Summary
Inna Wendell is a Senior Data Scientist in the Austin area with eight years of experience applying machine learning to product and growth problems across streaming, e-commerce, and recruitment analytics. With a PhD-level background in linguistics, she blends deep language expertise with practical ML—building churn and resurrection models, running A/B experiments, and deploying recommendation pipelines in AWS. She’s delivered production-ready solutions using CatBoost, logistic regression, and word2vec, and has a track record of turning textual and behavioral signals into targeted marketing and retention strategies. Notably, she built a Scrapy crawler and a multi-class classifier to profile successful LinkedIn job posts, demonstrating an uncommon mix of NLP, web scraping, and product-focused experimentation.
8 years of coding experience
4 years of employment as a software developer
Bachelor's degree International Relations and Affairs, Bachelor's degree International Relations and Affairs at Pittsburg State University
Bachelor's degree Applied Linguistics, Bachelor's degree Applied Linguistics at Irkutsk State Linguistic University
University of California, Los Angeles