• Forecasted data acquisition costs and analyzed purchasing trends using R and SQL, resultingin a cost reduction of over 30% annually.• Projected patient medication costs at the population level to support client staffing andplanning.• Led the search and onboarding of a new BI tool to support internal and external reporting.• Automated monthly reporting in PowerBI, saving 24 hours per month in analyst time andproviding Customer Success with interactive dashboards to answer client questions.• Developed a method of measuring AI impact to support client value proposition using a testand control process.

• Created several executive-level dashboards to inform decision makers across Operations,Sales & Marketing, Customer Success, and Finance in Sigma.• Predicted property maintenance costs to support Operations’ financial planning.• Calculated and tracked KPIs for multiple teams across the organization, pulling from Postgresand Snowflake.• Created tables in Snowflake tracking property attributes and associated maintenance costs.• Administered, onboarded, and trained employees in using Sigma and Snowflake.• Migrated dashboards from Chart.io to Sigma, updated queries that pulled from Postgres topull from Snowflake.

• Developing Spark pipelines for Natural Language Processing• Train Machine Learning models (R, tidymodels, tidyverse), topics such as hospital admissions, customer retention, and survey responses• Create engineered feature sets for predictive modeling (Hive/HQL, Oracle SQL)• Develop visualizations and exploratory data analyses (R, Shiny), such as network analysis, textanalysis, and difference-in-difference analysis• Developed a dashboard around model interpretability to represent potential payoffs if models areacted upon• Created educational data science articles for a general audience• Lead workshop presentations on data science topics

• Recruiting and presenting at local colleges for 2019 Diversity and Inclusion Summer Internship Program• Developing educational content for high school interns, blog content for Analytics and Data Division, and application tips and strategies content for general audiences• Created an external infographic that demonstrates the alignment between careers and degrees within Excellus BCBS to assist students, created internship description and requirements template for open positions • Designed an internship dashboard in R (ex. flexdashboard, ggplot2) for recruitment strategy• Planned and hosted an internship career fair event for local college students to meet hiring managers and learn about Excellus BCBS internship opportunities

• Developed an enterprise artifact to communicate the state of clinical data throughout the Health Plan to assist strategists with current clinical data initiatives• Identified sources of clinical data through interactions with stakeholders, researched departmental processes of obtaining and storing data, researched lab and vital tests to better understand current data, and created visualizations of clinical data using R (ggplot2)• Presented results to Excellus’s data science team, managers, and employees of the company• Attended over ten professional development courses covering topics such as company culture, working in a multi-generational workforce, understanding personality types, and personal branding

• Coordinate up to 20 individual cashier schedules to maximize customer checkout efficiency while minimizing labor costs• Resolve software and hardware issues with registers, scanners, and scales to increase productivity • Maximize front end efficiency by computing units per labor hour through Excel by tracking labor hours; collect and analyze data to make better scheduling decisions; innovated method of stocking supplies to increase efficiency

• Communicate customer needs and concerns throughout multiple departments to exceed customer expectations; resolve disputes between customers, departments, and employees

- Taught students about 3D printing software/hardware, assisted students in 3D printing projects- Setup 3D printers, managed filaments, supplies, and ensured organization of lab- Organized 3D printing demonstrations on campus to increase exposure for the lab