TIAASenior Analyst - Customer Insights
Aug. 2020 - Jul. 2022Lewisville, Texas, United StatesManaged ML operations activities with focus on pre-production quality control of predictive models developed using SAS, SQL, and Python. Led user acceptance testing (UAT) sessions for advanced tools, supporting transition to cloud data warehousing and model development in Python and R. Mentored new data analysts and fostered career progression, improving their overall proficiency in SQL, Python, R, and Tableau. Select Highlights: • Introduced Tableau dashboard to monitor ML model performance post-deployment, a process previously non-existent. Collaborated with 4 cross-functional teams to define parameters and build, automate, and deploy the dashboard.
• Reduced table downtime by over 90% by developing automation for ML and predictive model scoring, enhancing issue detection before impacting end users. • Accelerated deployment and improved operational effectiveness by transitioning ML and predictive models from development to production, saving 20% of time-to-market. • Developed Observer model monitoring dashboard, improving cross-functional oversight and accountability.