- 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 [email protected]
π―
Focusing
π PhD(c) in Industrial Engineering | Data Scientist | Operation Research Scientist | Machine Learning Enthusiast
- Canada
- @BrendaCobenaT
- in/brenda-cobena
Pinned Loading
-
Solving-Discrete-Optimization-Problems-with-Greedy-GRASP-and-Local-Search
Solving-Discrete-Optimization-Problems-with-Greedy-GRASP-and-Local-Search PublicDiscrete Optimization
C 1
-
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
-
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
-
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.
Something went wrong, please refresh the page to try again.
If the problem persists, check the GitHub status page or contact support.
If the problem persists, check the GitHub status page or contact support.