Data Science Intern
Current- Built and contributed to diverse data models, applications, and sales enablement strategies using financial, geographic, routing, and inventory data for portfolio companies.- Developed quantitative and qualitative analyses and models using Python, SQL, and Scala, utilizing GCP, dbt, Fivetran, and other tools.- Supported internal sourcing and fundraising efforts through web crawlers, LLMs, and dataset development pipelines for unstructured sources.- Developed applications on Google Cloud App Engine using Streamlit and Databricks to support backend operations for portfolio company staff.- Contributed to the development of an Entity Resolution pipeline to enhance Named Entity Recognition (NER) tasks across the firm.