I am a Senior Data Scientist at Publicis Starcom (Chicago, IL) with 5+ years of experience in machine learning, generative AI, and causal inference for marketing and business intelligence. I use Python, R, and SQL to deliver predictive modeling, customer segmentation, and A/B testing that improve campaign performance and optimize ad spend. I build scalable analytics solutions on Snowflake, Azure, and Databricks, lead cross-functional initiatives, and mentor junior data scientists to turn complex data into clear business action.
Download my resumé .
Interests
- Causal Inference
- Machine Learning
- Generative AI
Education
-
PhD in Economics, 2016
University of Kansas
-
MA in Economics, 2013
University of Kansas
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BA in Systems Engineering, 2007
National Defense University
Skills
Technical
R
Python
SQL
Data Science
Hobbies
Hiking
Soccer
Music
Experience
Senior Data Scientist
- Drive audience strategy by creating purchase-based behavioral segments using multiple data sources.
- Developed reusable lookalike modeling pipelines as parameterized Databricks jobs (PySpark/SQL).
- Built an overlap and UpSet-plot reporting job in Databricks to quantify audience intersections.
- Perform data integrity and QA analysis (schema/volume checks, anomalies, reconciliation) for reliable refreshes.
- Deliver ad hoc analysis to support planning, optimization, and stakeholder decision-making.
Projects
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Contact
- deayan@outlook.com
- 212 220 5000
- Chicago, IL 60601