- π Hi, Iβm Brenda
- π Passionate about solving real-world problems using data-driven approaches. Experienced in machine learning, optimization, and data analysis with a strong background in financial, logistics, and transportation applications. Always open to learning new techniques and collaborating on innovative projects.
- π« How to reach me brendenisse2004@gmail.com
π―
Focusing
π PhD(c) in Industrial Engineering | Data Scientist | Operation Research Scientist |
- Canada
-
09:04
(UTC -05:00) - @BrendaCobenaT
- in/brenda-cobena
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Solving-Discrete-Optimization-Problems-with-Greedy-GRASP-and-Local-Search
Solving-Discrete-Optimization-Problems-with-Greedy-GRASP-and-Local-Search PublicDiscrete Optimization
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Advanced-Reinforcement-Learning-for-Financial-Option-Pricing
Advanced-Reinforcement-Learning-for-Financial-Option-Pricing PublicImplementation of Q-Learning, Double Q-Learning, and LSPI for pricing American options under the Black-Scholes model
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From-Scratch-Logistic-Regression-and-Decision-Trees-for-Churn-Prediction
From-Scratch-Logistic-Regression-and-Decision-Trees-for-Churn-Prediction PublicChurn prediction for banking customers using logistic regression and decision trees, implemented from scratch in R.
R 1
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Predicting-Travel-Mode-Choices-with-Logistic-Regression-and-SVM
Predicting-Travel-Mode-Choices-with-Logistic-Regression-and-SVM PublicMachine learning models for travel mode prediction, using logistic regression and SVM on real-world transportation data.
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