Keoshia Grigsby

I’m a Quantitative Developer and Data Engineer who applies computational analytics, Python, and statistical modeling to improve data-driven performance and risk systems. I bring a strong foundation in linear algebra, time-series analysis, and Monte Carlo simulation, focused on turning complex modeling into practical, dependable tools.

Since 2024, I’ve developed and automated quantitative simulation models using Python and SQL for operational and risk analytics. I’ve implemented Monte Carlo simulations and time-series models to evaluate production variability, built data validation systems for reliability across high-frequency datasets, and designed ETL pipelines for real-time performance metrics across Azure SQL, Smartsheets, and Excel—using Power BI to deliver executive-level visualization.

Previously, as a Data Analyst (2020–2023), I applied statistical methods and time-series analytics to forecast real estate development performance and market fluctuations. I engineered Power BI dashboards for valuation, ROI, and portfolio risk insights, automated data ingestion and transformation with Python and Power Automate—cutting manual processing by 60%—and standardized data quality protocols to support compliance and analytical traceability.