Hi, I'm Winston
A curious data scientist exploring the intersection of technology and analytics.
About Me
Ambitious data scientist with a strong background in database management, ETL processes, statistical modeling, and data analytics with experience working in cross-functional teams to provide data-driven insights. I specialize in building scalable data pipelines using cloud technologies — particularly AWS services such as Glue, Athena, Lambda, and S3 — and have hands-on experience developing end-to-end workflows with SQL, PySpark, and Python.
My work spans industries including telecommunications, where I've delivered analytics solutions for Fortune 100 clients, as well as independent research in time series forecasting and machine learning. I'm comfortable across the full data lifecycle — from raw data ingestion and transformation to statistical modeling, visualization, and insight delivery. Eager to deliver meaningful contributions in the realm of advanced analytics while maintaining a goal of continuous learning and development.
Projects

Stack Overflow Forecasting
Forecasting weekly question volume on Stack Overflow by tag using time series models with Prophet and BigQuery.
Telecom Fee Analytics Pipeline
Built an AWS Step Function pipeline for Fortune 100 telecommunications clients to identify and calculate recoverable fees. Parallel business logic scripts in SQL and PySpark run across AWS Glue, Athena, Lambda, and S3.