Abigail Carpenter

My dual Master’s in Market Research and Consumer Behavior, and Big Data and Business Analytics compliments my business acumen with technical expertise, enabling me to bring business insights that bridge information from technology and business strategy. My technical expertise applies to contemporary subjects such as Machine Learning and MLOPs, Deep Learning, NLP, and Modern Data Architectures.

• AWS Data Engineer (In Progress)
• DataCamp SQL Associate (In Progress)

• Maybelline, Kantar, 11/01/22, Developed an innovative research plan for Maybelline to reinvigorate declining sales in Chinese market
• Heineken, Nielson, 01/01/23 - 03/31/23, Designed a rebrand strategy to revitalize sales of Ladron de Manzanas in Spanish market. Conducted primary and secondary research through focus groups, survey data, field research, and analysis of market panel data.
• RyanAir, 03/01/24, Cleaned and performed exploratory analysis on raw data (61 columns) in Python in order optimize food waste. Deployed Decision Tree and Random Forest for multi-target regression to identify patterns and trends to predict in-flight fresh food consumption.
• Indra-Minsait, 05/01/24 - 07/31/24, Applied Statistical Process Control to establish thresholds over time series data that improves sensor data signals in industrial machines. Constructed a programming/ETL pipeline for data ingestion, processing, and storage leveraging CockroachDB and Kafka Streams. Created BI dashboards for monitoring time series and generated alerts filterable by parameter type in Tableau.