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Matthew Melendez
Mid-level Data Scientist specializing in machine learning and analytics
Houston, TXData Scientist5 years experienceMid-LevelTransportation & LogisticsFood & Beverage DistributionHealthcare
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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.
Experience
Data ScientistSysco
Data ScientistKaiser Permanente/Ernst & Young
Graduate Research AssistantTexas Christian University
Education
Texas Christian Universitymaster, Physics
University of Dallasbachelor, Physics
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
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