Risk Analytics Pipeline
An end-to-end case study: integrating HR, payroll, and operational data with SQL and Snowflake, then training a Python predictive model that reaches 95% accuracy for enterprise risk forecasting.
View case study5+ years building SQL pipelines, predictive models, and executive dashboards across Fortune 500 organizations — SQL, Python, Snowflake, Tableau, and Power BI.
I'm a Senior Data Analyst delivering enterprise data analysis, SQL development, Tableau reporting, and business intelligence across Fortune 500 organizations. I extract and analyze complex datasets, build executive dashboards, validate data accuracy, support UAT testing, and work across HR, Operations, Finance, and IT to improve reporting and business processes — using SQL, Python, Snowflake, Tableau, Power BI, and REST APIs.
Earlier: Data Analyst (Contract) at The Home Depot, 2022 · Google Business Process Analyst at Cognizant, 2020 – 2021.
A sample of the pipelines, models, and dashboards behind the roles above.
An end-to-end case study: integrating HR, payroll, and operational data with SQL and Snowflake, then training a Python predictive model that reaches 95% accuracy for enterprise risk forecasting.
View case studyEnterprise dashboards unifying HR, recruiting, payroll, and operational data — tracking turnover, staffing trends, and productivity for executive leadership.
Open-source Python project predicting short-term rental host performance from listing and review data.
View on GitHubI'm always glad to talk through a data problem, a dashboard, or a role that needs enterprise SQL and Python expertise.
Email MeReach out directly or take a look at the full Risk Analytics Pipeline case study.