At Capital One, I analyze and process 15M+ rows of risk data using SQL, Python, Snowflake, and Amazon Redshift. I build internal Google Apps Script tools and data pipelines that reduced banking-agent processing from 3–4 hours to five minutes.
Previously at Walmart Global Tech, I built GCP-based data engineering and reporting solutions for environmental, health, and safety compliance. My machine-learning models for hazardous-product classification increased processing speed by 30% and improved accuracy by 15%.
I've also delivered Power BI, SAP, Salesforce, Databricks, Tableau, AWS, and Amazon QuickSight solutions across finance, retail, and infrastructure organizations. As a founder at Skyhook Infrastructures, I reduced monthly AWS costs by 15% through Cost Explorer monitoring and IAM controls.
I'm pursuing a PhD in IT–Data Science and bring hands-on experience across cloud data platforms, ETL, machine learning, full-stack internal tools, and executive reporting.
