About Me
✨ Solving Problems with Data and Purpose
With a Ph.D. in astronomy and years spent exploring the universe through data, I’ve carried that same curiosity and analytical rigor into the world of tech. Now, as a Data Scientist at GitHub (contractor), I’m focused on transforming customer support operations—designing machine learning models and capacity planning tools that help teams navigate complexity with clarity. I’m passionate about using data to solve meaningful problems, connect the dots, and build systems that make an impact.
📡 Expertise
I specialize in building data-driven solutions that transform complex operations into scalable, strategic systems. My expertise spans machine learning, time-series forecasting, and data pipeline development—shaped by work in both astrophysics and industry.
As a Data Scientist at GitHub, I design forecasting models and capacity planning tools for customer support, combining Python, Power BI, and cloud-based platforms like Azure and GCP. I’ve developed production-ready ML models using XGBoost and time-series techniques, and created dashboards that help leadership make data-informed decisions.
My technical foundation includes Python, SQL, and tools like PySpark, Pandas, and Apache Hive, with hands-on experience across the full data lifecycle—from ETL design to dashboard delivery. I’m passionate about using data to clarify complexity, surface insights, and create impact at scale.
🚀 Leadership and Management Skills
I lead end-to-end data science projects with a focus on impact, clarity, and collaboration. At GitHub, I’ve taken ownership of the entire forecasting initiative for customer support—driving the development of machine learning models, designing data pipelines, and aligning technical solutions with strategic goals.
My leadership style blends technical depth with clear communication and cross-functional teamwork. I’ve worked closely with stakeholders across teams to define key metrics, build forecasting dashboards, and translate complex analyses into actionable insights. This builds on a foundation of leading research projects independently during my academic career, where I managed teams, secured funding, and delivered high-impact results.
