At RanDee, I engineer ETL pipelines that process approximately 1 million records per month, turning raw web data into analytics-ready datasets across multiple databases.
I also develop FastAPI microservices deployed on GCP Cloud Run and maintain data acquisition infrastructure using web-scraping tools.
As a freelance Python Automation and Data Consultant, I design and evaluate scikit-learn models for classification and regression, and have applied Python NLP and regression modeling in a research data analysis engagement.
On the open-source Tasklet project, I contributed RAG capabilities using the Anthropic SDK, sentence-transformers, and ChromaDB. I’ve also built machine-learning projects for World Cup match prediction, food price forecasting, and street food clustering.
