- Spearheaded the creation of foundational data tables for Market Research, improving data quality & boosting efficiency of project work by 300%. - Used predictive modeling to refine targeting strategies for survey studies, resulting in more accurate and actionable market insights. Initial testing of models boosted completion rate by nearly 50%. - Built an analytics pipeline in Scala to automate the creation of statistics for marketing campaigns. This pipeline reduced the time spent running these statistics from 100+ hours of work down to 6 hours and is estimated to drive over $14 million in increased bookings annually.

- Lead all technical aspects of market research studies including survey design, sample targeting, survey programming, fielding, data cleaning, weighting, and analytics.- Conducted A/B tests to better understand the factors that influence click through rate. - Built programs in Python to improve efficiency of data ingestion, analytics, and data transformation. - Revamped outdated SQL training documentation and trained new members of the team on SQL.- Worked cross-functionally with business operations, sales operations, product, and data science to build more robust datasets for analytics as well as to share research data across teams.

Returned to Cabrillo as a Statistician on the Institutional Research team.- Built cloud-based data dashboards so that members of the team could easily reach data from home during the COVID pandemic. - Created reports in SSRS to automate reporting for multiple departments, reducing the manual process by these teams and improving efficiency by 90%.- Built data pipelines for program planning that provided access to data year round, automating what used to take researchers two months of work. - Retrieved ad-hoc data from the data warehouse using T-SQL to maintain funding on existing grants and make cases for future grants. - Used predictive analytics, cluster analyses, and variance analyses to evaluate and predict student enrollment behavior.

- Built the district's first data dashboards from the ground up, including data modeling and design, to improve data driven decision making across the district. - Automated reporting for student outcomes measures, reducing manual processes and improving efficiency by 60%.- Analyzed focus group research (qualitative) to evaluate student experience.- Retrieved and cleaned data from the data warehouse for ad hoc research requests.

- Built Cabrillo College's first data dashboards from the ground up, including data modeling, pipeline building (ETL), dashboard design, and training of users on the data. - Transformed the outdated Factbook from a PDF to an automated report, saving the team of five researchers three months of work every year. - Analyzed data from the data warehouse to better understand student behavior and course success and completion.- Used a segmentation analysis to further understand enrollment patterns of students at the college and presented this research both internally and at conferences.- Presented findings from statistical analyses across departments to drive change through the organization, including the reduction of text book costs to students, increased evaluation of course success and completion rates, and improved program planning.

- Used SSRS to create reports that delivered data to stakeholders each week - Built predictive models in R to predict software sales

- Created data visualizations in R and Tableau for research projects

- Used Qualtrics and Canvas to create and distribute surveys to participants- Analyzed survey data using R- Created visualizations of the data using R- Presented findings to faculty

Graded papers and homework for statistics courses

- Helped undergraduate students with their statistics projects- Managed computers in the lab