Masao Mizutani

• Architected ETL pipelines to ingest and transform Firestore data into BigQuery, enabling scalable analytics and optimized querying of business-critical metrics • Developed a centralized Looker Studio dashboard to visualize trends in user engagement and revenue growth. • Developed an optimized word search using n-grams and a space-efficient probabilistic data structure to reduce Cloud Functions costs. • Created an unsupervised machine learning recommendation system for categorizing reading levels of words and texts based on Zipf distribution, ensuring appropriate reading level matches between users and content. • Backend system using Django for file processing and content creation, including AI-generated images/text via VertexAI, enabling dynamic creation of personalized learning materials. Python · Firebase · Google Cloud Platform (GCP) · Cloud Functions · Rest API · Scikit-Learn · Machine Learning · Django Rest Framework · Docker · Data Science · ETL pipelines · BigQuery · Looker studio