Kaitlyn Hennacy

M.S. — Management Science & Engineering

B.S. — Chemical Engineering

MicroMasters — Statistics and Data Science

Machine Learning Engineer

• Researched and implemented generative AI techniques to discover, organize, and evaluate customer intents, creating a new business product rolled out to all English-speaking clients.
• Developed a two-way information flow between AI agents and human specialists to improve answer accuracy; internal evaluation showed the resulting chat assistant outperforming both competing vendors.
• Explored and tested applications of AI including automated form-filling, suggested prompts, knowledge gap analysis, and thread detection.

Data Engineer

• Developed a price forecasting system that improved upon prior price signals and deployed the resulting process to optimize electric vehicle charging.
• Owned data modeling for the U.S. region of a global energy company, transforming 100+ tables and building self-service dashboards to improve analytics capabilities.

Head of Data Analytics

• Led the data team and introduced data science initiatives across an early-stage startup, including delivery schedule optimization and customer lifetime value prediction.
• Built a full-stack restaurant selection platform supporting the restaurant partnerships team that quickened data-informed decisions around pricing and product offerings.
• Established data integrity for restaurant payments and automated invoice generation and bank transfers, eliminating approximately 20 hours of weekly manual effort and improving transparency across hundreds of restaurant partners.

Data Automation Engineer

• Built scalable data infrastructure using AWS, Snowflake, and dbt, reducing data retrieval time to seconds.
• Designed and implemented day-of-delivery logistics systems supporting hundreds of delivery routes per week.
• Automated marketing communications, internal reporting, email workflows, and Slack alerts serving internal stakeholders, hundreds of restaurant partners, and thousands of customers.
• Built simulations and analyzed operational data to identify factors affecting delivery-route efficiency; translated findings into operational recommendations that increased deliveries completed per hour.

Volunteer

Aggregate data and reporting for this non-profit that sends personalized baked goods to the families of critically ill children

Volunteer (2025-Jul -); VP Education (2023-Jan – 2025-Jul)

Began a volunteer program for hosting public speaking meetings in a correctional institution

Machine Learning

Generative AI · Clustering · Classification · Time Series Analysis · Neural Networks · Recommender Systems · Regression

Computer Programming

Python · HTML · CSS · JavaScript · TypeScript

Data Engineering and Data Modeling

AWS (S3, EC2, RDS, DynamoDB, API Gateway, Lambda) · SQL · PostGIS · dbt · Airflow · Databricks · Snowflake · MongoDB · CDC · ELT

Data Analysis and Data Visualization

A/B and Hypothesis Testing · Experimental Design · Streamlit · Tableau · pandas · scipy · scikit-learn