Contributions to ACT
- ● Contributed to a product-focused data science team that designs, develops, deploys, and maintains machine learning solutions for over 450 higher education clients, generating over $3 million in revenue annually
- ● Collaborated with the Chief Product Officer, VPs, and product managers weekly to gather requirements and inform the design and development of multiple data and modeling products
- ● Engineered and deployed a data validation system in Databricks to help clients understand and improve their data quality for modeling, enhancing the reliability and accuracy of predictive models
- ● Played a critical role in the migration of data science and data engineering infrastructure from legacy systems to Databricks, optimizing performance and scalability for future growth by efficiently extracting, transforming, storing, and partitioning data with PySpark, SQL, and Delta Lake
- ● Designed and implemented the SQL table structures and ETLs required to deliver model predictions and reports for new products
- ● Developed a POC for a semantic content matching and sentiment analysis product using open source language models and vector databases
- ● Designed, developed, and implemented panel causal models that evaluated a student’s likelihood to respond to marketing engagement