Hello World!
Welcome 👋
My name is Yelene Cisse and I am a Data Scientist/ML Engineer with 3 years of production ML experience and a passion for building intelligent systems that solve real-world problems.
Currently pursuing my MS in Data Science at Columbia University, I specialize in:
- Production ML Systems: End-to-end model lifecycle and governance
- Recommendation Systems: Collaborative filtering, sentiment analysis, personalization
- Data Engineering: Pipeline optimization, ETL, feature engineering
Recent Highlights
- Built production GLMs at Chubb Ltd. for actuarial pricing across Property, Auto, and Worker’s Compensation lines of business.
- Developed Sentiment Analysis on 581K+ Sephora products reviews for SkinWise , an AI-powered skincare agent recommending products meeting dermatological needs.
- Completed Applied Machine Learning, Exploratory Data & Visualization, Algorithms for Data Science and Probability & Statistics courses at Columbia University.
What I’m Working On
Currently working on an E-commerce project, leveraging SQL, Python and A/B testing best practices on a 100K dataset with customers, sellers, orders and products information.