.png){kind=logo}
Matthew Melendez
Mid-level Data Scientist specializing in machine learning and analytics
Connect with Matthew
Matthew already has a relationship with Reval, so a warm intro from us gets a much better response than cold outreach.
Recommended
Already have an account?
About
Data scientist with hands-on experience building an XGBoost-based customer segmentation/churn risk scoring model used by sales and marketing teams. Emphasizes production-grade practices—efficient SQL for large-scale data pulls, rigorous data validation/testing, and scalable, modular Python code designed to support multiple customer types.
Find your next great hire
Our AI agents source, screen, and vet candidates for your open roles. Get qualified candidates within 48 hours.
Key Strengths
- Built customer churn/segmentation scoring model to inform sales and marketing actions
- Handles large datasets via efficient SQL extraction and pre-model feature engineering
- Strong data quality discipline (deduping, data types, validation checks) in collaboration with data engineering
- Production-minded workflow: modular, reusable code; version control and code reviews
- Balances experimentation and delivery using unit tests/data quality tests and timeline alignment with PMs
- Model optimization using SHAP-based feature selection and grid search tuning
Like what you see? We'll introduce you to Matthew directly.
Experience
Education
Awards
Skills
Languages
Browse Similar
Interested in Matthew?
We'll personally introduce you - no strings attached.
Build your dream team with Reval
Our AI agents source, screen, and vet candidates for your open roles. Get qualified, high-intent candidates on your desk within 48 hours.
Discover more candidates like Matthew
Search across thousands of pre-screened, high-quality, high-intent candidates on Reval.
Search Talent