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Annah Aunger

@annahaunger

I build machine learning and optimization solutions that improve targeting, sales, and operational decisions.

At Nestlé Purina PetCare, I build customer analytics, machine learning, and optimization solutions for the Kroger pet category. I've developed segmentation across 14 million pet households and 100M+ transactions, deployed a space-allocation model identifying a $220M annual opportunity, and delivered personalization campaigns with sales lifts up to 179% versus control groups.

I've also improved forecasting accuracy from 7–8% error to 2–3%, increased sales by $4.25M, and automated more than 400 hours of annual reporting work. I translate ambiguous business objectives into scalable Python, SQL, PySpark, Databricks, and Snowflake workflows that turn model outputs into measurable actions.

Experience

Work history, roles, and key accomplishments

Current

Data Scientist

Current

Nestlé Purina PetCare

Sep 2024 - Present (1 year 11 months)

Built unsupervised machine learning segmentation models on 14M pet households and over 100M transactions to identify high-value customer groups. Designed and deployed a Mixed Integer Linear Program for space allocation, identifying a $220M annual opportunity.

Python SQL PySpark Databricks Snowflake Machine Learning Customer Segmentation Clustering Personalization Recommendation Systems Forecasting Optimization Experimental Design Business Intelligence

Dog Category Analyst

Nestlé Purina PetCare

Oct 2023 - Sep 2024 (11 months)

Analyzed category around reset calendar and proposed dog product and placement decisions for total Kroger.

Category Analysis Data Analysis Retail Analytics

Forecasting & On-Shelf Availability Business Analyst

Nestlé Purina PetCare

Mar 2023 - Oct 2023 (7 months)

Developed a new forecasting process through statistical modeling in R, reducing error from 7-8% to 2-3%, increasing sales by $4.25M, fill rate by 30% in key groups, and improving OSA by 11.8%.

R Statistical Modeling Forecasting Data Analysis

Education

Degrees, certifications, and relevant coursework

University of Illinois Urbana-Champaign

Master of Science, Computer Science

Grade: 4.0/4.0

Pursuing a Master of Science in Computer Science with a focus on data science, including coursework in collaborative filtering, recommender systems, ranking algorithms, deep learning, and NLP.