive user interface leveraging ReactMarkdown for rich-text AI responses, including Markdown rendering and embedded citation links for contextual clarity.

University Of California San Diego, California, United States

• Collaborated with Marine Scientists to rapidly prototype data preprocessing pipelines, transforming 15 years of sonobuoy data into spectrograms for real-time whale call classification with state-of-the-art machinery to.
• Developed and deployed an R Shiny App on the official CalCOFI website to provide scientists and non-technical end users with an interactive tool to visualize 20 years of marine mammal data collected onboard CalCOFI.
• Integrated multiple data streams, highlighting over 1,000,000 rows of marine mammal visual sightings, eDNA detection, and acoustic detection data through time and space.
• Implemented a comprehensive image processing pipeline that addressed challenges in noise reduction through Gaussian filter, bilateral filter, median filter, morphology, and column-wise matrix subtraction.
• Conducted Principal Component Analysis (PCA) on spectrograms, resulting in a 45% dimensional reduction while retaining 90% of the total variance. Reduced R-CNN ResNet50 model training time from 10 to 5 minutes per 15.
• Removed 15 types of vertical artifacts and background noise while preserving essential signals, improving model performance and data usability.

Cupertino, California, United States

• Conducted data cleaning, data merging, data quality control, and updated dashboard datasets using SQL and Python.
• Conducted regression analysis and financial modeling on sales data using R and Excel, optimizing profit margin by 15%.
• Used regression analysis and forecasting to define operational KPIs and reduced annual operational costs by 30%.
• Compiled 20+ reports in Tableau to provide key stakeholders with actionable information for informed decision-making.
• Collaborated with marketing teams to track search engine results page (SERP) and conduct search engine optimization (SEO) using Google Lighthouse, increased organic web search traffic by 200%, inquiry rate by 50%, and.

Santa Clara, California, United States

• Analyzed data storage systems, architectures, and protocols to improve company products: Icebox & Icebox File Manager
• Co-authored 10+ blogs on optical storage archives, digital twins, and blockchain technology to promote startup vision.
• Conducted market research on data storage products & blockchain technology opportunities related to digital twins.

Bachelor Of Science - Bs, Statistics And Data Science

Student Researcher @ UCSB Data Science Capstone Project

One Year Transfer In Computer Science, Computer Science

High School Diploma, 4.6 Gpa